Institutional support for data management plans: case studies for a systematic approach

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Karimova, Y (Author) Other; Cristina Ribeiro (Author) FEUP; Gabriel David (Author) FEUP

Journal

The Journal is awaiting validation by the Administrative Services.

Title: International Journal of Metadata, Semantics and Ontologies

Vol. 15

Pages: 178-191

ISSN: 1744-2621

Indexing

Scopus - 178 Citations

Other information

Authenticus ID: P-00W-NT9

DOI: 10.1504/ijmso.2021.123041

Abstract (EN): Researchers have to ensure that their projects comply with Research Data Management (RDM) requirements. Consequently, the main funding agencies require Data Management Plans (DMPs) for grant applications. So, institutions are investing in RDM tools and implementing RDM workflows in order to support their researchers. In this context, we propose a collaborative DMP-building method that involves researchers, data stewards and other parties if required. This method was applied as part of an RDM workflow in research groups across several scientific domains. We describe it as a systematic approach and illustrate it through a set of case studies. We also address the DMP monitoring process during the life cycle of projects. The feedback from the researchers highlighted the advantages of creating DMPs and their growing need. So, there is motivation to improve the DMP support process according to the machine-actionable DMPs concept and to the best practices in each scientific community. © 2021 Inderscience Enterprises Ltd.. All rights reserved.

Language: English

Type (Professor's evaluation): Scientific