Research Data Management Plan for the Meaningful Data Counts Project
| Autor: | Ninkov, Anton, Gregory, Kathleen, Ripp, Chantal, Morissette, Erica, Harper, Lina, Peters, Isabella, Tayler, Felicity, Haustein, Stefanie |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| DOI: | 10.5281/zenodo.4092121 |
| Popis: | This research data management plan (RDMP) describes how data is handled in the Meaningful Data Counts research project. The project is led by PI Stefanie Haustein and Co-PI Isabella Peters and funded by the Alfred P. Sloan Foundation. It uses mixed social sciences research methods, producing quantitative as well as qualitative datasets. As both PIs practice open science and scholarship, the RDMP puts an emphasis on data sharing and reuse. All data, software code and milestone working documents will be made available freely in online repositories throughout the research project and all publications will be published open access. The RDMP is structured and based on a template created for the Portage Network and is a living document that is expected to be revised as the project evolves. Research data management plan for Alfred P. Sloan Foundation Grant "to explore the extension of bibliometric analysis to the understanding of research data practices" (Meaningful Data Counts) |
| Databáze: | OpenAIRE |
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