Category: Biodiversity data

Nanopublications tailored to biodiversity data

Novel nanopublication workflows and templates for associations between organisms, taxa and their environment are the latest outcome of the collaboration between Knowledge Pixels and Pensoft.

First off, why nanopublications?

Nanopublications complement human-created narratives of scientific knowledge with elementary, machine-actionable, simple and straightforward scientific statements that prompt sharing, finding, accessibility, citability and interoperability. 

By making it easier to trace individual findings back to their origin and/or follow-up updates, nanopublications also help to better understand the provenance of scientific data. 

With the nanopublication format and workflow, authors make sure that key scientific statements – the ones underpinning their research work – are efficiently communicated in both human-readable and machine-actionable manner in line with FAIR principles. Thus, their contributions to science are better prepared for a reality driven by AI technology.

The machine-actionability of nanopublications is a standard due to each assertion comprising a subject, an object and a predicate (type of relation between the subject and the object), complemented by provenance, authorship and publication information. A unique feature here is that each of the elements is linked to an online resource, such as a controlled vocabulary, ontology or standards. 

Now, what’s new?

As a result of the partnership between high-tech startup Knowledge Pixels and open-access scholarly publisher and technology provider Pensoft, authors in Biodiversity Data Journal (BDJ) can make use of three types of nanopublications:

  1. Nanopublications associated with a manuscript submitted to BDJ. This workflow lets authors add a Nanopublications section within their manuscript while preparing their submission in the ARPHA Writing Tool (AWT). Basically, authors ‘highlight’ and ‘export’ key points from their papers as nanopublications to further ensure the FAIRness of the most important findings from their publications.
  1. Standalone nanopublication related to any scientific publication, regardless of its author or source. This can be done via the Nanopublications page accessible from the BDJ website. The main advantage of standalone nanopublication is that straightforward scientific statements become available and FAIR early on, and remain ready to be added to a future scholarly paper.
  1. Nanopublications as annotations to existing scientific publications. This feature is available from several journals published on the ARPHA Platform, including BDJ. By attaching an annotation to the entire paper (via the Nanopublication tab) or a text selection (by first adding an inline comment, then exporting it as a nanopublication), a reader can evaluate and record an opinion about any article using a simple template based on the Citation Typing Ontology (CiTO).

Nanopublications for biodiversity data?

At Biodiversity Data Journal (BDJ), authors can now incorporate nanopublications within their manuscripts to future-proof the most important assertions on biological taxa and organisms or statements about associations of taxa or organisms and their environments. 

On top of being shared and archived by means of a traditional research publication in an open-access peer-reviewed journal, scientific statements using the nanopublication format will also remain ‘at the fingertips’ of automated tools that may be the next to come looking for this information, while mining the Web.

Using the nanopublication workflows and templates available at BDJ, biodiversity researchers can share assertions, such as:

So far, the available biodiversity nanopublication templates cover a range of associations, including those between taxa and individual organisms, as well as between those and their environments and nucleotide sequences. 

Nanopublication template customised for biodiversity research publications available from Nanodash.

As a result, those easy-to-digest ‘pixels of knowledge’ can capture and disseminate information about single observations, as well as higher taxonomic ranks. 

The novel domain-specific publication format was launched as part of the collaboration between Knowledge Pixels – an innovative startup tech company aiming to revolutionise scientific publishing and knowledge sharing and the open-access scholarly publisher Pensoft.

… so, what exactly is a nanopublication?

General structure of a nanopublication:

“the smallest unit of publishable information”,

as explained on nanopub.net.

Basically, a nanopublication – unlike a research article – is a tiny snippet of a precise and structured scientific finding (e.g. medication X treats disease Y), which exists as a reusable and cite-able pieces of a growing knowledge graph stored on a decentralised server network in a format that it is readable for humans, but also “understandable” and actionable for computers and their algorithms.

These semantic statements expressed in community-agreed terms, openly available through links to controlled vocabularies, ontologies and standards, are not only freely accessible to everyone in both human-readable and machine-actionable formats, but also easy-to-digest for computer algorithms and AI-powered assistants.

In short, nanopublications allow us to browse and aggregate such findings as part of a complex scientific knowledge graph. Therefore, nanopublications bring us one step closer to the next revolution in scientific publishing, which started with the emergence and increasing adoption of knowledge graphs. 

“As pioneers in the semantic open access scientific publishing field for over a decade now, we at Pensoft are deeply engaged with making research work actually available at anyone’s fingertips. What once started as breaking down paywalls to research articles and adding the right hyperlinks in the right places, is time to be built upon,”

said Prof. Lyubomir Penev, founder and CEO at Pensoft, which had published the very first semantically enhanced research article in the biodiversity domain back in 2010 in the ZooKeys journal.

Why are nanopublications necessary?

By letting computer algorithms access published research findings in a structured format, nanopublications allow for the knowledge snippets that they are intended to communicate to be fully understandable and actionable. With nanopublications, each of those fragments of scientific information is interconnected and traceable back to its author(s) and scientific evidence. 

A nanopublication is a tiny snippet of a precise and structured scientific finding (e.g. medication X treats disease Y), which exists within a growing knowledge graph stored on a decentralised server network in a format that it is readable for humans, but also “understandable” and actionable for computers and their algorithms. Illustration by Knowledge Pixels. 

By building on shared knowledge representation models, these data become Interoperable (as in the I in FAIR), so that they can be delivered to the right user, at the right time, in the right place , ready to be reused (as per the R in FAIR) in new contexts. 

Another issue nanopublications are designed to address is research scrutiny. Today, scientific publications are produced at an unprecedented rate that is unlikely to cease in the years to come, as scholarship embraces the dissemination of early research outputs, including preprints, accepted manuscripts and non-conventional papers.

A network of interlinked nanopublications could also provide a valuable forum for scientists to test, compare, complement and build on each other’s results and approaches to a common scientific problem, while retaining the record of their cooperation each step along the way. 

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We encourage you to try the nanopublications workflow yourself when submitting your next biodiversity paper to Biodiversity Data Journal. 

Community feedback on this pilot project and suggestions for additional biodiversity-related nanopublication templates are very welcome!

This Nanopublications for biodiversity workflow was created with a partial support of the European Union’s Horizon 2020 BiCIKL project under grant agreement No 101007492 and in collaboration with Knowledge Pixels AG.The tool uses data and API services of ChecklistBank, Catalogue of Life, GBIF, GenBank/ENA, BOLD, Darwin Core, Environmental Ontology (ENVO), Relation Ontology (RO), NOMEN, ZooBank, Index Fungorum, MycoBank, IPNI, TreatmentBank, and other resources. 

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On the journal website: https://bdj.pensoft.net/, you can find more about the unique features and workflows provided by the Biodiversity Data Journal (BDJ), including innovative research paper formats (e.g. Data Paper, OMICS Data Paper, Software Description, R Package, Species Conservation Profiles, Alien Species Profile), expert-provided data audit for each data paper submission, automated data export and more.

Don’t forget to also sign up for the BDJ newsletter via the Email alert form on the journal’s homepage and follow it on Twitter and Facebook.

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How it works: Nanopublications linked to articles in RIO Journal

Earlier this year, Knowledge Pixels and Pensoft presented several routes for readers and researchers to contribute to research outputs – either produced by themselves or by others – through nanopublications generated through and visualised in Pensoft’s cross-disciplinary Research Ideas and Outcomes (RIO) journal, which uses the same nanopublication workflows.

How it works: Nanopublications linked to articles in RIO Journal

To bridge the gap between authors and their readers or fellow researchers – whether humans or computers – Knowledge Pixels and Pensoft launched workflows to link scientific publications to nanopublications.

A new pilot project by Pensoft and Knowledge Pixels breaks scientific knowledge into FAIR and interlinked snippets of precise information

As you might have already heard, Knowledge Pixels: an innovative startup tech company aiming to revolutionise scientific publishing and knowledge sharing by means of nanopublications – recently launched a pilot project with the similarly pioneering open-science journal Research Ideas and Outcomes (RIO), in a first of several upcoming collaborations between the software developer and the open-access scholarly publisher Pensoft.

“The way how science is performed has dramatically changed with digitalisation, the Internet, and the vast increase in data, but the results are still shared in basically the same form and language as 300 years ago: in narrative text, like a story. These narratives are not precise and not directly interpretable by machines, thereby not FAIR. Even the latest impressive AI tools like ChatGPT can only guess (and sometimes ‘hallucinate’) what the authors meant exactly and how the results compare,”

said Philipp von Essen and Tobias Kuhn, the two founders of Knowledge Pixels in a press announcement.

So, in order to bridge the gap between authors and their readers and fellow researchers – whether humans or computers – the partners launched several workflows to bi-directionally link scientific publications from RIO Journal to nanopublications. We will explain and demonstrate these workflows in a bit.

Now, first, let’s see what nanopublications are and how they contribute to scientific knowledge, researchers and scholarship as a whole.

What are nanopublications?

General structure of a nanopublication:

“the smallest unit of publishable information”,

as explained by Knowledge Pixel on nanopub.net.

Basically, a nanopublication – unlike a research article – is just a tiny snippet of a scientific finding (e.g. medication X treats disease Y), which exists as a complete and straightforward piece of information stored on a decentralised server network in a specially structured format, so that it is readable for humans, but also “understandable” and actionable for computers and their algorithms. 

A nanopublication may also be an assertion related to an existing research article meant to support, comment, update or complement the reported findings.

In fact, nanopublications as a concept have been with us for quite a while now. Ever since the rise of the Semantic Web, to be exact. At the end of the day, it all boils down to providing easily accessible information that is only a click away from additional useful and relevant content. The thing is, technological advancement has only recently begun to catch up with the concept of nanopublications. Today, we are one step closer to another revolution in scientific publishing, thanks to the emergence and increasing adoption of what we call knowledge graphs.

“As pioneers in the semantic open access scientific publishing field for over a decade now, at Pensoft we are deeply engaged with making research work actually available at anyone’s fingertips. What once started as breaking down paywalls to research articles and adding the right hyperlinks in the right places, is time to be built upon,”

said Prof. Lyubomir Penev, founder and CEO at Pensoft: the open-access scholarly publisher behind the very first semantically enhanced research article in the biodiversity domain, published back in 2010 in the ZooKeys journal.

Why nanopublications?

Apart from enabling computer algorithms with wholesome access to published research findings, nanopublications allow for the knowledge snippets that they are intended to communicate to be fully understandable and actionable. With nanopublications, each byte of knowledge is interconnected and traceable back to its author(s) and scientific evidence. 

Nanopublications present a complete and straightforward piece of information stored on a decentralised server network in a specially structured format, so that it is readable for humans, but also “understandable” and actionable for computers and their algorithms. Illustration by Knowledge Pixels.

By granting computers the capability of exchanging information between users and platforms, these data become Interoperable (as in the I in FAIR), so that they can be delivered to the right user, at the right time, in the right place. 

Another issue nanopublications are designed to address is research scrutiny. Today, scientific publications are produced at an unprecedented rate that is unlikely to cease in the years to come, as scholarship embraces the dissemination of early research outputs, including preprints, accepted manuscripts and non-conventional papers.

By linking assertions to a publication by means of nanopublications allows the original authors and their fellow researchers to keep knowledge up to date as new findings emerge either in support or contradiction to previous information.

A network of interlinked nanopublications could also provide a valuable forum for scientists to test, compare, complement and build on each other’s results and approaches to a common scientific problem, while retaining the record of their cooperation each step along the way. 

A scientific issue that would definitely benefit from an additional layer of provenance and, specifically, a workflow allowing for new updates to be linked to previous publications is the biodiversity domain, where species treatments, taxon names, biotic interactions and phylogenies are continuously being updated, reworked and even discarded for good. This is why an upcoming collaboration between Pensoft and Knowledge Pixels will also involve the Biodiversity Data Journal (stay tuned!)

What can you do in RIO?

Now, let’s have a look at the *nano* opportunities already available at RIO Journal.

The integration between RIO and Nanodash: the environment developed by Knowledge Pixels where users edit and publish their nanopublications is available at any article published in the journal. 

Add reaction to article

This function allows any reader to evaluate and record an opinion about any article using a simple template. The opinion is posted as a nanopublication displayed on the article page, bearing the timestamp and the name of the creator.

All one needs to do is go to a paper, locate the Nanopubs tab in the menu on the left and click on the Add reaction command to navigate to the Nanodash workspace accessible to anyone registered on ORCiD. 

To access the Nanodash workspace, where you can fill in a ready-to-use, partially filled in nanopublication template, simply go to the Nanopubs tab in the menu of any article published in RIO Journal and click Add reaction to this article (see example).

Within the simple Nanodash workspace, the user can provide the text of the nanopublication; define its relation to the linked paper using the Citation Typing Ontology (CiTO); update its provenance and add information (e.g. licence, extra creators) by inserting extra elements. 

To do this, the Knowledge Pixels team has created a ready-to-use nanopublication template, where the necessary details for the RIO paper and the author that secure the linkage have already been pre-filled.

Post an inline comment as a nanopublication

Another opportunity for readers and authors to add further meaningful information or feedback to an already published paper is by attaching an inline comment and then exporting it to Nanodash, so that it becomes a nanopublication. To do this, users will simply need to select some text with a left click, type in the comment, and click OK. Now, their input will be available in the Comment tab designed to host simple comments addressing the authors of the publication. 

While RIO has long been supporting features allowing for readers to publicly share comments and even CrossRef-registered post-publication peer reviews along the articles, the nanopublications integration adds to the versatile open science-driven arsenal of feedback tools. More precisely, the novel workflow is especially useful for comments that provide a particularly valuable contribution to a research topic.

To make a comment into a nanopublication the user needs to locate the comment in the tab, and click on the Post as Nanopub command to access the Nanodash environment.

Add a nanopublication while writing your manuscript

A functionality available from ARPHA Writing Tool – the online collaborative authoring environment that underpins the manuscript submission process at several journals published by Pensoft, including RIO Journal – allows for researchers to create a list of nanopublications within their manuscripts. 

By doing so, not only do authors get to highlight their key statements in a tabular view within a separate pre-designated Nanopublications section, but they also make it easier for reviewers and scientific editors to focus on and evaluate the very foundations of the paper.

By incorporating a machine algorithm-friendly structure for the main findings of their research paper, authors ensure that AI assistants, for example, will be more likely to correctly ‘read’, ‘interpret’ and deliver the knowledge reported in the publication for the next users and their prompts. Furthermore, fellow researchers who might want to cite the paper will also have an easier time citing the specific statement from within the cited source, so that their own readers – be it human, or AI – will make the right links and conclusions.

Within a pre-designated article template at RIO – regardless of the paper type selected – authors have the option to either paste a link to an already available nanopublication or manage their nanopublication via the Nanodash environment by following a link. Customised for the purposes of RIO, the Nanodash workspace will provide them with all the information needed to guide them through the creation and publication of their nanopublications.

Why Research Ideas and Outcomes, a.k.a. RIO Journal?

Why did Knowledge Pixels and Pensoft opt to run their joint pilot at no other journal within the Pensoft portfolio of open-access scientific journals but the Research Ideas and Outcomes (RIO)?

Well, one may argue that there simply was no better choice than an academic outlet that was initially designed to serve as “the open-science journal”: something it has been honourably recognised for by SPARC in 2016, only one year since its launch. 

Innovative since day #1, back in 2015, RIO surfaced as an academic outlet to publish a whole lot of article types, reporting on scientific work from across the research process, starting from research ideas, grant proposals and workshop reports. 

After all, back in 2015, when it was only a handful of funders who required Data and Software Management Plans to be made openly and publicly, RIO was already providing a platform to publish those as easily citable research outputs, complete with DOI and registration on Crossref. In the spirit of transparency, RIO has always operated an open and public by default peer review policy.

More recently, RIO introduced a novel collections workflow which allows, for example, project coordinators, to provide a one-stop access point for publications and all kinds of valuable outputs resulting from their projects regardless of their publication source.

Bottom line is, RIO has always stood for innovation, transparency, openness and FAIRness in scholarly publishing and communication, so it was indeed the best fit for the nanopublication pilot with Knowledge Pixels.

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We encourage you to try the nanopublications workflow yourself by going to https://riojournal.com/articles, and posting your own assertion to an article of your choice!

Don’t forget to also sign up for the RIO Journal’s newsletter via the Email alert form on the journal’s website and follow it on Twitter, Facebook, Linkedin and Mastodon.

BiCIKL Project supports article collection in Biodiversity Data Journal about use of linked data

Welcomed are taxonomic and other biodiversity-related research articles, which demonstrate the advantages and novel approaches in accessing and (re-)using linked biodiversity data

The EU-funded project BiCIKL (Biodiversity Community Integrated Knowledge Library) will support free of charge publications* submitted to the dedicated topical collection: “Linking FAIR biodiversity data through publications: The BiCIKL approach” in the Biodiversity Data Journal, demonstrating advanced publishing methods of linked biodiversity data, so that they can be easily harvested, distributed and re-used to generate new knowledge. 

BiCIKL is dedicated to building a new community of key research infrastructures, researchers and citizen scientists by using linked FAIR biodiversity data at all stages of the research lifecycle, from specimens through sequencing, imaging, identification of taxa, etc. to final publication in novel, re-usable, human-readable and machine-interpretable scholarly articles.

Achieving a culture change in how biodiversity data are being identified, linked, integrated and re-used is the mission of the BiCIKL consortium. By doing so, BiCIKL is to help increase the transparency, trustworthiness and efficiency of the entire research ecosystem.

The new article collection welcomes taxonomic and other biodiversity-related research articles, data papers, software descriptions, and methodological/theoretical papers. These should demonstrate the advantages and novel approaches in accessing and (re-)using linked biodiversity data.

To be eligible for the collection, a manuscript must comply with at least two of the conditions listed below. In the submission form, the author needs to specify the condition(s) applicable to the manuscript. The author should provide the explanation in a cover letter, using the Notes to the editor field.

All submissions must abide by the community-agreed standards for terms, ontologies and vocabularies used in biodiversity informatics. 

The data used in the articles must comply with the Data Quality Checklist and Fair Data Checklist available in the Authors’ instructions of the journal.

Conditions for publication in the article collection:

  • The authors are expected to use explicit Globally Unique Persistent and Resolvable Identifiers (GUPRI) or other persistent identifiers (PIDs), where such are available, for the different types of data they use and/or cite in the manuscripts (specimens IDs, sequence accession numbers, taxon name and taxon treatment IDs, image IDs, etc.)

  • Global taxon reviews in the form of “cyber-catalogues” are welcome if they contain links of the key data elements (specimens, sequences, taxon treatments, images, literature references, etc.) to their respective records in external repositories. Taxon names in the text should not be hyperlinked. Instead, under each taxon name in the catalogue, the authors should add external links to, for example, Catalogue of Life, nomenclators (e.g. IPNI, MycoBank, Index Fungorum, ZooBank), taxon treatments in Plazi’s TreatmentBank or other relevant trusted resources.

  • Taxonomic papers (e.g. descriptions of new species or revisions) must contain persistent identifiers for the holotype, paratypes and at least most of the specimens used in the study.

  • Specimen records that are used for new taxon descriptions or taxonomic revisions and are associated with a particular Barcode Identification Number (BIN) or Species Hypothesis (SH) should be imported directly from BOLD or PlutoF, respectively, via the ARPHA Writing Tool data-import plugin.

  • More generally, individual specimen records used for various purposes in taxonomic descriptions and inventories should be imported directly into the manuscript from GBIF, iDigBio, or BOLD via the ARPHA Writing Tool data-import plugin. 

  • In-text citations of taxon treatments from Plazi’s TreatmentBank are highly welcome in any taxonomic revision or catalogue. The in-text citations should be hyperlinked to the original treatment data at TreatmentBank.

  • Hyperlinking other terms of importance in the article text to their original external data sources or external vocabularies is encouraged.

  • Tables that list gene accession numbers, specimens and taxon names, should conform to the Biodiversity Data Journal’s linked data tables guidelines.

  • Theoretical or methodological papers on linking FAIR biodiversity data are eligible for the BiCIKL collection if they provide real examples and use cases.

  • Data papers or software descriptions are eligible if they use linked data from the BiCIKL’s partnering research infrastructures, or describe tools and services that facilitate access to and linking between FAIR biodiversity data.

  • Articles that contain nanopublications created or added during the authoring process in Biodiversity Data Journal. A nanopublication is a scientifically meaningful assertion about anything that can be uniquely identified and attributed to its author and serve to communicate a single statement, for example biotic relationship between taxa, or habitat preference of a taxon. The in-built workflow ensures the linkage and its persistence, while the information is simultaneously human-readable and machine-interpretable.
  • Manuscripts that contain or describe any other novel idea or feature related to linked or semantically enhanced biodiversity data will be considered too.

We recommend authors to get acquainted with these two papers before they decide to submit a manuscript to the collection: 

Here are several examples of research questions that might be explored using semantically enriched and linked biodiversity data: 

(1) How does linking taxon names or Operational Taxonomic Units (OTUs) to related external data (e.g. specimen records, sequences, distributions, ecological & bionomic traits, images) contribute to a better understanding of the functions and regional/local processes within faunas/floras/mycotas or biotic communities?

(2) How could the production and publication of taxon descriptions and inventories – including those based mostly on genomic and barcoding data – be streamlined? 

(3) How could general conclusions, assertions and citations in biodiversity articles be expressed in formal, machine-actionable language, either to update prior work or express new facts (e.g. via nanopublications)? 

(4) How could research data and narratives be re-used to support more extensive and data-rich studies? 

(5) Are there other taxon- or topic-specific research questions that would benefit from richer, semantically enhanced FAIR biodiversity data?

All manuscripts submitted to the Biodiversity Data Journal have their data audited by data scientists prior to the peer review stage.

Once published, specimen records data are being exported in Darwin Core Archive to GBIF.

The data and taxon treatments are also exported to several additional data aggregators, such as TreatmentBank, the Biodiversity Literature Repository, and SiBILS amongst others. The full-text articles are also converted to Linked Open Data indexed in the OpenBiodiv Knowledge Graph.

All articles will need to acknowledge the BiCIKL project, Grant No 101007492 in the Acknowledgements section.

* The publication fee (APC) is waived for standard-sized manuscripts (up to 40,000 characters, including spaces) normally charged by BDJ at € 650. Authors of larger manuscripts will need to cover the surplus charge (€10 for each 1,000 characters above 40,000). See more about the APC policy at Biodiversity Data Journal, or contact the journal editorial team at: bdj@pensoft.net.

Follow the BiCIKL Project on Twitter and Facebook. Join the conservation on via #BiCIKL_H2020.

You can also follow Biodiversity Data Journal on Twitter and Facebook.

Interoperable biodiversity data extracted from literature through open-ended queries

OpenBiodiv is a biodiversity database containing knowledge extracted from scientific literature, built as an Open Biodiversity Knowledge Management System. 

The OpenBiodiv contribution to BiCIKL

Apart from coordinating the Horizon 2020-funded project BiCIKL, scholarly publisher and technology provider Pensoft has been the engine behind what is likely to be the first production-stage semantic system to run on top of a reasonably-sized biodiversity knowledge graph.

OpenBiodiv is a biodiversity database containing knowledge extracted from scientific literature, built as an Open Biodiversity Knowledge Management System. 

As of February 2023, OpenBiodiv contains 36,308 processed articles; 69,596 taxon treatments; 1,131 institutions; 460,475 taxon names; 87,876 sequences; 247,023 bibliographic references; 341,594 author names; and 2,770,357 article sections and subsections.

In fact, OpenBiodiv is a whole ecosystem comprising tools and services that enable biodiversity data to be extracted from the text of biodiversity articles published in data-minable XML format, as in the journals published by Pensoft (e.g. ZooKeys, PhytoKeys, MycoKeys, Biodiversity Data Journal), and other taxonomic treatments – available from Plazi and Plazi’s specialised extraction workflow – into Linked Open Data.

“I believe that OpenBiodiv is a good real-life example of how the outputs and efforts of a research project may and should outlive the duration of the project itself. Something that is – of course – central to our mission at BiCIKL.”

explains Prof Lyubomir Penev, BiCIKL’s Project Coordinator and founder and CEO of Pensoft.

“The basics of what was to become the OpenBiodiv database began to come together back in 2015 within the EU-funded BIG4 PhD project of Victor Senderov, later succeeded by another PhD project by Mariya Dimitrova within IGNITE. It was during those two projects that the backend Ontology-O, the first versions of RDF converters and the basic website functionalities were created,”

he adds.

At the time OpenBiodiv became one of the nine research infrastructures within BiCIKL tasked with the provision of virtual access to open FAIR data, tools and services, it had already evolved into a RDF-based biodiversity knowledge graph, equipped with a fully automated extraction and indexing workflow and user apps.

Currently, Pensoft is working at full speed on new user apps in OpenBiodiv, as the team is continuously bringing into play invaluable feedback and recommendation from end-users and partners at BiCIKL. 

As a result, OpenBiodiv is already capable of answering open-ended queries based on the available data. To do this, OpenBiodiv discovers ‘hidden’ links between data classes, i.e. taxon names, taxon treatments, specimens, sequences, persons/authors and collections/institutions. 

Thus, the system generates new knowledge about taxa, scientific articles and their subsections, the examined materials and their metadata, localities and sequences, amongst others. Additionally, it is able to return information with a relevant visual representation about any one or a combination of those major data classes within a certain scope and semantic context.

Users can explore the database by either typing in any term (even if misspelt!) in the search engine available from the OpenBiodiv homepage; or integrating an Application Programming Interface (API); as well as by using SPARQL queries.

On the OpenBiodiv website, there is also a list of predefined SPARQL queries, which is continuously being expanded.

Sample of predefined SPARQL queries at OpenBiodiv.

“OpenBiodiv is an ambitious project of ours, and it’s surely one close to Pensoft’s heart, given our decades-long dedication to biodiversity science and knowledge sharing. Our previous fruitful partnerships with Plazi, BIG4 and IGNITE, as well as the current exciting and inspirational network of BiCIKL are wonderful examples of how far we can go with the right collaborators,”

concludes Prof Lyubomir Penev.

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Follow BiCIKL on Twitter and Facebook. Join the conversation on Twitter at #BiCIKL_H2020.

You can also follow Pensoft on Twitter, Facebook and Linkedin and use #OpenBiodiv on Twitter.

One Biodiversity Knowledge Hub to link them all: BiCIKL 2nd General Assembly

The FAIR Data Place – the key and final product of the partnership – is meant to provide scientists with all types of biodiversity data “at their fingertips”

The Horizon 2020 – funded project BiCIKL has reached its halfway stage and the partners gathered in Plovdiv (Bulgaria) from the 22nd to the 25th of October for the Second General Assembly, organised by Pensoft. 

The BiCIKL project will launch a new European community of key research infrastructures, researchers, citizen scientists and other stakeholders in the biodiversity and life sciences based on open science practices through access to data, tools and services.

BiCIKL’s goal is to create a centralised place to connect all key biodiversity data by interlinking 15 research infrastructures and their databases. The 3-year European Commission-supported initiative kicked off in 2021 and involves 14 key natural history institutions from 10 European countries.

BiCIKL is keeping pace as expected with 16 out of the 48 final deliverables already submitted, another 9 currently in progress/under review and due in a few days. Meanwhile, 21 out of the 48 milestones have been successfully achieved.

Prof. Lyubomir Penev (BiCIKL’s project coordinator Prof. Lyubomir Penev and CEO and founder of Pensoft) opens the 2nd General Assembly of BiCIKL in Plovdiv, Bulgaria.

The hybrid format of the meeting enabled a wider range of participants, which resulted in robust discussions on the next steps of the project, such as the implementation of additional technical features of the FAIR Data Place (FAIR being an abbreviation for Findable, Accessible, Interoperable and Reusable).

This FAIR Data Place online platform – the key and final product of the partnership and the BiCIKL initiative – is meant to provide scientists with all types of biodiversity data “at their fingertips”.

This data includes biodiversity information, such as detailed images, DNA, physiology and past studies concerning a specific species and its ‘relatives’, to name a few. Currently, the issue is that all those types of biodiversity data have so far been scattered across various databases, which in turn have been missing meaningful and efficient interconnectedness.

Additionally, the FAIR Data Place, developed within the BiCIKL project, is to give researchers access to plenty of training modules to guide them through the different services.

Halfway through the duration of BiCIKL, the project is at a turning point, where crucial discussions between the partners are playing a central role in the refinement of the FAIR Data Place design. Most importantly, they are tasked with ensuring that their technologies work efficiently with each other, in order to seamlessly exchange, update and share the biodiversity data every one of them is collecting and taking care of.

By Year 3 of the BiCIKL project, the partners agree, when those infrastructures and databases become efficiently interconnected to each other, scientists studying the Earth’s biodiversity across the world will be in a much better position to build on existing research and improve the way and the pace at which nature is being explored and understood. At the end of the day, knowledge is the stepping stone for the preservation of biodiversity and humankind itself.

“Needless to say, it’s an honour and a pleasure to be the coordinator of such an amazing team spanning as many as 14 partnering natural history and biodiversity research institutions from across Europe, but also involving many global long-year collaborators and their infrastructures, such as Wikidata, GBIF, TDWG, Catalogue of Life to name a few,”

said BiCIKL’s project coordinator Prof. Lyubomir Penev, CEO and founder of Pensoft.

“I see our meeting in Plovdiv as a practical demonstration of our eagerness and commitment to tackle the long-standing and technically complex challenge of breaking down the silos in the biodiversity data domain. It is time to start building freeways between all biodiversity data, across (digital) space, time and data types. After the last three days that we spent together in inspirational and productive discussions, I am as confident as ever that we are close to providing scientists with much more straightforward routes to not only generate more biodiversity data, but also build on the already existing knowledge to form new hypotheses and information ready to use by decision- and policy-makers. One cannot stress enough how important the role of biodiversity data is in preserving life on Earth. These data are indeed the groundwork for all that we know about the natural world”  

Prof. Lyubomir Penev added.
Christos Arvanitidis (CEO of LifeWatch ERIC) at the 2nd General Assembly of the BiCIKL project.

Christos Arvanitidis, CEO of LifeWatch ERIC, added:

“The point is: do we want an integrated structure or do we prefer federated structures? What are the pros and cons of the two options? It’s essential to keep the community united and allied because we can’t afford any information loss and the stakeholders should feel at home with the Project and the Biodiversity Knowledge Hub.”

Joe Miller, Executive Secretary and Director at GBIF, commented:

“We are a brand new community, and we are in the middle of the growth process. We would like to already have answers, but it’s good to have this kind of robust discussion to build on a good basis. We must find the best solution to have linkages between infrastructures and be able to maintain them in the future because the Biodiversity Knowledge Hub is the location to gather the community around best practices, data and guidelines on how to use the BiCIKL services… In order to engage even more partners to fill the eventual gaps in our knowledge.”

Joana Pauperio (biodiversity curator at EMBL-EBI) at the 2nd General Assembly of the BiCIKL project.

“BiCIKL is leading data infrastructure communities through some exciting and important developments”  

said Dr Guy Cochrane, Team Leader for Data Coordination and Archiving and Head of the European Nucleotide Archive at EMBL’s European Bioinformatics Institute (EMBL-EBI).

“In an era of biodiversity change and loss, leveraging scientific data fully will allow the world to catalogue what we have now, to track and understand how things are changing and to build the tools that we will use to conserve or remediate. The challenge is that the data come from many streams – molecular biology, taxonomy, natural history collections, biodiversity observation – that need to be connected and intersected to allow scientists and others to ask real questions about the data. In its first year, BiCIKL has made some key advances to rise to this challenge,”

he added.

Deborah Paul, Chair of the Biodiversity Information Standards – TDWG said:

“As a partner, we, at the Biodiversity Information Standards – TDWG, are very enthusiastic that our standards are implemented in BiCIKL and serve to link biodiversity data. We know that joining forces and working together is crucial to building efficient infrastructures and sharing knowledge.”

The project will go on with the first Round Table of experts in December and the publications of the projects who participated in the Open Call and will be founded at the beginning of the next year.

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Learn more about BiCIKL on the project’s website at: bicikl-project.eu

Follow BiCIKL Project on Twitter and Facebook. Join the conversation on Twitter at #BiCIKL_H2020.

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All BiCIKL project partners:

#TDWG2022 recap: TDWG and Pensoft welcomed 400 biodiversity information experts from 41 countries in Sofia

For the 37th time, experts from across the world to share and discuss the latest developments surrounding biodiversity data and how they are being gathered, used, shared and integrated across time, space and disciplines.

Between 17th and 21st October, about 400 scientists and experts took part in a hybrid meeting dedicated to the development, use and maintenance of biodiversity data, technologies, and standards across the world.

This year, the conference was hosted by Pensoft in collaboration with the National Museum of Natural History (Bulgaria) and the Institute of Biodiversity and Ecosystem Research at the Bulgarian Academy of Science. It ran under the theme “Stronger Together: Standards for linking biodiversity data”.

For the 37th time, the global scientific and educational association Biodiversity Information Standards (TDWG) brought together experts from all over the globe to share and discuss the latest developments surrounding biodiversity data and how they are being gathered, used, shared and integrated across time, space and disciplines.

This was the first time the event happened in a hybrid format. It was attended by 160 people on-site, while another 235 people joined online. 

The TDWG 2022 conference saw plenty of networking and engaging discussions with as many as 160 on-site attendees and another 235 people, who joined the event remotely.

The conference abstracts, submitted by the event’s speakers ahead of the meeting, provide a sneak peek into their presentations and are all publicly available in the TDWG journal Biodiversity Information Science and Standards (BISS).

“It’s wonderful to be in the Balkans and Bulgaria for our Biodiversity Information and Standards (TDWG) 2022 conference! Everyone’s been so welcoming and thoughtfully engaged in conversations about biodiversity information and how we can all collaborate, contribute and benefit,”

said Deborah Paul, Chair of TDWG, a biodiversity informatics specialist and community liaison at the University of Illinois, Prairie Research Institute‘s Illinois Natural History Survey and also an active participant in the Society for the Preservation of Natural History Collections (SPNHC), the Entomological Collections Network (ECN), ICEDIG, the Research Data Alliance (RDA), and The Carpentries.

“Our TDWG mission is to create, maintain and promote the use of open, community-driven standards to enable sharing and use of biodiversity data for all,”

she added.
Prof Lyubomir Penev (Pensoft) and Deborah Paul (TDWG) at TDWG 2022.

“We are proud to have been selected to be the hosts of this year’s TDWG annual conference and are definitely happy to have joined and observed so many active experts network and share their know-how and future plans with each other, so that they can collaborate and make further progress in the way scientists and informaticians work with biodiversity information,”  

said Pensoft’s founder and CEO Prof. Lyubomir Penev.

“As a publisher of multiple globally renowned scientific journals and books in the field of biodiversity and ecology, at Pensoft we assume it to be our responsibility to be amongst the first to implement those standards and good practices, and serve as an example in the scholarly publishing world. Let me remind you that it is the scientific publications that present the most reliable knowledge the world and science has, due to the scrutiny and rigour in the review process they undergo before seeing the light of day,”

he added.

***

In a nutshell, the main task and dedication of the TDWG association is to develop and maintain standards and data-sharing protocols that support the infrastructures (e.g., The Global Biodiversity Information Facility – GBIF), which aggregate and facilitate use of these data, in order to inform and expand humanity’s knowledge about life on Earth.

It is the goal of everyone at TDWG to let scientists interested in the world’s biodiversity to do their work efficiently and in a manner that can be understood, shared and reused.

It is the goal of everyone volunteering their time and expertise to TDWG to enable the scientists interested in the world’s biodiversity to do their work efficiently and in a manner that can be understood, shared and reused by others. After all, biodiversity data underlie everything we know about the natural world.

If there are optimised and universal standards in the way researchers store and disseminate biodiversity data, all those biodiversity scientists will be able to find, access and use the knowledge in their own work much more easily. As a result, they will be much better positioned to contribute new knowledge that will later be used in nature and ecosystem conservation by key decision-makers.

On Monday, the event opened with welcoming speeches by Deborah Paul and Prof. Lyubomir Penev in their roles of the Chair of TDWG and the main host of this year’s conference, respectively.

The opening ceremony continued with a keynote speech by Prof. Pavel Stoev, Director of the Natural History Museum of Sofia and co-host of TDWG 2022. 

Prof. Pavel Stoev (Natural History Museum of Sofia) with a presentation about the known and unknown biodiversity of Bulgaria during the opening plenary session of TDWG 2022.

He walked the participants through the fascinating biodiversity of Bulgaria, but also the worrying trends in the country associated with declining taxonomic expertise. 

He finished his talk with a beam of hope by sharing about the recently established national unit of DiSSCo, whose aim – even if a tad too optimistic – is to digitise one million natural history items in four years, of which 250,000 with photographs. So far, one year into the project, the Bulgarian team has managed to digitise more than 32,000 specimens and provide images to 10,000 specimens.

The plenary session concluded with a keynote presentation by renowned ichthyologist and biodiversity data manager Dr. Richard L. Pyle, who is also a manager of ZooBank – the key international database for newly described species.

Keynote presentation by Dr Richard L. Pyle (Bishop Museum, USA) at the opening plenary session of TDWG 2022.

In his talk, he highlighted the gaps in the ways taxonomy is being used, thereby impeding biodiversity research and cutting off a lot of opportunities for timely scientific progress.

“There are simple things we can do to change how we use taxonomy as a tool that would dramatically improve our ability to conduct science and understand biodiversity. There is enormous value and utility within existing databases around the world to understand biodiversity, how threatened it is, what impacts human activity has (especially climate change), and how to optimise the protection and preservation of biodiversity,”

he said in an interview for a joint interview by the Bulgarian News Agency and Pensoft.

“But we do not have easy access to much of this information because the different databases are not well integrated. Taxonomy offers us the best opportunity to connect this information together, to answer important questions about biodiversity that we have never been able to answer before. The reason meetings like this are so important is that they bring people together to discuss ways of using modern informatics to greatly increase the power of the data we already have, and prioritise how we fill the gaps in data that exist. Taxonomy, and especially taxonomic data integration, is a very important part of the solution.”

Pyle also commented on the work in progress at ZooBank ten years into the platform’s existence and its role in the next (fifth) edition of the International Code of Zoological Nomenclature, which is currently being developed by the International Commission of Zoological Nomenclature (ICZN). 

“We already know that ZooBank will play a more important role in the next edition of the Code than it has for these past ten years, so this is exactly the right time to be planning new services for ZooBank. Improvements at ZooBank will include things like better user-interfaces on the web to make it easier and faster to use ZooBank, better data services to make it easier for publishers to add content to ZooBank as part of their publication workflow, additional information about nomenclature and taxonomy that will both support the next edition of the Code, and also help taxonomists get their jobs done more efficiently and effectively. Conferences like the TDWG one are critical for helping to define what the next version of ZooBank will look like, and what it will do.”

***

During the week, the conference participants had the opportunity to enjoy a total of 140 presentations; as well as multiple social activities, including a field trip to Rila Monastery and a traditional Bulgarian dinner.

TDWG 2022 conference participants document their species observations on their way to Rila Monastery.

While going about the conference venue and field trip localities, the attendees were also actively uploading their species observations made during their stay in Bulgaria on iNaturalist in a TDWG2022-dedicated BioBlitz. The challenge concluded with a total of 635 observations and 228 successfully identified species.

Amongst the social activities going on during TDWG 2022 was a BioBlitz, where the conference participants could uploade their observations made in Bulgaria on iNaturalist and help each other successfully identify the specimens.

***

In his interview for the Bulgarian News Agency and Pensoft, Dr Vincent Smith, Head of the Informatics Division at the Natural History Museum, London (United Kingdom), co-founder of DiSSCo, the Distributed System of Scientific Collections, and the Editor-in-Chief of Biodiversity Data Journal, commented: 

“Biodiversity provides the support systems for all life on Earth. Yet the natural world is in peril, and we face biodiversity and climate emergencies. The consequences of these include accelerating extinction, increased risk from zoonotic disease, degradation of natural capital, loss of sustainable livelihoods in many of the poorest yet most biodiverse countries of the world, challenges with food security, water scarcity and natural disasters, and the associated challenges of mass migration and social conflicts.

Solutions to these problems can be found in the data associated with natural science collections. DiSSCo is a partnership of the institutions that digitise their collections to harness their potential. By bringing them together in a distributed, interoperable research infrastructure, we are making them physically and digitally open, accessible, and usable for all forms of research and innovation. 

At present rates, digitising all of the UK collection – which holds more than 130 million specimens collected from across the globe and is being taken care of by over 90 institutions – is likely to take many decades, but new technologies like machine learning and computer vision are dramatically reducing the time it will take, and we are presently exploring how robotics can be applied to accelerate our work.”

Dr Vincent Smith, Head of the Informatics Division at the Natural History Museum, London, co-founder of DiSSCo, and Editor-in-Chief of Biodiversity Data Journal at the TDWG 2022 conference.

In his turn, Dr Donat Agosti, CEO and Managing director at Plazi – a not-for-profit organisation supporting and promoting the development of persistent and openly accessible digital taxonomic literature – said:

“All the data about biodiversity is in our libraries, that include over 500 million pages, and everyday new publications are being added. No person can read all this, but machines allow us to mine this huge, very rich source of data. We do not know how many species we know, because we cannot analyse with all the scientists in this library, nor can we follow new publications. Thus, we do not have the best possible information to explore and protect our biological environment.”

Dr Donat Agosti demonstrating the importance of publishing biodiversity data in a structured and semantically enhanced format in one of his presentations at TDWG 2022.

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At the closing plenary session, Gail Kampmeier – TDWG Executive member and one of the first zoologists to join TDWG in 1996 – joined via Zoom to walk the conference attendees through the 37-year history of the association, originally named the Taxonomic Databases Working Group, but later transformed to Biodiversity Information Standards, as it expanded its activities to the whole range of biodiversity data. 

“While this presentation is about TDWG’s history as an organisation, its focus will be on the heart of TDWG: its people. We would like to show how the organisation has evolved in terms of gender balance, inclusivity actions, and our engagement to promote and enhance diversity at all levels. But more importantly, where do we—as a community—want to go in the future?”,

reads the conference abstract of her colleague at TDWG Dr Visotheary Ung (CNRS-MNHN) and herself.

Then, in the final talk of the session, Deborah Paul took to the stage to present the progress and key achievements by the association from 2022.

She gave a special shout-out to the TDWG journal: Biodiversity Information Science and Standards (BISS), where for the 6th consecutive year, the participants of the annual conference submitted and published their conference abstracts ahead of the event. 

Deborah Paul reminds that – apart from the conference abstracts – the TDWG journal: Biodiversity Information Science and Standards (BISS) also welcomes full-lenght articles that demonstrate the development or application of new methods and approaches in biodiversity informatics.

Launched in 2017 on the Pensoft’s publishing platform ARPHA, the journal provides the quite unique and innovative opportunity to have both abstracts and full-length research papers published in a modern, technologically-advanced scholarly journal. In her speech, Deborah Paul reminded that BISS journal welcomes research articles that demonstrate the development or application of new methods and approaches in biodiversity informatics in the form of case studies.

Amongst the achievements of TDWG and its community, a special place was reserved for the Horizon 2020-funded BiCIKL project (abbreviation for Biodiversity Community Integrated Knowledge Library), involving many of the association’s members. 

Having started in 2021, the 3-year project, coordinated by Pensoft, brings together 14 partnering institutions from 10 countries, and 15 biodiversity under the common goal to create a centralised place to connect all key biodiversity data by interlinking a total of 15 research infrastructures and their databases.

Deborah Paul also reported on the progress of the Horizon 2020-funded project BiCIKL, which involves many of the TDWG members. BiCIKL’s goal is to create a centralised place to connect all key biodiversity data by interlinking 15 key research infrastructures and their databases.

In fact, following the week-long TDWG 2022 conference in Sofia, a good many of the participants set off straight for another Bulgarian city and another event hosted by Pensoft. The Second General Assembly of BiCIKL took place between 22nd and 24th October in Plovdiv.

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You can also explore highlights and live tweets from TDWG 2022 on Twitter via #TDWG2022.
The Pensoft team at TDWG 2022 were happy to become the hosts of the 37th TDWG conference.

‘Who is in your database and why does it matter?’

The uncertainty about a person’s identity hampers research, hinders the discovery of expertise, and obstructs the ability to give attribution or credit for work performed. 

Collection discovery through disambiguation

Guest blog post by Sabine von Mering, Heather Rogers, Siobhan Leachman, David P. Shorthouse, Deborah Paul & Quentin Groom

Worldwide, natural history institutions house billions of physical objects in their collections, they create and maintain data about these items, and they share their data with aggregators such as the Global Biodiversity Information Facility (GBIF), the Integrated Digitized Biocollections (iDigBio), the Atlas of Living Australia (ALA), Genbank and the European Nucleotide Archive (ENA). 

Even though these data often include the names of the people who collected or identified each object, such statements may be ambiguous, as the names frequently lack any globally unique, machine-readable concept of their shared identity.

Despite the data being available online, barriers exist to effectively use the information about who collects or provides the expertise to identify the collection objects. People have similar names, change their name over the course of their lifetime (e.g. through marriage), or there may be variability introduced through the label transcription process itself (e.g. local look-up lists). 

As a result, researchers and collections staff often spend a lot of time deducing who is the person or people behind unknown collector strings while collating or tidying natural history data. The uncertainty about a person’s identity hampers research, hinders the discovery of expertise, and obstructs the ability to give attribution or credit for work performed. 

Disambiguation activities: the act of churning strings into verifiable things using all available evidence – need not be done in isolation. In addition to presenting a workflow on how to disambiguate people in collections, we also make the case that working in collaboration with colleagues and the general public presents new opportunities and introduces new efficiencies. There is tacit knowledge everywhere.

More often than not, data about people involved in biodiversity research are scattered across different digital platforms. However, with linking information sources to each other by using person identifiers, we can better trace the connections in these networks, so that we can weave a more interoperable narrative about every actor.

That said, inconsistent naming conventions or lack of adequate accreditation often frustrate the realization of this vision. This sliver of natural history could be churned to gold with modest improvements in long-term funding for human resources, adjustments to digital infrastructure, space for the physical objects themselves alongside their associated documents, and sufficient training on how to disambiguate people’s names.

“He aha te mea nui o te ao. He tāngata, he tāngata, he tāngata.”

“What is the most important thing in the world? It is people, it is people, it is people.”

(Māori proverb)

The process of properly disambiguating those who have contributed to natural history collections takes time. 

The disambiguation process involves the extra challenge of trying to deduce “who is who” for legacy data, compared to undertaking this activity for people alive today. Retrospective disambiguation can require considerable detective work, especially for scarcely known people or if the community has a different naming convention. Provided the results of this effort are well-communicated and openly shared, mercifully, it need only be done once.

At the core of our research is the question of how to solve the issue of assigning proper credit. 

In our recent Methods paper, we discuss several methods for this, as well as available routes for making records available online that include not only the names of people expressed as text, but additionally twinned with their unique, resolvable identifiers. 

Disambiguation is a cycle. Enrichment of the data feeds off itself leading to further disambiguation. As more names are disambiguated and more biographical data are accumulated, it becomes easier to disambiguate more names. 

First and foremost, we should maintain our own public biographical data by making full use of ORCID. In addition to preserving our own scientific legacy and that of the institutions that employ us, we have a responsibility to avoid generating unnecessary disambiguation work for others. 

For legacy data, where the people connected to the collections are deceased, Wikidata can be used to openly document rich bibliographic and demographic data, each statement with one or more verifiable references. Wikidata can also act as a bridge to link other sources of authority such as VIAF or ORCID identifiers. It has many tools and services to bulk import, export, and to query information, making it well-suited as a universal democratiser of information about people often walled-off in collection management systems (CMS). 

A network of the top twenty most used identifiers for biologists on Wikidata.

Once unique identifiers for people are integrated in collection management systems, these may be shared with the global collections and research community using the new Darwin Core terms, recordedByID or identifiedByID along with the well-known, yet text-based terms, recordedBy or identifiedBy. 

Approximately 120 datasets published through GBIF now make use of these identifier-based terms, which are additionally resolved in Bionomia every few weeks alongside co-curated attributions newly made there. This roundtrip of data – emerging as ambiguous strings of text from the source, affixed with resolvable identifiers elsewhere, absorbed into the source as new digital annotations, and then re-emerging with these fresh, identifier-based enhancements – is an exciting approach to co-manage collections data.

Round tripping. In Bionomia, people identifiers from Wikidata and ORCID are used to enrich data published via GBIF, thus linking natural history specimens to the world’s collectors.

Disambiguation work is particularly important in recognising contributors who have been historically marginalized. For example, gender bias in specimen data can be seen in the case of Wilmatte Porter Cockerell, a prolific collector of botanical, entomological and fossil specimens. Cockerell’s collections are often attributed to her husband as he was also a prolific collector and the two frequently collected together. 

On some labels, her identity is further obscured as she is simply recorded as “& wife” (see example on GBIF). Since Wilmatte Cockerell was her husband’s second wife, it can take some effort to confirm if a specimen can be attributed to her and not her husband’s first wife, who was also involved in collecting specimens. By ensuring that Cockerell is disambiguated and her contributions are appropriately attributed, the impact of her work becomes more visible enabling her work to be properly and fairly credited.

Thus, disambiguation work helps to not only give credit where credit is due, thereby making data about people and their biodiversity collections more findable, but it also creates an inclusive and representative narrative of the landscape of people involved with scientific knowledge creation, identification, and preservation. 

A future – once thought to be a dream – where the complete scientific output of a person is connected as Linked Open Data (LOD) is now. 

Both the tools and infrastructure are at our disposal and the demand is palpable. All institutions can contribute to this movement by sharing data that include unique identifiers for the people in their collections. We recommend that institutions develop a strategy, perhaps starting with employees and curatorial staff, people of local significance, or those who have been marginalized, and to additionally capitalize on existing disambiguation activities elsewhere. This will have local utility and will make a significant, long-term impact. 

The more we participate in these activities, the greater chance we will uncover positive feedback loops, which will act to lighten the workload for all involved, including our future selves!

The disambiguation of people in collections is an ongoing process, but it becomes easier with practice. We also encourage collections staff to consider modifying their existing workflows and policies to include identifiers for people at the outset, when new data are generated or when new specimens are acquired. 

There is more work required at the global level to define, update, and ratify standards and best practices to help accelerate data exchange or roundtrips of this information; there is room for all contributions. Thankfully, there is a diverse, welcoming, energetic, and international community involved in these activities. 

We see a bright future for you, our collections, and our research products – well within reach – when the identities of people play a pivotal role in the construction of a knowledge graph of life.

You would like to participate and need support getting disambiguation of your collection started? Please contact our TDWG People in Biodiversity Data Task Group.

A good start is also to check Bionomia to find out what metrics exist now for your institution or collection and affiliated people.

The next steps for collections: 7 objectives that can help to disambiguate your institutions’ collection:

1. Promote the use of person identifiers in local, national or international outreach, publishing and research activities

2. Increase the number of collection management systems that use person identifiers

3. Increase the number of living collectors registered and using an ORCID identifier when contributing to collections

4. Undertake disambiguation in the national languages of many countries

5. Increase the number of identified people on Wikidata linked to collections

6. Increase the number of people in collections with expertise in person disambiguation

7. Collaborate towards an exchange standard for attribution data

A real example of how a name string is disambiguated and the steps taken in documenting it. Wikidata item of Jean-André Soulié

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Methods publication:

Groom Q, Bräuchler C, Cubey RWN, Dillen M, Huybrechts P, Kearney N, Klazenga N, Leachman S, Paul DL, Rogers H, Santos J, Shorthouse DP, Vaughan A, von Mering S, Haston EM (2022) The disambiguation of people names in biological collections. Biodiversity Data Journal 10: e86089. https://doi.org/10.3897/BDJ.10.e86089

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Call for data papers describing datasets from Russia to be published in Biodiversity Data Journal

GBIF partners with FinBIF and Pensoft to support publication of new datasets about biodiversity from across Russia

Original post via GBIF

In collaboration with the Finnish Biodiversity Information Facility (FinBIF) and Pensoft Publishers, GBIF has announced a new call for authors to submit and publish data papers on Russia in a special collection of Biodiversity Data Journal (BDJ). The call extends and expands upon a successful effort in 2020 to mobilize data from European Russia.

Between now and 15 September 2021, the article processing fee (normally €550) will be waived for the first 36 papers, provided that the publications are accepted and meet the following criteria that the data paper describes a dataset:

The manuscript must be prepared in English and is submitted in accordance with BDJ’s instructions to authors by 15 September 2021. Late submissions will not be eligible for APC waivers.

Sponsorship is limited to the first 36 accepted submissions meeting these criteria on a first-come, first-served basis. The call for submissions can therefore close prior to the stated deadline of 15 September 2021. Authors may contribute to more than one manuscript, but artificial division of the logically uniform data and data stories, or “salami publishing”, is not allowed.

BDJ will publish a special issue including the selected papers by the end of 2021. The journal is indexed by Web of Science (Impact Factor 1.331), Scopus (CiteScore: 2.1) and listed in РИНЦ / eLibrary.ru.

For non-native speakers, please ensure that your English is checked either by native speakers or by professional English-language editors prior to submission. You may credit these individuals as a “Contributor” through the AWT interface. Contributors are not listed as co-authors but can help you improve your manuscripts.

In addition to the BDJ instruction to authors, it is required that datasets referenced from the data paper a) cite the dataset’s DOI, b) appear in the paper’s list of references, and c) has “Russia 2021” in Project Data: Title and “N-Eurasia-Russia2021“ in Project Data: Identifier in the dataset’s metadata.

Authors should explore the GBIF.org section on data papers and Strategies and guidelines for scholarly publishing of biodiversity data. Manuscripts and datasets will go through a standard peer-review process. When submitting a manuscript to BDJ, authors are requested to select the Biota of Russia collection.

To see an example, view this dataset on GBIF.org and the corresponding data paper published by BDJ.

Questions may be directed either to Dmitry Schigel, GBIF scientific officer, or Yasen Mutafchiev, managing editor of Biodiversity Data Journal.

The 2021 extension of the collection of data papers will be edited by Vladimir Blagoderov, Pedro Cardoso, Ivan Chadin, Nina Filippova, Alexander Sennikov, Alexey Seregin, and Dmitry Schigel.

This project is a continuation of the successful call for data papers from European Russia in 2020. The funded papers are available in the Biota of Russia special collection and the datasets are shown on the project page.

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Definition of terms

Datasets with more than 5,000 records that are new to GBIF.org

Datasets should contain at a minimum 5,000 new records that are new to GBIF.org. While the focus is on additional records for the region, records already published in GBIF may meet the criteria of ‘new’ if they are substantially improved, particularly through the addition of georeferenced locations.” Artificial reduction of records from otherwise uniform datasets to the necessary minimum (“salami publishing”) is discouraged and may result in rejection of the manuscript. New submissions describing updates of datasets, already presented in earlier published data papers will not be sponsored.

Justification for publishing datasets with fewer records (e.g. sampling-event datasets, sequence-based data, checklists with endemics etc.) will be considered on a case-by-case basis.

Datasets with high-quality data and metadata

Authors should start by publishing a dataset comprised of data and metadata that meets GBIF’s stated data quality requirement. This effort will involve work on an installation of the GBIF Integrated Publishing Toolkit.

Only when the dataset is prepared should authors then turn to working on the manuscript text. The extended metadata you enter in the IPT while describing your dataset can be converted into manuscript with a single-click of a button in the ARPHA Writing Tool (see also Creation and Publication of Data Papers from Ecological Metadata Language (EML) Metadata. Authors can then complete, edit and submit manuscripts to BDJ for review.

Datasets with geographic coverage in Russia

In correspondence with the funding priorities of this programme, at least 80% of the records in a dataset should have coordinates that fall within the priority area of Russia. However, authors of the paper may be affiliated with institutions anywhere in the world.

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Check out the Biota of Russia dynamic data paper collection so far.

Follow Biodiversity Data Journal on Twitter and Facebook to keep yourself posted about the new research published.

Pensoft Annotator – a tool for text annotation with ontologies

By Mariya Dimitrova, Georgi Zhelezov, Teodor Georgiev and Lyubomir Penev

The use of written language to record new knowledge is one of the advancements of civilisation that has helped us achieve progress. However, in the era of Big Data, the amount of published writing greatly exceeds the physical ability of humans to read and understand all written information. 

More than ever, we need computers to help us process and manage written knowledge. Unlike humans, computers are “naturally fluent” in many languages, such as the formats of the Semantic Web. These standards were developed by the World Wide Web Consortium (W3C) to enable computers to understand data published on the Internet. As a result, computers can index web content and gather data and metadata about web resources.

To help manage knowledge in different domains, humans have started to develop ontologies: shared conceptualisations of real-world objects, phenomena and abstract concepts, expressed in machine-readable formats. Such ontologies can provide computers with the necessary basic knowledge, or axioms, to help them understand the definitions and relations between resources on the Web. Ontologies outline data concepts, each with its own unique identifier, definition and human-legible label.

Matching data to its underlying ontological model is called ontology population and involves data handling and parsing that gives it additional context and semantics (meaning). Over the past couple of years, Pensoft has been working on an ontology population tool, the Pensoft Annotator, which matches free text to ontological terms.

The Pensoft Annotator is a web application, which allows annotation of text input by the user, with any of the available ontologies. Currently, they are the Environment Ontology (ENVO) and the Relation Ontology (RO), but we plan to upload many more. The Annotator can be run with multiple ontologies, and will return a table of matched ontological term identifiers, their labels, as well as the ontology from which they originate (Fig. 1). The results can also be downloaded as a Tab-Separated Value (TSV) file and certain records can be removed from the table of results, if desired. In addition, the Pensoft Annotator allows to exclude certain words (“stopwords”) from the free text matching algorithm. There is a list of default stopwords, common for the English language, such as prepositions and pronouns, but anyone can add new stopwords.

Figure 1. Interface of the Pensoft Annotator application

In Figure 1, we have annotated a sentence with the Pensoft Annotator, which yields a single matched term, labeled ‘host of’, from the Relation Ontology (RO). The ontology term identifier is linked to a webpage in Ontobee, which points to additional metadata about the ontology term (Fig. 2).

Figure 2. Web page about ontology term

Such annotation requests can be run to perform text analyses for topic modelling to discover texts which contain host-pathogen interactions. Topic modelling is used to build algorithms for content recommendation (recommender systems) which can be implemented in online news platforms, streaming services, shopping websites and others.

At Pensoft, we use the Pensoft Annotator to enrich biodiversity publications with semantics. We are currently annotating taxonomic treatments with a custom-made ontology based on the Relation Ontology (RO) to discover treatments potentially describing species interactions. You can read more about using the Annotator to detect biotic interactions in this abstract.

The Pensoft Annotator can also be used programmatically through an API, allowing you to integrate the Annotator into your own script. For more information about using the Pensoft Annotator, please check out the documentation.

Data checking for biodiversity collections and other biodiversity data compilers from Pensoft

Guest blog post by Dr Robert Mesibov

Proofreading the text of scientific papers isn’t hard, although it can be tedious. Are all the words spelled correctly? Is all the punctuation correct and in the right place? Is the writing clear and concise, with correct grammar? Are all the cited references listed in the References section, and vice-versa? Are the figure and table citations correct?

Proofreading of text is usually done first by the reviewers, and then finished by the editors and copy editors employed by scientific publishers. A similar kind of proofreading is also done with the small tables of data found in scientific papers, mainly by reviewers familiar with the management and analysis of the data concerned.

But what about proofreading the big volumes of data that are common in biodiversity informatics? Tables with tens or hundreds of thousands of rows and dozens of columns? Who does the proofreading?

Sadly, the answer is usually “No one”. Proofreading large amounts of data isn’t easy and requires special skills and digital tools. The people who compile biodiversity data often lack the skills, the software or the time to properly check what they’ve compiled.

The result is that a great deal of the data made available through biodiversity projects like GBIF is — to be charitable — “messy”. Biodiversity data often needs a lot of patient cleaning by end-users before it’s ready for analysis. To assist end-users, GBIF and other aggregators attach “flags” to each record in the database where an automated check has found a problem. These checks find the most obvious problems amongst the many possible data compilation errors. End-users often have much more work to do after the flags have been dealt with.

In 2017, Pensoft employed a data specialist to proofread the online datasets that are referenced in manuscripts submitted to Pensoft’s journals as data papers. The results of the data-checking are sent to the data paper’s authors, who then edit the datasets. This process has substantially improved many datasets (including those already made available through GBIF) and made them more suitable for digital re-use. At blog publication time, more than 200 datasets have been checked in this way.

Note that a Pensoft data audit does not check the accuracy of the data, for example, whether the authority for a species name is correct, or whether the latitude/longitude for a collecting locality agrees with the verbal description of that locality. For a more or less complete list of what does get checked, see the Data checklist at the bottom of this blog post. These checks are aimed at ensuring that datasets are correctly organised, consistently formatted and easy to move from one digital application to another. The next reader of a digital dataset is likely to be a computer program, not a human. It is essential that the data are structured and formatted, so that they are easily processed by that program and by other programs in the pipeline between the data compiler and the next human user of the data.

Pensoft’s data-checking workflow was previously offered only to authors of data paper manuscripts. It is now available to data compilers generally, with three levels of service:

  • Basic: the compiler gets a detailed report on what needs fixing
  • Standard: minor problems are fixed in the dataset and reported
  • Premium: all detected problems are fixed in collaboration with the data compiler and a report is provided

Because datasets vary so much in size and content, it is not possible to set a price in advance for basic, standard and premium data-checking. To get a quote for a dataset, send an email with a small sample of the data topublishing@pensoft.net.

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Data checklist

Minor problems:

  • dataset not UTF-8 encoded
  • blank or broken records
  • characters other than letters, numbers, punctuation and plain whitespace
  • more than one version (the simplest or most correct one) for each character
  • unnecessary whitespace
  • Windows carriage returns (retained if required)
  • encoding errors (e.g. “Dum?ril” instead of “Duméril”)
  • missing data with a variety of representations (blank, “-“, “NA”, “?” etc)

Major problems:

  • unintended shifts of data items between fields
  • incorrect or inconsistent formatting of data items (e.g. dates)
  • different representations of the same data item (pseudo-duplication)
  • for Darwin Core datasets, incorrect use of Darwin Core fields
  • data items that are invalid or inappropriate for a field
  • data items that should be split between fields
  • data items referring to unexplained entities (e.g. “habitat is type A”)
  • truncated data items
  • disagreements between fields within a record
  • missing, but expected, data items
  • incorrectly associated data items (e.g. two country codes for the same country)
  • duplicate records, or partial duplicate records where not needed

For details of the methods used, see the author’s online resources:

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Find more for Pensoft’s data audit workflow provided for data papers submitted to Pensoft journals on Pensoft’s blog.

FAIR biodiversity data in Pensoft journals thanks to a routine data auditing workflow