Tag: Biodiversity Data Journal

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Pensoft partners with ReviewerCredit to certify and reward peer review

Following recent API integration with ReviewerCredits, Pensoft – the scholarly publisher and technology provider – has launched a pilot phase with one of its peer-reviewed, open-access journal: Biodiversity Data Journal (BDJ). Reviewers, who create an account on ReviewerCredits, will automatically record their peer review contributions, which will be certified via the platform and receive rewards and recognition within the scholarly community and fellow scientists. 

Apart from a seamless system to showcase their peer review activity, reviewers will also be assigned virtual credits, which can be redeemed for benefits provided by selected partners, including discounted APCs. 

The registration on ReviewerCredits is free. While a reviewer can register any of his/her peer reviews on the platform, reviews for journals partnering with ReviewerCredits earn additional redeemable credits.

Once a reviewer signs in BDJ using their own reviewer account, a pop-up window will recommend that an account on ReviewerCredits is created by using an ORCID ID or an email address. Once the registration is complete, each completed peer review contribution will automatically appear as certified on ReviewerCredits, as soon as the editor submits a final decision on the reviewed manuscript. In line with peer-review confidentiality, the entry displayed on ReviewerCredits will not contain the content of the review, nor the particular paper it is associated with.

“We are happy to partner with ReviewerCredits to further recognise, encourage and reward the contribution of reviewers in BDJ. No one should forget that, at the end of the day, it is up to reviewers to ensure that only good and quality science makes its way in the world. Unfortunately, though, their role in scholarship has traditionally been overlooked and we all need to put in effort to change the status quo,”

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

“We are excited by the collaboration with Pensoft on this project and to acknowledge BDJ among our prestigious partner journals. Pensoft has proved an extremely competent partner, well aware of the importance for journals to state the value of their peer review process. We work together to strengthen the collaboration between journals and reviewers and we are looking forward to a growing collaboration with Pensoft publications,”

Prof. Giacomo Bellani, co-founder and president of ReviewerCredits, underlines the value and enthusiasm for this new partnership.

Additional information:

About ReviewerCredits:

ReviewerCredits is a startup company, accredited to the University of Milan Bicocca, launched in 2017 by enthusiastic active researchers and scientists. ReviewerCredits is an independent platform dedicated to scientists, Journals and Publishers addressing the peer review process.

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Upcoming Special Issue of Biodiversity Data Journal to feature data papers on 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.
CASE STUDY: Data audit for the “Vascular plants dataset of the COFC herbarium (University of Cordoba, Spain)”, a data paper in PhytoKeys
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Biodiversity Data Journal in Science Citation Index Expanded & Journal Citation Reports

Nearly five years after the launch of the innovative, open access scholarly venue, designed to accelerate biodiversity research by closing the gap between narrative and machine-readable structured data, BDJ is formally recognised as one of the high quality journals in its discipline by Clarivate Analytics.

Following a rigorous evaluation process, Pensoft‘s Biodiversity Data Journal (BDJ) was accepted for a range of Clarivate Analytics products and services, including the Science Citation Index Expanded (SCIE) and the Journal Citation Reports, meaning it is to make use of the Journal Impact Factor and related metrics.

Furthermore, articles published in BDJ are to be abstracted in several databases: Agriculture, Biology, and Environmental Sciences; Zoological Record, Biological Abstracts and BIOSIS Previews, so that the publications are even easier to find by researchers, while citations are continuously tracked, assessed and analysed.

Unlike conventional scholarly journals, BDJ allows for the integrated publication of data alongside text, made possible through highly automated import and conversion of machine-readable structured data into human-accessible format, resulting in a wide range of article types: data papers, species occurrences, species conservation profiles, software descriptions and others. On the other hand, text published in BDJ can be easily downloaded as data or mined by computers for reuse.

“Going beyond the purposes and capabilities of a traditional scholarly journal, or even a data journal, for five years now, BDJ has been successfully demonstrating how much of a valuable scholarly outlet it really is, especially when it comes to publication of data meant to be optimally findable, accessible, interoperable and reusable to the benefit of the field of biodiversity research,” says Prof. Lyubomir Penev, CEO and founder of both Biodiversity Data Journal and Pensoft.

“This recognition from Clarivate is certainly a great reassurance that BDJ has managed to fulfill its mission in proving its worth on the scholarly scene. After all, it comes with the leading usage metrics, in addition to the already featured Altmetrics, Dimensions, Scopus, and article- and sub-article-level statistics,” he adds.

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About Biodiversity Data Journal:

Biodiversity Data Journal (BDJ) is a community peer-reviewed, open access journal, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – are treated and stored as data. BDJ aims at integrating data and narrative in the article content to the maximum extent possible. Supplementary data files that underpin graphs, hypotheses and results should also be published with the article or deposited in trusted open access data repositories. The journal provides rich biodiversity data import and export facilities through the ARPHA Writing Tool and Darwin Core Archives.