Making Software FAIR: Identifying and Extracting Software Mentions from Open Research Papers and Registering them with PIDs

grant

open research data, FAIR, ML-based bibliographoc extraction tool

Collaboration with partners to further develop existing ML-based bibliographic extraction tools, which are already state of the art, can significantly improve on current methodologies. By integrating and applying these new tools within established open scholarly infrastructures used by millions of people (CORE, EuropePMC, HAL, Software Heritage), we will increase metadata quality and facilitate the adoption of persistent identifiers across the open repositories network. This will make research software more discoverable within the open scholarly infrastructure in line with FAIR policies. The systematic archival in the Software Heritage universal archive of the corresponding source code, when available, will also make research software available and reusable.

Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT) , research leader
Dočekal Martin, Ing. (UPGM FIT VUT)
Dytrych Jaroslav, Ing., Ph.D. (UPGM FIT VUT)
Fajčík Martin, Ing. (UPGM FIT VUT)