Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations

Bradley Wade Bishop, Peter Neish, Ji Hyun Kim, Raphaëlle Bats, A. J. Million, Jake Carlson, Heather Moulaison-Sandy, Minh T. Pham

Research output: Contribution to journalArticlepeer-review

Abstract

Data management plans (DMPs) have become nearly a worldwide requirement for research funding. To meet these new funding agency expectations, information professionals across domains and the world have worked to create resources and services to successfully implement and sometimes assess DMPs. This essay presents a series of case studies from different institutions across the globe to highlight current practices and share recommendations for future work. A summary of various projects related to DMP implementation, assessment, and evaluation in different contexts provides a useful overview of current practices. The essay concludes with recommendations for practical oversight and scoring to improve DMPs’ utility in enabling the sharing of data.

Original languageEnglish
Article number27
JournalData Science Journal
Volume22
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s).

Fingerprint

Dive into the research topics of 'Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations'. Together they form a unique fingerprint.

Cite this