A data lifecycle management process comprised of departmental, institutional, or organization policies and procedures governing the creation, organization, dissemination, preservation, and comprehensive lifecycle management of research data and information in accordance with relevant standards, best practices, and guidelines. Data management planning includes data curation, digital curation, and digital preservation. Data management and curation services include data management planning.
Published in Chapter:
Transforming RDM Conversations Into Collaborations: From Projects to Programs to Policy
Plato L. Smith II (University of Florida, USA), Erik Deumens (University of Florida, USA), Matthew A. Gitzendanner (University of Florida, USA), Christopher P. Barnes (University of Florida, USA), Ying Zhang (University of Florida, USA), and Chelsea Johnston (University of Florida, USA)
Copyright: © 2022
|Pages: 28
DOI: 10.4018/978-1-7998-9702-6.ch013
Abstract
This chapter explores the development of university-wide research data management conversations and collaborations involving key stakeholders at a Research 1 (R1) higher education institution in the southeastern United States of America. Research data management conversations led to collaborations of several key stakeholders across campus (i.e., university, office of research, research compliance office, information technology [IT], researchers, academic units, library) resulting in the development of an inaugural Supporting Data Management at University of Florida (UF) Proposal to the Office of Research draft document in 2019. Funding agencies, research foundations, and research associations increasingly request plans outlining how scientific data from funded research will be annotated, managed, shared, and stored. The National Institutes of Health (NIH) new Policy on Data Management and Sharing becomes effective January 25, 2023. The authors employed a participatory action research method to explore evolving aspects of the data science ecosystem, including research data management.