Tag: biodiversity journal

A decade of empowering biodiversity science: celebrating 10 years of Biodiversity Data Journal

Together, we have redefined scientific communication, and we will continue to push the boundaries of knowledge.

Today, 16 September 2023, we are celebrating our tenth anniversary: an important milestone that has prompted us to reflect on the incredible journey that Biodiversity Data Journal (BDJ) has been through.

From the very beginning, our mission was clear: to revolutionise the way biodiversity data is shared, accessed, and harnessed. This journey has been one of innovation, collaboration, and a relentless commitment to making biodiversity data FAIR – Findable, Accessible, Interoperable, and Reusable.

Over the past 10 years, BDJ, under the auspices of our esteemed publisher Pensoft, has emerged as a trailblazing force in biodiversity science. Our open-access platform has empowered researchers from around the world to publish comprehensive papers that seamlessly blend text with morphological descriptions, occurrences, data tables, and more. This holistic approach has enriched the depth of research articles and contributed to the creation of an interconnected web of biodiversity information.

In addition, by utilising ARPHA Writing Tool and ARPHA Platform as our entirely online manuscript authoring and submission interface, we have simplified the integration of structured data and narrative, reinforcing our commitment to simplifying the research process.

One of our most significant achievements is democratising access to biodiversity data. By dismantling access barriers, we have catalysed the emergence of novel research directions, equipping scientists with the tools to combat critical global challenges such as biodiversity loss, habitat degradation, and climate fluctuations.

We firmly believe that data should be openly accessible to all, fostering collaboration and accelerating scientific discovery. By upholding the FAIR principles, we ensure that the datasets accompanying our articles are not only discoverable and accessible, but also easy to integrate and reusable across diverse fields.

As we reflect on the past decade, we are invigorated by the boundless prospects on the horizon. We will continue working on to steer the global research community towards a future where biodiversity data is open, accessible, and harnessed to tackle global challenges.

Ten years of biodiversity research

To celebrate our anniversary, we have curated some of our most interesting and memorable BDJ studies from the past decade.

  • Recently, news outlets were quick to cover a new species of ‘snug’ published in our journal.
New ‘snug,’ a snail with a too-small shell, described from Brunei rainforest
  • This Golden Retriever trained to monitor hermit beetle larvae proved once again the incredible capabilities of our canine friends.
Teseo, the Golden Retriever monitoring hermit beetle larvae
  • Who could forget this tiny fly named after the former Governor of California?
  • Or this snail named after climate activist Greta Thunberg?
Craspedotropis gretathunbergae

New discoveries are always exciting, but some of our favourite research focuses on formerly lost species, back where they belong.

  • Like the griffon vulture, successfully reintroduced to Bulgaria after fifty years.
The incredible return of Griffon Vulture to Bulgaria’s Eastern Balkan Mountains

Citizen science has shown time and time again that it holds an important position in biodiversity research.

  • This group, for example, who found a beetle the size of a pinhead in Borneo.
“Life Beneath the Ice”, a short musical film about light and life beneath the Antarctic sea-ice by Dr. Emiliano Cimoli

We extend our heartfelt gratitude to our authors, reviewers, readers, and the entire biodiversity science community for being integral parts of this transformative journey. Together, we have redefined scientific communication, and we will continue to push the boundaries of knowledge.

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How to import occurrence records into manuscripts from GBIF, BOLD, iDigBio and PlutoF

On October 20, 2015, we published a blog post about the novel functionalities in ARPHA that allows streamlined import of specimen or occurrence records into taxonomic manuscripts.

Recently, this process was reflected in the “Tips and Tricks” section of the ARPHA authoring tool. Here, we’ll list the individual workflows:

Based on our earlier post, we will now go through our latest updates and highlight the new features that have been added since then.

Repositories and data indexing platforms, such as GBIF, BOLD systems, iDigBio, or PlutoF, hold, among other types of data, specimen or occurrence records. It is now possible to directly import specimen or occurrence records into ARPHA taxonomic manuscripts from these platforms [see Fig. 1]. We’ll refer to specimen or occurrence records as simply occurrence records for the rest of this post.

Import_specimen_workflow_
[Fig. 1] Workflow for directly importing occurrence records into a taxonomic manuscript.
Until now, when users of the ARPHA writing tool wanted to include occurrence records as materials in a manuscript, they would have had to format the occurrences as an Excel sheet that is uploaded to the Biodiversity Data Journal, or enter the data manually. While the “upload from Excel” approach significantly simplifies the process of importing materials, it still requires a transposition step – the data which is stored in a database needs to be reformatted to the specific Excel format. With the introduction of the new import feature, occurrence data that is stored at GBIF, BOLD systems, iDigBio, or PlutoF, can be directly inserted into the manuscript by simply entering a relevant record identifier.

The functionality shows up when one creates a new “Taxon treatment” in a taxonomic manuscript in the ARPHA Writing Tool. To import records, the author needs to:

  1. Locate an occurrence record or records in one of the supported data portals;
  2. Note the ID(s) of the records that ought to be imported into the manuscript (see Tips and Tricks for screenshots);
  3. Enter the ID(s) of the occurrence record(s) in a form that is to be seen in the “Materials” section of the species treatment;
  4. Select a particular database from a list, and then simply clicks ‘Add’ to import the occurrence directly into the manuscript.

In the case of BOLD Systems, the author may also select a given Barcode Identification Number (BIN; for a treatment of BIN’s read below), which then pulls all occurrences in the corresponding BIN.

We will illustrate this workflow by creating a fictitious treatment of the red moss, Sphagnum capillifolium, in a test manuscript. We have started a taxonomic manuscript in ARPHA and know that the occurrence records belonging to S. capillifolium can be found on iDigBio. What we need to do is to locate the ID of the occurrence record in the iDigBio webpage. In the case of iDigBio, the ARPHA system supports import via a Universally Unique Identifier (UUID). We have already created a treatment for S. capillifolium and clicked on the pencil to edit materials [Fig. 2].

Figure-61-01
[Fig. 2] Edit materials
In this example, type or paste the UUID (b9ff7774-4a5d-47af-a2ea-bdf3ecc78885), select the iDigBio source and click ‘Add’. This will pull the occurrence record for S. capillifolium from iDigBio and insert it as a material in the current paper [Fig. 3].

taxon-treatments- 3
[Fig. 3] Materials after they have been imported
This workflow can be used for a number of purposes. An interesting future application is the rapid re-description of species, but even more exciting is the description of new species from BIN’s. BIN’s (Barcode Identification Numbers) delimit Operational Taxonomic Units (OTU’s), created algorithmically at BOLD Systems. If a taxonomist decides that an OTU is indeed a new species, then he/she can import all the type information associated with that OTU for the purposes of describing it as a new species.

Not having to retype or copy/paste species occurrence records, the authors save a lot of efforts. Moreover, they automatically import them in a structured Darwin Core format, which can easily be downloaded from the article text into structured data by anyone who needs the data for reuse.

Another important aspect of the workflow is that it will serve as a platform for peer-review, publication and curation of raw data, that is of unpublished individual data records coming from collections or observations stored at GBIF, BOLD, iDigBio and PlutoF. Taxonomists are used to publish only records of specimens they or their co-authors have personally studied. In a sense, the workflow will serve as a “cleaning filter” for portions of data that are passed through the publishing process. Thereafter, the published records can be used to curate raw data at collections, e.g. put correct identifications, assign newly described species names to specimens belonging to the respective BIN and so on.

 

Additional Information:

The work has been partially supported by the EC-FP7 EU BON project (ENV 308454, Building the European Biodiversity Observation Network) and the ITN Horizon 2020 project BIG4 (Biosystematics, informatics and genomics of the big 4 insect groups: training tomorrow’s researchers and entrepreneurs), under Marie Sklodovska-Curie grant agreement No. 642241.