| Autor: |
Aktau, Aliya, Gambardella, Alessa, Hettne, Kristina, Ulzen van, Niek |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.7546766 |
| Popis: |
Making (meta)data more FAIR (hereafter: FAIRification) is key for the success of open science and research reproducibility. It is increasingly required by funders and is part of the data management policy at both Leiden University (LEI) and Leiden University Medical Center (LUMC). Yet, for many it is still unclear where and how to start with FAIRification. Several FAIRification approaches exist but no Leiden framework for delivering and supporting the use of such approaches is present at the research data management support groups of LEI/LUMC. In addition, approaches differ and are not mapped to the generally accepted research data lifecycle, and required tools often differ in complexity or maturity. In 2022 we set up ataskforce with the goal to explore if and how two FAIRification approaches could be offered as LEI/LUMC services to researchers.We focused on two approaches that originated in Leiden, namely a generic workflow for the data FAIRification process and the GO FAIR Three-Point FAIRification Framework. Outcomes are a summary report of the taskforce and a pitch deck for a course/training‘FAIRification through the Research Data Life Cycle’. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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