Survey: FAIR data principles in RDM & SSH
The ‘Untangling FAIR Implementation in the Dutch Social Sciences and Humanities’ project has launched a survey to explore how FAIR data principles align with Research Data Management (RDM) policies and the coordination of FAIR-enabling services in Social Sciences & Humanites (SSH) research. The survey is open to data stewards, curators, RDM coordinators, managers, senior decision-makers, and policy professionals.
Please fill in the 15-minute survey by clicking the button below and spread the word!
Project aim
The ‘Untangling FAIR Implementation in the Dutch Social Sciences and Humanities’ project aims to get to grips with the governance and processes implemented for FAIR data in the SSH-domain at an institutional level, and to map them to the technical facilities available.
In short, the project tries to answer the question ‘who is responsible for making FAIR implementation choices at which level of your organisation, at which point in the research data life cycle, and with which infrastructure at their disposal?’. The project is currently collecting experiences and insights of FAIR implementation in Dutch research and cultural heritage institutions, and universities/faculties.
This project is funded by the Dutch Research Council (NWO) through the Thematic Digital Competence Center for Social Sciences and Humanities (TDCC-SSH). It is a collaboration between ODISSEI, DANS, and Erasmus University Rotterdam. Utrecht University’s Coosje Veldkamp is part of the Advisory Board for this project.
FAIR
FAIR stands for Findable, Accessible, Interoperable, and Reusable. The FAIR principles are a set of instructions formulated to maximize the use of data and other digital objects such as code and software. Their aim is to facilitate, encourage and guide researchers towards making their data easily findable and accessible, in line with Open Science guidelines. All the while ensuring that the data they make available is easily understood and well documented with the ultimate goal to make scientific data as reusable as possible.
More information
For more information about the survey, please contact Bora Lushaj (EUR).