Data Curation Profiling to Assess Data Management Training Needs and Practices to Inform a Toolkit
Autor: | Rowena I. Davis, Fiona Murphy, Judit Ungvari, Rebecca Howard, Hannah C. Gunderman, Tina Lee, Robert Samors, Bradley Wade Bishop |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Open science
Knowledge management 010504 meteorology & atmospheric sciences data curation profile Data management information science data curation open data 01 natural sciences data management plan open data policy research data management Computer Science (miscellaneous) Profiling (information science) Sociology lcsh:Science (General) 0105 earth and related environmental sciences Data curation business.industry 05 social sciences Data management plan Computer Science Applications Open data Training needs 0509 other social sciences 050904 information & library sciences business lcsh:Q1-390 |
Zdroj: | Data Science Journal; Vol 19 (2020); 4 Data Science Journal, Vol 19, Iss 1 (2020) |
ISSN: | 1683-1470 |
Popis: | The purpose of this paper is to explore current data management training needs and practices for Belmont Forum member agencies and researchers to inform a Toolkit. Fourteen Belmont Forum affiliated individuals were interviewed following a predetermined set of questions to create data curation profiles of their funded work. The data curation profile questionnaire includes questions related to data management, storage, stakeholders, costs, training, and credentials. The interview findings highlight gaps in existing knowledge of data management theory and practice that could impact data re-use. Results of these interviews were used to populate a Toolkit of data management training and effective practice resources specifically developed to train Belmont Forum grant awardees. The results also highlight some attitudes and behaviours of current scientists, researchers, and agency representatives, and the impact of the implementation of data management plans on the open science movement. |
Databáze: | OpenAIRE |
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