Angling For Data: Making Biodiversity Metadata More Fair

Joakim Philipson
2017 Zenodo  
Slightly revised (longer) PDF-version of presentation given at TDWG2017, Oct. 3, Ottawa. Abstract, published in: Biodiversity Information Science and Standards 1: e20267 (14 Aug 2017) https://doi.org/10.3897/tdwgproceedings.1.20267 The FAIR guiding principles, first launched in 2014, for making research data more Findable, Accesible, Interoperable and Re-usable, have not yet been widely implemented for biodiversity data. Partly this may be due to the FAIR principles by themselves not yet being
more » ... ully operational and easy to interpret. There is work in progress to remedy this by different task groups, and different attempts have already been made. In this paper I will give some concrete tips aimed at implementing the FAIR principles for biodiversity research data, focusing on the metadata, in order to enhance the quality of data by making them more findable, accessible, interoperable and reusable. Among the steps that could be taken to make biodiversity database records more findable and accessible is for example to add schema.org markup to the html sourcecode of corresponding web pages, as has been successfully employed in the Uniprot database. Recently biocaddie.org has mapped the metadata format DATS, Data Tag Suite, to schema.org and there is also the ongoing adaptation effort of bioschemas.org. In addition, there is the highly commendable work done by former biosharing.org, which now has become the more general fairsharing.org and which aims to enhance findability, promote the adoption of metadata standards by policy makers and interlink metadata standards among themselves and with repositories (Sansone 2017). Further, to make biodiversity records more interoperable and reusable, it is essential to provide metadata export to a selection of general standards and formats. In doing this, promi [...]
doi:10.5281/zenodo.1002080 fatcat:blu4v3jwwvbsjl54ggvplrrx4e