FAIR Research Data Management in Institutions
Research data are an asset for research institutions. Their creation, management and stewardship imposes considerable responsibilities and requires partnership and alignment with other institutions and research initiatives globally. All over the world universities and libraries have started the task of developing research data services, many aspiring to cover the entire research lifecycle: support in writing proposals and data management plans, repository infrastructures for the storage of data, support in publishing data, assignment of persistent identifiers, lecturing in data management, etc. This broad scope means that such services are often seen as requiring a joint effort from university, library, IT centre, faculties and other stakeholders.
FAIR (findable, accessible, interoperable, and reusable) Research Data Management involves robust planning, policies, infrastructure, training and support. Institutes that produce and consume data are required to ensure seamless accessibility to data and ensure practices that foster its reuse. Often institutes are less aware of existing good practices and progress in implementing Institutional Research Data Management.
These topics are the subject of a series of symposia and workshop convened by CODATA with partners. Selected papers from these events are collected here.
The events so far in this series have been:
- CODATA-Helsinki 2019 FAIR RDM Workshop, National Archives of Finland on 20-21 October 2019.
Guest editors:
Simon Hodson, simon@codata.org
Jan Brase, brase@sub.uni-goettingen.de
Michael Witt, mwitt@purdue.edu
Liz Lyon, elyon.pitt@gmail.com
Devika P. Madalli, devika@drtc.isibang.ac.in
