Data Management Plan machine actionable, from theory to practice

a review of ARGOS and FioDMP tools

Abstract

This research work is the result of a partnership between Fundação Oswaldo Cruz (Fiocruz/Icict) and Fundação para a Ciência e Tecnologia, IP (FCT), with the aim of assessing potential improvements to two Data Management Plan (DMP) creation tools. Specifically, these tools are ARGOS, used in Portugal, and FioDMP, used in Brazil. The main purpose is to promote technological, semantic, and policy interoperability, ensuring that both tools comply with the FAIR Data Principles. The adopted methodological approach is exploratory and qualitative, seeking to identify patterns and insights that address the identified gaps in both tools. The inclusion of machine-actionable features, used in DMPs, has the potential to facilitate the researcher's work in managing their research data and minimize potential errors in DMP development, thereby facilitating the sharing and reuse of research data covered by the DMP. This communication presents preliminary results, such as the interaction of FioDMP with the controlled vocabulary in the health domain (DeCS/MeSH), integration with the Crossref DOI (Digital Object Identifier) assignment registry, and other ongoing integrations. It is also presented the work developed to customize ARGOS and integrate FCT's PGD template, with a focus on the adoption of machine-actionable features.