Archives des mots-clés : Jacquelijn Ringersma

Do I-PASS for FAIR? Measuring the FAIR-ness of Research Organizations

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Authors : Jacquelijn Ringersma, Margriet Miedema

Given the increased use of the FAIR acronym as adjective for other contexts than data or data sets, the Dutch National Coordination Point for Research Data Management initiated a Task Group to work out the concept of a FAIR research organization.

The results of this Task Groups are a definition of a FAIR enabling organization and a method to measure the FAIR-ness of a research organization (The Do-I-PASS for FAIR method). The method can also aid in developing FAIR-enabling Road Maps for individual research institutions and at a national level.

This practice paper describes the development of the method and provides a couple of use cases for the application of the method in daily research data management practices in research organizations.

URL : Do I-PASS for FAIR? Measuring the FAIR-ness of Research Organizations

DOI : http://doi.org/10.5334/dsj-2021-030

A Principled Approach to Online Publication Listings and Scientific Resource Sharing

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Authors : Jacquelijn Ringersma, Karin Kastens, Ulla Tschida, Jos van Berkum

The Max Planck Institute (MPI) for Psycholinguistics has developed a service to manage and present the scholarly output of their researchers. The PubMan database manages publication metadata and full-texts of publications published by their scholars.

All relevant information regarding a researcher’s work is brought together in this database, including supplementary materials and links to the MPI database for primary research data.

The PubMan metadata is harvested into the MPI website CMS (Plone). The system developed for the creation of the publication lists, allows the researcher to create a selection of the harvested data in a variety of formats.

URL : https://journal.code4lib.org/articles/2520

The development of a research data policy at Wageningen University & Research: best practices as a framework

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Authors: Hilde van Zeeland, Jacquelijn Ringersma

The current case study describes the development of a Research Data Management policy at Wageningen University & Research, the Netherlands. To develop this policy, an analysis was carried out of existing frameworks and principles on data management (such as the FAIR principles), as well as of the data management practices in the organisation.

These practices were defined through interviews with research groups. Using criteria drawn from the existing frameworks and principles, certain research groups were identified as ‘best-practices’: cases where data management was meeting the most important data management criteria.

These best-practices were then used to inform the RDM policy. This approach shows how engagement with researchers can not only provide insight into their data management practices and needs, but directly inform new policy guidelines.

URL : The development of a research data policy at Wageningen University & Research: best practices as a framework

DOI : http://doi.org/10.18352/lq.10215