Tag: biodiversity data

Pensoft – GloBI workflow for FAIR data exchange and indexing of biotic interactions locked within scholarly articles

Pensoft – GloBI workflow for FAIR data exchange and indexing of biotic interactions locked within scholarly articles.

by Mariya Dimitrova, Jorrit Poelen, Georgi Zhelezov, Teodor Georgiev, Lyubomir Penev

**Fig. 1.** Pensoft-GloBI workflow for indexing biotic interactions from scholarly literature

Tables published in scholarly literature are a rich source of primary biodiversity data. They are often used for communicating species occurrence data, morphological characteristics of specimens, links of species or specimens to particular genes, ecology data and biotic interactions between species, etc. Tables provide a structured format for sharing numerous facts about biodiversity in a concise and clear way.

Together with the rest of the article narrative, Pensoft publishes all tables in the semi-structured eXtensible Markup Language (XML) format. Tables are semantically enhanced with annotated taxonomic names, coordinates, localities and other fields from the Darwin Core Standard.

Inspired by the potential use of semantically-enhanced tables for text and data mining, Pensoft and Global Biotic Interactions (GloBI) developed a workflow for extracting and indexing biotic interactions from tables published in scholarly literature. GloBI is an open infrastructure enabling the discovery and sharing of species interaction data. GloBI ingests and accumulates individual datasets containing biotic interactions and standardises them by mapping them to community-accepted ontologies, vocabularies and taxonomies. Data integrated by GloBI is accessible through an application programming interface (API) and as archives in different formats (e.g. n-quads). GloBI has indexed millions of species interactions from hundreds of existing datasets spanning over a hundred thousand taxa.

The workflow

First, all tables extracted from Pensoft publications and stored in the OpenBiodiv triple store were automatically retrieved (Step 1 in Fig. 1). There were 6993 tables from 21 different journals. To identify only the tables containing biotic interactions, we used an ontology annotator, currently developed by Pensoft using terms from the OBO Relation Ontology (RO). The Pensoft Annotator analyses free text and finds words and phrases matching ontology term labels.

We used the RO to create a custom ontology, or list of terms, describing different biotic interactions (e.g. ‘host of’, ‘parasite of’, ‘pollinates’) (Step 2 in Fig. 1).. We used all subproperties of the RO term labeled ‘biotically interacts with’ and expanded the list of terms with additional word spellings and variations (e.g. ‘hostof’, ‘host’) which were added to the custom ontology as synonyms of already existing terms using the property oboInOwl:hasExactSynonym.

This custom ontology was used to perform annotation of all tables via the Pensoft Annotator (Step 3 in Fig. 1). Tables were split into rows and columns and accompanying table metadata (captions). Each of these elements was then processed through the Pensoft Annotator and if a match from the custom ontology was found, the resulting annotation was written to a MongoDB database, together with the article metadata. The original table in XML format, containing marked-up taxa, was also stored in the records.

Thus, we detected 233 tables which contain biotic interactions, constituting about 3.4% of all examined tables. The scripts used for parsing the tables and annotating them, together with the custom ontology, are open source and available on GitHub. The database records were exported as json to a GitHub repository, from where they could be accessed by GloBI.

GloBI processed the tables further, involving the generation of a table citation from the article metadata and the extraction of interactions between species from the table rows (Step 4 in Fig. 1). Table citations were generated by querying the OpenBiodiv database with the DOI of the article containing each table to obtain the author list, article title, journal name and publication year. The extraction of table contents was not a straightforward process because tables do not follow a single schema and can contain both merged rows and columns (signified using the ‘rowspan’ and ‘colspan’ attributes in the XML). GloBI were able to index such tables by duplicating rows and columns where needed to be able to extract the biotic interactions within them. Taxonomic name markup allowed GloBI to identify the taxonomic names of species participating in the interactions. However, the underlying interaction could not be established for each table without introducing false positives due to the complicated table structures which do not specify the directionality of the interaction. Hence, for now, interactions are only of the type ‘biotically interacts with’ (Fig. 2) because it is a bi-directional one (e.g. ‘Species A interacts with Species B’ is equivalent to ‘Species B interacts with Species A’).

**Fig. 2.** Example of a biotic interaction indexed by GloBI.

Examples of species interactions provided by OpenBiodiv and indexed by GloBI are available on GloBI’s website.

In the future we plan to expand the capacity of the workflow to recognise interaction types in more detail. This could be implemented by applying part of speech tagging to establish the subject and object of an interaction.

In addition to being accessible via an API and as archives, biotic interactions indexed by GloBI are available as Linked Open Data and can be accessed via a SPARQL endpoint. Hence, we plan on creating a user-friendly service for federated querying of GloBI and OpenBiodiv biodiversity data.

This collaborative project is an example of the benefits of open and FAIR data, enabling the enhancement of biodiversity data through the integration between Pensoft and GloBI. Transformation of knowledge contained in existing scholarly works into giant, searchable knowledge graphs increases the visibility and attributed re-use of scientific publications.

Tables published in scholarly literature are a rich source of primary biodiversity data. They are often used for communicating species occurrence data, morphological characteristics of specimens, links of species or specimens to particular genes, ecology data and biotic interactions between species etc. Tables provide a structured format for sharing numerous facts about biodiversity in a concise and clear way.

The workflow

First, all tables extracted from Pensoft publications and stored in the OpenBiodiv triple store were automatically retrieved (Step 1 in Fig. 1). There were 6,993 tables from 21 different journals. To identify only the tables containing biotic interactions, we used an ontology annotator, currently developed by Pensoft using terms from the OBO Relation Ontology (RO). The Pensoft Annotator analyses free text and finds words and phrases matching ontology term labels.

We used the RO to create a custom ontology, or list of terms, describing different biotic interactions (e.g. ‘host of’, ‘parasite of’, ‘pollinates’) (Step 1 in Fig. 1). We used all subproperties of the RO term labeled ‘biotically interacts with’ and expanded the list of terms with additional word spellings and variations (e.g. ‘hostof’, ‘host’) which were added to the custom ontology as synonyms of already existing terms using the property oboInOwl:hasExactSynonym.

This custom ontology was used to perform annotation of all tables via the Pensoft Annotator (Step 3 in Fig. 1). Tables were split into rows and columns and accompanying table metadata (captions). Each of these elements was then processed through the Pensoft Annotator and if a match from the custom ontology was found, the resulting annotation was written to a MongoDB database, together with the article metadata. The original table in XML format, containing marked-up taxa, was also stored in the records.

Thus, we detected 233 tables which contain biotic interactions, constituting about 3.4% of all examined tables. The scripts used for parsing the tables and annotating them, together with the custom ontology, are open source and available on GitHub. The database records were exported as JSON to a GitHub repository, from where they could be accessed by GloBI.

GloBI processed the tables further, involving the generation of a table citation from the article metadata and the extraction of interactions between species from the table rows (Step 4 in Fig. 1). Table citations were generated by querying the OpenBiodiv database with the DOI of the article containing each table to obtain the author list, article title, journal name and publication year. The extraction of table contents was not a straightforward process because tables do not follow a single schema and can contain both merged rows and columns (signified using the ‘rowspan’ and ‘colspan’ attributes in the XML). GloBI were able to index such tables by duplicating rows and columns where needed to be able to extract the biotic interactions within them. Taxonomic name markup allowed GloBI to identify the taxonomic names of species participating in the interactions. However, the underlying interaction could not be established for each table without introducing false positives due to the complicated table structures which do not specify the directionality of the interaction. Hence, for now, interactions are only of the type ‘biotically interacts with’ because it is a bi-directional one (e.g. ‘Species A interacts with Species B’ is equivalent to ‘Species B interacts with Species A’).

In the future, we plan to expand the capacity of the workflow to recognise interaction types in more detail. This could be implemented by applying part of speech tagging to establish the subject and object of an interaction.

References

Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2014.08.005.

Additional Information

The work has been partially supported by the International Training Network (ITN) IGNITE funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 764840.

Special ZooKeys memorial volume open to submissions to commemorate our admirable founding Editor-in-Chief Terry Erwin

In recognition of the love and devotion that Terry expressed for the study of the World’s biodiversity, ZooKeys invites contributions to this memorial issue, covering all subjects falling within the area of systematic zoology. Titled “Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020)”.

In tribute to our beloved friend and founding Editor-in-Chief, Dr Terry Erwin, who passed away on 11^th May 2020, we are planning a special memorial volume to be published on 11 May 2021, the date Terry left us. Terry will be remembered by all who knew him for his radiant spirit, charming enthusiasm for carabid beetles and never-ceasing exploration of the world of biodiversity!

In recognition of the love and devotion that Terry expressed for study of the World’s biodiversity, ZooKeys invites contributions to this memorial issue, titled “Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020)”, to all subjects falling within the area of systematic zoology. Of special interest are papers recognising Terry’s dedication to collection based research, massive biodiversity surveys and origin of biodiversity hot spot areas. The Special will be edited by John Spence, Achille Casale, Thorsten Assmann, James Liebherr and Lyubomir Penev.

Article processing charges (APCs) will be waived for: (1) Contributions to systematic biology and diversity of carabid beetles, (2) Contributions from Terry’s students and (3) Contributions from his colleagues from the Smithsonian Institution. The APC for articles which do not fall in the above categories will be discounted at 30%.

The submission deadline is 31^st December 2020.

Contributors are also invited to send memories and photos which shall be published in a special addendum to the volume.

The memorial volume will also include a joint project of Plazi, Pensoft and the Biodiversity Literature Repository aimed at extracting of taxonomic data from Terry Erwin’s publications and making it easily accessible to the scientific community.

Novel research on African bats pilots new ways in sharing and linking published data

A colony of what is apparently a new species of the genus Hipposideros found in an abandoned gold mine in Western Kenya
Photo by B. D. Patterson / Field Museum

Newly published findings about the phylogenetics and systematics of some previously known, but also other yet to be identified species of Old World Leaf-nosed bats, provide the first contribution to a recently launched collection of research articles, whose task is to help scientists from across disciplines to better understand potential hosts and vectors of zoonotic diseases, such as the Coronavirus. Bats and pangolins are among the animals already identified to be particularly potent vehicles of life-threatening viruses, including the infamous SARS-CoV-2.

The article, publicly available in the peer-reviewed scholarly journal ZooKeys, also pilots a new generation of Linked Open Data (LOD) publishing practices, invented and implemented to facilitate ongoing scientific collaborations in times of urgency like those we experience today with the COVID-19 pandemic currently ravaging across over 230 countries around the globe.

In their study, an international team of scientists, led by Dr Bruce Patterson, Field Museum‘s MacArthur curator of mammals, point to the existence of numerous, yet to be described species of leaf-nosed bats inhabiting the biodiversity hotspots of East Africa and Southeast Asia. In order to expedite future discoveries about the identity, biology and ecology of those bats, they provide key insights into the genetics and relations within their higher groupings, as well as further information about their geographic distribution.

“Leaf-nosed bats carry coronaviruses–not the strain that’s affecting humans right now, but this is certainly not the last time a virus will be transmitted from a wild mammal to humans. If we have better knowledge of what these bats are, we’ll be better prepared if that happens,”
says Dr Terrence Demos, a post-doctoral researcher in Patterson’s lab and a principal author of the paper.

One of the possibly three new to science bat species, previously referred to as *Hipposideros caffer* or Sundevall’s leaf-nosed bat
Photo by B. D. Patterson / Field Museum

“With COVID-19, we have a virus that’s running amok in the human population. It originated in a horseshoe bat in China. There are 25 or 30 species of horseshoe bats in China, and no one can determine which one was involved. We owe it to ourselves to learn more about them and their relatives,”
comments Patterson.

In order to ensure that scientists from across disciplines, including biologists, but also virologists and epidemiologists, in addition to health and policy officials and decision-makers have the scientific data and evidence at hand, Patterson and his team supplemented their research publication with a particularly valuable appendix table. There, in a conveniently organized table format, everyone can access fundamental raw genetic data about each studied specimen, as well as its precise identification, origin and the natural history collection it is preserved. However, what makes those data particularly useful for researchers looking to make ground-breaking and potentially life-saving discoveries is that all that information is linked to other types of data stored at various databases and repositories contributed by scientists from anywhere in the world.

Furthermore, in this case, those linked and publicly available data or Linked Open Data (LOD) are published in specific code languages, so that they are “understandable” for computers. Thus, when a researcher seeks to access data associated with a particular specimen he/she finds in the table, he/she can immediately access additional data stored at external data repositories by means of a single algorithm. Alternatively, another researcher might want to retrieve all pathogens extracted from tissues from specimens of a specific animal species or from particular populations inhabiting a certain geographical range and so on.

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The data publication and dissemination approach piloted in this new study was elaborated by the science publisher and technology provider Pensoft and the digitisation company Plazi for the purposes of a special collection of research papers reporting on novel findings concerning the biology of bats and pangolins in the scholarly journal ZooKeys. By targeting the two most likely ‘culprits’ at the roots of the Coronavirus outbreak in 2020: bats and pangolins, the article collection aligns with the agenda of the COVID-19 Joint Task Force, a recent call for contributions made by the Consortium of European Taxonomic Facilities (CETAF), the Distributed System for Scientific Collections (DiSSCo) and the Integrated Digitized Biocollections (iDigBio).

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Original source:

Patterson BD, Webala PW, Lavery TH, Agwanda BR, Goodman SM, Kerbis Peterhans JC, Demos TC (2020) Evolutionary relationships and population genetics of the Afrotropical leaf-nosed bats (Chiroptera, Hipposideridae). ZooKeys 929: 117-161. https://doi.org/10.3897/zookeys.929.50240

Plazi and Pensoft join forces to let biodiversity knowledge of coronaviruses hosts out

Pensoft’s flagship journal ZooKeys invites free-to-publish research on key biological traits of SARS-like viruses potential hosts and vectors; Plazi harvests and brings together all relevant data from legacy literature to a reliable FAIR-data repository

To bridge the huge knowledge gaps in the understanding of how and which animal species successfully transmit life-threatening diseases to humans, thereby paving the way for global health emergencies, scholarly publisher Pensoft and literature digitisation provider Plazi join efforts, expertise and high-tech infrastructure.

By using the advanced text- and data-mining tools and semantic publishing workflows they have developed, the long-standing partners are to rapidly publish easy-to-access and reusable biodiversity research findings and data, related to hosts or vectors of the SARS-CoV-2 or other coronaviruses, in order to provide the stepping stones needed to manage and prevent similar crises in the future.

Already, there’s plenty of evidence pointing to certain animals, including pangolins, bats, snakes and civets, to be the hosts of viruses like SARS-CoV-2 (coronaviruses), hence, potential triggers of global health crises, such as the currently ravaging Coronavirus pandemic. However, scientific research on what biological and behavioural specifics of those species make them particularly successful vectors of zoonotic diseases is surprisingly scarce. Even worse, the little that science ‘knows’ today is often locked behind paywalls and copyright laws, or simply ‘trapped’ in formats inaccessible to text- and data-mining performed by search algorithms.

This is why Pensoft’s flagship zoological open-access, peer-reviewed scientific journal ZooKeys recently announced its upcoming, special issue, titled “Biology of pangolins and bats”, to invite research papers on relevant biological traits and behavioural features of bats and pangolins, which are or could be making them efficient vectors of zoonotic diseases. Another open-science innovation champion in the Pensoft’s portfolio, Research Ideas and Outcomes (RIO Journal) launched another free-to-publish collection of early and/or brief outcomes of research devoted to SARS-like viruses.

Due to the expedited peer review and publication processes at ZooKeys, the articles will rapidly be made public and accessible to scientists, decision-makers and other experts, who could then build on the findings and eventually come up with effective measures for the prevention and mitigation of future zoonotic epidemics. To further facilitate the availability of such critical research, ZooKeys is waiving the publication charges for accepted papers.

Meanwhile, the literature digitisation provider Plazi is deploying its text- and data-mining expertise and tools, to locate and acquire publications related to hosts of coronaviruses – such as those expected in the upcoming “Biology of pangolins and bats” special issue in ZooKeys – and deposit them in a newly formed Coronavirus-Host Community, a repository hosted on the Zenodo platform. There, all publications will be granted persistent open access and enhanced with taxonomy-specific data derived from their sources. Contributions to Plazi can be made at various levels: from sending suggestions of articles to be added to the Zotero bibliographic public libraries on virus-hosts associations and hosts’ taxonomy, to helping the conversion of those articles into findable, accessible, interoperable and reusable (FAIR) knowledge.

Pensoft’s and Plazi’s collaboration once again aligns with the efforts of the biodiversity community, after the natural science collections consortium DiSSCo (Distributed System of Scientific Collections) and the Consortium of European Taxonomic Facilities (CETAF), recently announced the COVID-19 Task Force with the aim to create a network of taxonomists, collection curators and other experts from around the globe.

Call for data papers from European Russia

Partners GBIF, FinBIF and Pensoft to support publication of data papers that describe datasets from Russia west of the Ural Mountains

Original post via GBIF

GBIF—the Global Biodiversity Information Facility—in collaboration with the Finnish Biodiversity Information Facility (FinBIF) and Pensoft Publishers, are happy to issue a call for authors to submit and publish data papers on European Russia (west of the Urals) in an upcoming special issue of Biodiversity Data Journal (BDJ).

Between now and 31 August 2020, the article processing fee (normally €450) will be waived for the first 20 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 31 August 2020. Late submissions will not be eligible for APC waivers.

Sponsorship is limited to the first 20 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 31 August. 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 2020. The journal is indexed by Web of Science (Impact Factor 1.029), Scopus (CiteScore: 1.24) 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 and b) appear in the paper’s list of references.

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.

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.

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.

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 European Russia west of the Ural mountains

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 European Russia west of the Ural mountains. However, authors of the paper may be affiliated with institutions anywhere in the world.

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Data audit at Pensoft’s biodiversity journals

Data papers submitted to Biodiversity Data Journal, as well as all relevant biodiversity-themed journals in Pensoft’s portfolio, undergo a mandatory data auditing workflow before being passed down to a subject editor.

Learn more about the workflow here:
https://www.eurekalert.org/pub_releases/2019-10/pp-aif101819.php.

Check out the case study below to see how the data audit workflow works in practice.

CASE STUDY: Data audit for the “Vascular plants dataset of the COFC herbarium (University of Cordoba, Spain)”, a data paper in PhytoKeys

Fifteen years & 20 million insects later: Sweden’s impressive effort to document its insect fauna in a changing world

The Swedish Malaise Trap Project (SMTP) was launched in 2003 with the aim of making a complete list of the insect diversity of Sweden. Over the past fifteen years, an estimated total of 20 million insects, collected during the project, have been processed for scientific study. Recently, the team behind this effort published the resulting inventory in the open-access journal Biodiversity Data Journal. In their paper, they also document the project all the way from its inception to its current status by reporting on its background, organisation, methodology and logistics.

The SMTP deployed a total of 73 Malaise traps – a Swedish invention designed to capture flying insects – and placed them across the country, where they remained from 2003 to 2006. Subsequently, the samples were sorted by a dedicated team of staff, students and volunteers into over 300 groups of insects ready for further study by expert entomologists. At the present time, this material can be considered as a unique timestamp of the Swedish insect fauna and an invaluable source of baseline data, which is especially relevant as reports of terrifying insect declines keep on making the headlines across the world.

The first author and Project Manager of the SMTP, Dave Karlsson started his academic paper on the project’s results years ago by compiling various tips, tricks, lessons and stories that he had accumulated over his years as SMTP’s Project Manager. Some fun examples include the time when one of the Malaise traps was destroyed by a moose bull rubbing his antlers against it, or when another trap was attacked and eaten by a group of 20 reindeer. The project even had a trap taken out by Sweden’s military! Karlsson’s intention was that, by sharing the details of the project, he would inspire and encourage similar efforts around the globe.

Animals were not as kind to our traps as humans,” recall the scientists behind the project. One of the Malaise traps, located in the Brännbergets Nature Reserve in Västerbotten, was destroyed by a bull moose rubbing his antlers against it.
Photo by Anna Wenngren

Karlsson has worked with and trained dozens of workers in the SMTP lab over the past decade and a half. Some were paid staff, some were enthusiastic volunteers and a good number were researchers and students using SMTP material for projects and theses. Thus, he witnessed first-hand how much excitement and enthusiasm the work on insect samples under a microscope can generate, even in those who had been hesitant about “bugs” at first.

Stressing the benefits of traditional morphological approaches to inventory work, he says: “Appreciation for nature is something you miss when you go ‘hi-tech’ with inventory work. We have created a unique resource for specialists in our sorted material while fostering a passion for natural history.”

Sorted SMTP material is now available to specialists. Hundreds of thousands of specimens have already been handed over to experts, resulting in over 1,300 species newly added to the Swedish fauna. A total of 87 species have been recognised as new to science from the project thus far, while hundreds more await description.

The SMTP is part of the Swedish Taxonomy Initiative, from where it also receives its funding. In its turn, the latter is a project by the Swedish Species Information Center, a ground-breaking initiative funded by the Swedish Parliament since 2002 with the aim of documenting all multicellular life in Sweden.

The SMTP is based at Station Linné, a field station named after the famous Swedish naturalist and father of taxonomy, Carl Linneaus. Situated on the Baltic island of Öland, the station is managed by Dave Karlsson. Co-authors Emily Hartop and Mathias Jaschhof are also based at the station, while Mattias Forshage and Fredrik Ronquist (SMTP Project Co-Founder) are based at the Swedish Museum of Natural History.

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Original source:

Karlsson D, Hartop E, Forshage M, Jaschhof M, Ronquist F (2020) The Swedish Malaise Trap Project: A 15 Year Retrospective on a Countrywide Insect Inventory. Biodiversity Data Journal 8: e47255. https://doi.org/10.3897/BDJ.8.e47255

On the edge between science & art: historical biodiversity data from Japanese “gyotaku”

Japanese cultural art of ‘gyotaku’, which means “fish impression” or “fish rubbing”, captures accurate images of fish specimens. It has been used by recreational fishermen and artists since the Edo Period. Distributional data from 261 ‘Gyotaku’ rubbings were extracted for 218 individual specimens, roughly representing regional fish fauna and common fishing targets in Japan through the years. The results of the research are presented in a paper published by Japanese scientists in open-access journal Zookeys.

Japanese cultural art of ‘gyotaku’, which means “fish impression” or “fish rubbing”, captures accurate images of fish specimens. It has been used by recreational fishermen and artists since the Edo Period. Distributional data from 261 ‘Gyotaku’ rubbings were extracted for 218 individual specimens, roughly representing regional fish fauna and common fishing targets in Japan through the years. The results of the research are presented in a paper published by Japanese scientists in open-access journal Zookeys.

Historical biodiversity data is being obtained from museum specimens, literature, classic monographs and old photographs, yet those sources can be damaged, lost or not completely adequate. That brings us to the need of finding additional, even if non-traditional, sources.

In Japan many recreational fishers have recorded their memorable catches as ‘gyotaku’ (魚拓), which means fish impression or fish rubbing in English. ‘Gyotaku’ is made directly from the fish specimen and usually includes information such as sampling date and locality, the name of the fisherman, its witnesses, the fish species (frequently its local name), and fishing tackle used. This art has existed since the last Edo period. Currently, the oldest ‘gyotaku’ material is the collection of the Tsuruoka City Library made in 1839.

Traditionally, ‘gyotaku’ is printed by using black writing ink, but over the last decades colour versions of ‘gyotaku’ have become better developed and they are now used for art and educational purposes. Though, the colour prints are made just for the means of art and rarely include specimen data, sampling locality and date.

In the sense of modern technological progress, it’s getting rarer and rarer that people are using ‘gyotaku’ to save their “fishing impressions”. The number of personally managed fishing-related shops is decreasing and the number of original ‘gyotaku’ prints and recreational fishermen might start to decrease not before long.

Smartphones and photo cameras are significantly reducing the amount of produced ‘gyotaku’, while the data from the old art pieces are in danger of either getting lost or diminished in private collections. That’s why the research on existing ‘gyotaku’ as a data source is required.

A Japanese research team, led by Mr. Yusuke Miyazaki, has conducted multiple surveys among recreational fishing shops in different regions of Japan in order to understand if ‘gyotaku’ information is available within all the territory of the country, including latitudinal limits (from subarctic to subtropical regions) and gather historical biodiversity data from it.

In total, 261 ‘gyotaku’ rubbings with 325 printed individual specimens were found among the targeted shops and these data were integrated to the ‘gyotaku’ database. Distributional data about a total of 235 individuals were obtained within the study.

The observed species compositions reflected the biogeography of the regions and can be representative enough to identify rare Red-listed species in particular areas. Some of the studied species are listed as endangered in national and prefectural Red Lists which prohibits the capture, holding, receiving and giving off, and other interactions with the species without the prefectural governor’s permission. Given the rarity of these threatened species in some regions, ‘gyotaku’ are probably important vouchers for estimating historical population status and factors of decline or extinction.

“Overall, the species composition displayed in the ‘gyotaku’ approximately reflected the fish faunas of each biogeographic region. We suggest that Japanese recreational fishers may be continuing to use the ‘gyotaku’ method in addition to digital photography to record their memorable catches” , concludes author of the research, Mr. Yusuke Miyazaki.

*Gyotaku rubbing from the fish store in Miyazaki Prefecture*
*Credit: Yusuke Miyazaki*
*License: CC-BY 4.0*

*Gyotaku rubbing of the specimen from Kanagawa found in the shop in Tokyo*
*Credit: Yusuke Miyazaki*
*License: CC-BY 4.0*

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Original source:

Miyazaki Y, Murase A (2019) Fish rubbings, ‘gyotaku’, as a source of historical biodiversity data. ZooKeys 904: 89-101. https://doi.org/10.3897/zookeys.904.47721

Data mining applied to scholarly publications to finally reveal Earth’s biodiversity

At a time when a million species are at risk of extinction, according to a recent UN report, ironically, we don’t know how many species there are on Earth, nor have we noted down all those that we have come to know on a single list. In fact, we don’t even know how many species we would have put on such a list.

The combined research including over 2,000 natural history institutions worldwide, produced an estimated ~500 million pages of scholarly publications and tens of millions of illustrations and species descriptions, comprising all we currently know about the diversity of life. However, most of it isn’t digitally accessible. Even if it were digital, our current publishing systems wouldn’t be able to keep up, given that there are about 50 species described as new to science every day, with all of these published in plain text and PDF format, where the data cannot be mined by machines, thereby requiring a human to extract them. Furthermore, those publications would often appear in subscription (closed access) journals.

The Biodiversity Literature Repository (BLR), a joint project ofPlazi, Pensoft and Zenodo at CERN, takes on the challenge to open up the access to the data trapped in scientific publications, and find out how many species we know so far, what are their most important characteristics (also referred to as descriptions or taxonomic treatments), and how they look on various images. To do so, BLR uses highly standardised formats and terminology, typical for scientific publications, to discover and extract data from text written primarily for human consumption.

By relying on state-of-the-art data mining algorithms, BLR allows for the detection, extraction and enrichment of data, including DNA sequences, specimen collecting data or related descriptions, as well as providing implicit links to their sources: collections, repositories etc. As a result, BLR is the world’s largest public domain database of taxonomic treatments, images and associated original publications.

Once the data are available, they are immediately distributed to global biodiversity platforms, such as GBIF–the Global Biodiversity Information Facility. As of now, there are about 42,000 species, whose original scientific descriptions are only accessible because of BLR.

The very basic principle in science to cite previous information allows us to trace back the history of a particular species, to understand how the knowledge about it grew over time, and even whether and how its name has changed through the years. As a result, this service is one avenue to uncover the catalogue of life by means of simple lookups.

So far, the lessons learned have led to the development of TaxPub, an extension of the United States National Library of Medicine Journal Tag Suite and its application in a new class of 26 scientific journals. As a result, the data associated with articles in these journals are machine-accessible from the beginning of the publishing process. Thus, as soon as the paper comes out, the data are automatically added to GBIF.

While BLR is expected to open up millions of scientific illustrations and descriptions, the system is unique in that it makes all the extracted data findable, accessible, interoperable and reusable (FAIR), as well as open to anybody, anywhere, at any time. Most of all, its purpose is to create a novel way to access scientific literature.

To date, BLR has extracted ~350,000 taxonomic treatments and ~200,000 figures from over 38,000 publications. This includes the descriptions of 55,800 new species, 3,744 new genera, and 28 new families. BLR has contributed to the discovery of over 30% of the ~17,000 species described annually.

Prof. Lyubomir Penev, founder and CEO of Pensoft says,

“It is such a great satisfaction to see how the development process of the TaxPub standard, started by Plazi some 15 years ago and implemented as a routine publishing workflow at Pensoft’s journals in 2010, has now resulted in an entire infrastructure that allows automated extraction and distribution of biodiversity data from various journals across the globe. With the recent announcement from the Consortium of European Taxonomic Facilities (CETAF) that their European Journal of Taxonomy is joining the TaxPub club, we are even more confident that we are paving the right way to fully grasping the dimensions of the world’s biodiversity.”

Dr Donat Agosti, co-founder and president of Plazi, adds:

“Finally, information technology allows us to create a comprehensive, extended catalogue of life and bring to light this huge corpus of cultural and scientific heritage – the description of life on Earth – for everybody. The nature of taxonomic treatments as a network of citations and syntheses of what scientists have discovered about a species allows us to link distinct fields such as genomics and taxonomy to specimens in natural history museums.”

Dr Tim Smith, Head of Collaboration, Devices and Applications Group at CERN, comments:

“Moving the focus away from the papers, where concepts are communicated, to the concepts themselves is a hugely significant step. It enables BLR to offer a unique new interconnected view of the species of our world, where the taxonomic treatments, their provenance, histories and their illustrations are all linked, accessible and findable. This is inspirational for the digital liberation of other fields of study!”

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Additional information:

BLR is a joint project led by Plazi in partnership with Pensoft and Zenodo at CERN.

Currently, BLR is supported by a grant from Arcadia, a charitable fund of Lisbet Rausing and Peter Baldwin.

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

*Data audit workflow provided for data papers submitted to Pensoft journals.*

To avoid publication of openly accessible, yet unusable datasets, fated to result in irreproducible and inoperable biological diversity research at some point down the road, Pensoft takes care for auditing data described in data paper manuscripts upon their submission to applicable journals in the publisher’s portfolio, including Biodiversity Data Journal, ZooKeys, PhytoKeys, MycoKeys and many others.

Once the dataset is clean and the paper is published, biodiversity data, such as taxa, occurrence records, observations, specimens and related information, become FAIR (findable, accessible, interoperable and reusable), so that they can be merged, reformatted and incorporated into novel and visionary projects, regardless of whether they are accessed by a human researcher or a data-mining computation.

As part of the pre-review technical evaluation of a data paper submitted to a Pensoft journal, the associated datasets are subjected to data audit meant to identify any issues that could make the data inoperable. This check is conducted regardless of whether the dataset are provided as supplementary material within the data paper manuscript or linked from the Global Biodiversity Information Facility (GBIF) or another external repository. The features that undergo the audit can be found in a data quality checklist made available from the website of each journal alongside key recommendations for submitting authors.

Once the check is complete, the submitting author receives an audit report providing improvement recommendations, similarly to the commentaries he/she would receive following the peer review stage of the data paper. In case there are major issues with the dataset, the data paper can be rejected prior to assignment to a subject editor, but resubmitted after the necessary corrections are applied. At this step, authors who have already published their data via an external repository are also reminded to correct those accordingly.

“It all started back in 2010, when we joined forces with GBIF on a quite advanced idea in the domain of biodiversity: a data paper workflow as a means to recognise both the scientific value of rich metadata and the efforts of the the data collectors and curators. Together we figured that those data could be published most efficiently as citable academic papers,” says Pensoft’s founder and Managing director Prof. Lyubomir Penev.

“From there, with the kind help and support of Dr Robert Mesibov, the concept evolved into a data audit workflow, meant to ‘proofread’ the data in those data papers the way a copy editor would go through the text,” he adds.

“The data auditing we do is not a check on whether a scientific name is properly spelled, or a bibliographic reference is correct, or a locality has the correct latitude and longitude”, explains Dr Mesibov. “Instead, we aim to ensure that there are no broken or duplicated records, disagreements between fields, misuses of the Darwin Core recommendations, or any of the many technical issues, such as character encoding errors, that can be an obstacle to data processing.”

At Pensoft, the publication of openly accessible, easy to access, find, re-use and archive data is seen as a crucial responsibility of researchers aiming to deliver high-quality and viable scientific output intended to stand the test of time and serve the public good.

CASE STUDY: Data audit for the “Vascular plants dataset of the COFC herbarium (University of Cordoba, Spain)”, a data paper in PhytoKeys

To explain how and why biodiversity data should be published in full compliance with the best (open) science practices, the team behind Pensoft and long-year collaborators published a guidelines paper, titled “Strategies and guidelines for scholarly publishing of biodiversity data” in the open science journal Research Ideas and Outcomes (RIO Journal).

Sir Charles Lyell’s historical fossils kept at London’s Natural History Museum accessible online

The Lyell Project team: First row, seated from left to right: Martha Richter (Principal Curator in Charge of Vertebrates), Consuelo Sendino (with white coat, curator of bryozoans holding a Lyell fossil gastropod from Canaries), Noel Morris (Scientific Associate of Invertebrates), Claire Mellish (Senior Curator of arthropods), Sandra Chapman (curator of reptiles) and Emma Bernard (curator of fishes, holding the lectotype of Cephalaspis lyelli). Second row, standing on from left to right: Jill Darrell (curator of cnidarians), Zoe Hughes (curator of brachiopods) and Kevin Webb (science photographer). Photo by Nelly Perez-Larvor.

More than 1,700 animal and plant specimens from the collection of eminent British geologist Sir Charles Lyell – known as the pioneer of modern geology – were organised, digitised and made openly accessible via the NHM Data Portal in a pilot project, led by Dr Consuelo Sendino, curator at the Department of Earth Sciences (Natural History Museum, London). They are described in a data paper published in the open-access Biodiversity Data Journal.

*Curator of plants Peta Hayes (left) and curator of bryozoans Consuelo Sendino (right) looking at a Lyell fossil plant from Madeira in the collection area. Photo by Mark Lewis.*

The records contain the data from the specimens’ labels (species name, geographical details, geological age and collection details), alongside high-resolution photographs, most of which were ‘stacked’ with the help of specialised software to re-create a 3D model.

Sir Charles Lyell’s fossil collection comprises a total of 1,735 specimens of fossil molluscs, filter-feeding moss animals and fish, as well as 51 more recent shells, including nine specimens originally collected by Charles Darwin from Tierra del Fuego or Galapagos, and later gifted to the geologist. The first specimen of the collection was deposited in distant 1846 by Charles Lyell himself, while the last one – in 1980 by one of his heirs.

With as much as 95% of the specimens having been found at the Macaronesian archipelagos of the Canaries and Madeira and dating to the Cenozoic era, the collection provides a key insight into the volcano formation and palaeontology of Macaronesia and the North Atlantic Ocean. By digitising the collection and making it easy to find and access for researchers from around the globe, the database is to serve as a stepping stone for studies in taxonomy, stratigraphy and volcanology at once.

*Sites where the Earth Sciences’ Lyell Collection specimens originate.*

“The display of this data virtually eliminates the need for specimen handling by researchers and will greatly speed up response time to collection enquiries,” explains Dr Sendino.

Furthermore, the pilot project and its workflow provide an invaluable example to future digitisation initiatives. In her data paper, Dr Sendino lists the limited resources she needed to complete the task in just over a year.

In terms of staff, the curator was joined by MSc student Teresa Máñez (University of Valencia, Spain) for six weeks while locating the specimens and collecting all the information about them; volunteer Jane Barnbrook, who re-boxed 1,500 specimens working one day per week for a year; NHM’s science photographer Kevin Webb and University of Lisbon’s researcher Carlos Góis-Marques, who imaged the specimens; and a research associate, who provided broad identification of the specimens, working one day per week for two months. Each of the curators for the collections, where the Lyell specimens were kept, helped Dr Sendino for less than a day. On the other hand, the additional costs comprised consumables such as plastazote, acid-free trays, archival pens, and archival paper for new labels.

“The success of this was due to advanced planning and resource tracking,” comments Dr Sendino.

“This is a good example of reduced cost for digitisation infrastructure creation maintaining a high public profile for digitisation,” she concludes.

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Original source:

Sendino C (2019) The Lyell Collection at the Earth Sciences Department, Natural History Museum, London (UK). Biodiversity Data Journal 7: e33504. https://doi.org/10.3897/BDJ.7.e33504

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About NHM Data Portal:

Committed to open access and open science, the Natural History Museum (London, UK) has launched the Data Portal to make its research and collections datasets available online. It allows anyone to explore, download and reuse the data for their own research.

The portal’s main dataset consists of specimens from the Museum’s collection database, with 4,224,171 records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.