Data Management Plans: Implications for Automated Analyses

« Data management plans (DMPs) are an essential part of planning data-driven research projects and ensuring long-term access and use of research data and digital objects; however, as text-based documents, DMPs must be analyzed manually for conformance to funder requirements. This study presents a comparison of DMPs evaluations for 21 funded projects using 1) an automated means of analysis to identify elements that align with best practices in support of open research initiatives and 2) a manually-applied scorecard measuring these same elements. (…) »

source > datascience.codata.org, Pham, N.-M., Moulaison-Sandy, H., Bishop, B.W. and Gunderman, H., 2023. Data Management Plans: Implications for Automated Analyses. Data Science Journal, 22(1), p.2. DOI: http://doi.org/10.5334/dsj-2023-002

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