The Value of a Data and Digital Object Management Plan (D(DO)MP) in Fostering Sharing Practices in a Multidisciplinary Multinational Project
References
- Allison, L, et al. 2015. A place to stand: e-infrastructures and data management for global change research. Zenodo. DOI: 10.5281/zenodo.34370
- Belmont Forum. 2017. Belmont Forum. Available at
https://www.belmontforum.org/ [Last accessed 03 August 2023]. - Belmont Forum e-I and DM CRA. 2018. e-Infrastructures & data management toolkit. Available at
https://bfe-inf.github.io/toolkit/index.html [Last accessed 03 August 2023]. - Bishop, B, et al. 2020. Data curation profiling to assess data management training needs and practices to inform a toolkit. Data Science Journal, 19:
4 . DOI: 10.5334/dsj-2020-004 - Bishop, BW, et al. 2019. Belmont Forum data management plan scorecard. DOI: 10.5281/zenodo.3530933
- Burnette, M, Williams, S and Imker, H. 2016. From plan to action: successful data management plan implementation in a multidisciplinary project. Journal of eScience Librarianship, 5:
e1101 . DOI: 10.7191/jeslib.2016.1101 - Crowston, K, et al. 2015. Perceived discontinuities and continuities in transdisciplinary scientific working groups. Science of The Total Environment, 534: 159–172. DOI: 10.7191/jeslib.2016.1101
- DataCite. 2020. Data cite commons. Available at
https://commons.datacite.org/ [Last accessed 10 August 2023]. - Devaraju, A, et al. 2021. From conceptualization to implementation: FAIR assessment of research data objects. Data Science Journal, 20:
4 . DOI: 10.5334/dsj-2021-004 - Edmunds, R, et al. 2022. Repository guidelines. Zenodo. DOI: 10.5281/zenodo.6542494
- ESF. 2011. ESF Member organisation forum on research integrity. Available at
http://www.esf.org/coordinating-research/mo-fora/research-integrity.html [Last accessed 03 August 2023]. - Gries, C, et al. 2023. The environmental data Initiative: Connecting the past to the future through data reuse. Ecology and Evolution, 13:
e9592 . DOI: 10.1002/ece3.9592 - Lin, D, et al. 2020. The TRUST Principles for digital repositories. Scientific Data, 7: 1–5. DOI: 10.1038/s41597-020-0486-7
- Miksa, T, Simms, S, Mietchen, D and Jones, S. 2019. Ten principles for machine-actionable data management plans. PLOS Computational Biology, 15:
e1006750 . DOI: 10.1371/journal.pcbi.1006750 - Michener, WK. 2015. Ten Simple Rules for Creating a Good Data Management Plan. PLOS Computational Biology, 11:
e1004525 . DOI: 10.1371/journal.pcbi.1004525 - Michener, WK, et al. A 2012. Participatory design of DataONE—Enabling cyberinfrastructure for the biological and environmental sciences. Ecological Informatics, 11: 5–15. DOI: 10.1016/j.ecoinf.2011.08.007
- PARSEC. 2019. Building new tools for data sharing and re-use through a transnational investigation of the socioeconomic impacts of protected areas. PARSEC. Available at
http://parsecproject.org [Last accessed 03 August 2023]. - Schmidt, B, Gemeinholzer, B and Treloar, A. 2016. Open data in global environmental research: The Belmont Forum’s open data survey. PLOS ONE, 11:
e0146695 . DOI: 10.1371/journal.pone.0146695 - Science Europe. 2022. Research data management. Science Europe. Available at
https://scieur.org/rdm [Last accessed 03 August 2023]. - Smale, NA, et al. 2020. A Review of the History, Advocacy and Efficacy of Data Management Plans. International Journal of Digital Curation, 15:
30 . DOI: 10.2218/ijdc.v15i1.525 - Specht, A, et al. 2015. Data management challenges in analysis and synthesis in the ecosystem sciences. Science of The Total Environment, 534: 144–158. DOI: 10.1016/j.scitotenv.2015.03.092
- Specht, A and Crowston, K. 2022. Interdisciplinary collaboration from diverse science teams can produce significant outcomes. PLoS ONE, 17:
e0278043 . DOI: 10.1371/journal.pone.0278043 - Specht, A and Stall, S. 2022. PARSEC entry data management survey. Zenodo. DOI: 10.5281/Zenodo.7425596
- Stall, S, et al. 2020. PARSEC data and digital output management plan and workbook Version 1. Zenodo. DOI: 10.5281/zenodo.3891427
- Stall, S, et al. 2021a. PARSEC data and digital output management plan and workbook Version 2. Zenodo. DOI: 10.5281/zenodo.4910115
- Stall, S, et al. 2021b. PARSEC DDOMP workbook checklist Version 1. Zenodo. DOI: 10.5281/zenodo.4909852
- Stall, S, et al. 2023a. PARSEC data and digital output management plan and workbook Version 3. Zenodo. DOI: 10.5281/zenodo.8231464
- Stall, S, et al. 2023b. PARSEC DDOMP workbook checklist Version 3. DOI: 10.5281/zenodo.8239982
- UNESCO. 2021. UNESCO recommendation on open science. United Nations Educational, Scientific and Cultural Organization, Paris, France. UNESDOC. Available at:
https://bit.ly/3rTYZxw [last accessed on 8 August 2023]. - Verburg, M and Grootveld, M. 2022. FAIR-Aware. Additional guidance to the science Europe DMP assessment rubric. Zenodo. DOI: 10.5281/zenodo.6088215
- Wilkinson, MD, et al. 2016. The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3:
160018 . DOI: 10.1038/sdata.2016.18
DOI: https://doi.org/10.5334/dsj-2023-038 | Journal eISSN: 1683-1470
Language: English
Page range: 38 - 38
Submitted on: Dec 15, 2022
Accepted on: Aug 22, 2023
Published on: Oct 6, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2023 Alison Specht, Margaret O’Brien, Rorie Edmunds, Pedro Corrêa, Romain David, Laurence Mabile, Jeaneth Machicao, Yasuhiro Murayama, Shelley Stall, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.