Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations
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 e...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2023-08-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1527 |
| _version_ | 1797672620281298944 |
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| author | Bradley Wade Bishop Peter Neish Ji Hyun Kim Raphaëlle Bats A. J. Million Jake Carlson Heather Moulaison-Sandy Minh T. Pham |
| author_facet | Bradley Wade Bishop Peter Neish Ji Hyun Kim Raphaëlle Bats A. J. Million Jake Carlson Heather Moulaison-Sandy Minh T. Pham |
| author_sort | Bradley Wade Bishop |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T21:32:48Z |
| format | Article |
| id | doaj.art-6291a027fc8c47e48ac3ed2adac27ef7 |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-03-11T21:32:48Z |
| publishDate | 2023-08-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-6291a027fc8c47e48ac3ed2adac27ef72023-09-27T07:53:25ZengUbiquity PressData Science Journal1683-14702023-08-0122272710.5334/dsj-2023-0271403Data Management Plan Implementation, Assessments, and Evaluations: Implications and RecommendationsBradley Wade Bishop0https://orcid.org/0000-0002-5022-2707Peter Neish1https://orcid.org/0000-0002-7171-2334Ji Hyun Kim2https://orcid.org/0000-0003-1081-2590Raphaëlle Bats3https://orcid.org/0000-0003-2165-8453A. J. Million4https://orcid.org/0000-0002-8909-153XJake Carlson5https://orcid.org/0000-0003-2733-0969Heather Moulaison-Sandy6https://orcid.org/0000-0001-7783-7069Minh T. Pham7https://orcid.org/0000-0002-9776-3981University of TennesseeUniversity of MelbourneEwha Womans UniversityUniversity of BordeauxDirector of the National Archive of Criminal Justice Data, US Department of Justice, University of MichiganUniversity of BuffaloUniversity of MissouriUniversity of FloridaData 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.https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1527research data managementdata management planmachine-actionable dmpmadmpassessmentevaluation |
| spellingShingle | Bradley Wade Bishop Peter Neish Ji Hyun Kim Raphaëlle Bats A. J. Million Jake Carlson Heather Moulaison-Sandy Minh T. Pham Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations Data Science Journal research data management data management plan machine-actionable dmp madmp assessment evaluation |
| title | Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations |
| title_full | Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations |
| title_fullStr | Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations |
| title_full_unstemmed | Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations |
| title_short | Data Management Plan Implementation, Assessments, and Evaluations: Implications and Recommendations |
| title_sort | data management plan implementation assessments and evaluations implications and recommendations |
| topic | research data management data management plan machine-actionable dmp madmp assessment evaluation |
| url | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1527 |
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