Research Article
Data Management Plan in Research: Characteristics and Development
@INPROCEEDINGS{10.1007/978-3-030-50072-6_1, author={Paulo A. Cauchick-Miguel and Suzana R. Moro and Roberto Rivera and Marlene Amorim}, title={Data Management Plan in Research: Characteristics and Development}, proceedings={Data and Information in Online Environments. First EAI International Conference, DIONE 2020, Florian\^{o}polis, Brazil, March 19-20, 2020, Proceedings}, proceedings_a={DIONE}, year={2020}, month={6}, keywords={Data planning Research plan Research Data Management}, doi={10.1007/978-3-030-50072-6_1} }- Paulo A. Cauchick-Miguel
Suzana R. Moro
Roberto Rivera
Marlene Amorim
Year: 2020
Data Management Plan in Research: Characteristics and Development
DIONE
Springer
DOI: 10.1007/978-3-030-50072-6_1
Abstract
Data science is an interdisciplinary field that extracts value from data. One of the relevant areas is its application in research in order to define requirements of the data life cycle. Thus, data should be managed before, during, and after a research project completion. A robust data management plan (DMP) is a relevant and useful instrument to establish data-related requirements. In this context, this paper aims at highlighting some characteristics associated to research data management. To conduct this study peer-reviewed literature and secondary data are methodologically employed to fulfil the paper objective. The results discuss the development of DMP, provide some examples of documents and a check list related to data management, and present some recommendations for developing a suitable data management plan from the literature. The data management plan is one of the important instruments that should be considered with care when designing and applying it. Future work may consider providing a structure and guidance for research students in the field of industrial engineering as a valuable avenue to explore.
