The Antarctic Biodiversity Information Facility is progressively deploying its architecture, to ensure free and open access to Antarctic biodiversity data. This architecture strongly relies on GBIF tools, which have been incorporated and sometimes customized to accommodate the needs of our community.
A strong component of this architecture is the Integrated Publishing Toolkit
(IPT). The IPT allows the users to standardize, document and share their primary biodiversity data using a simple web interface. Its a one-stop shop for opening up data which can be crucial in the face of the extremely rapid environmental change which is currently challenging Antarctic ecosystems.
As part of the numerous IPT features, the possibility to generate a manuscript is probably one of the most promising to encourage data publication in our community. As a user, once you have standardized and shared your data, you can use the IPT to automatically generate a Data Paper, which in turn can be submitted to a series of journals accepting them, such as Zookeys, Phytokeys, Biorisk, Neobiota, from Pensoft publishers
. Your paper the goes through a classic peer-reviewign process, and once accepted is published, citable and receives a DOI (Digital Object Identifier).
As a proof of concept, the first Antarctic biodiversity data paper has just been published and is available in open access for all. The paper is describes a dataset pertaining to a collection of starfish sampled during the ANDEEP3 expedition to the Southern Ocean. The intention is to show that even simple biodiversity datasets that might be sitting on your computer can be valorized into an internationally peer-reviewed publication, whilst benefitting to the wider community, and helping us build an integrative image of Antarctic biodiversity.
If you would like to do so, please contact the ANTABIF team
, and we will grant you a login/pass for our IPT instance. We are there to assist you in the process of publishing your data and valorizing it, so please don’t hesitate to contact us, even for smaller datasets.
We sincerely hope you enjoy this feature of ANTABIF, and would like to take the opportunity to thank GBIF and Pensoft for a major achievement towards primary data accessibility!