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| Full article title | Promoting data sharing among Indonesian scientists: A proposal of a generic university-level research data management plan (RDMP) |
|---|---|
| Journal | Research Ideas and Outcomes |
| Author(s) | Irawan, Dasapta, E.; Rachmi, Cut, N. |
| Author affiliation(s) | Institut Teknologi Bandung, Universitas Padjadjaran |
| Primary contact | Email: dasaptaerwin at outlook dot co dot id |
| Year published | 2018 |
| Volume and issue | 4 |
| Page(s) | e28163 |
| DOI | 10.3897/rio.4.e28163 |
| ISSN | 2367-7163 |
| Distribution license | Creative Commons Attribution 4.0 International |
| Website | https://riojournal.com/articles.php?id=28163 |
| Download | https://riojournal.com/article/28163/download/pdf/ (PDF) |
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Abstract
Every researcher needs data in their working ecosystem, but despite the resources (funding, time, and energy) they have spent to get the data, only a few are putting more real attention into data management. This paper mainly describes our recommendation of a research data management plan (RDMP) at the university level. This paper is an extension of our initiative, to be developed at the university or national level, while also in-line with current developments in scientific practices mandating data sharing and data re-use.
Researchers can use this article as an assessment form to describe the setting of their research and data management. Researchers can also develop a more detailed RDMP to cater to a specific project's environment. In this RDMP, we propose three levels of storage: offline working storage, offline backup storage, and online-cloud backup storage, located on a shared-repository. We also propose two kinds of cloud repository: a dynamic repository to store live data and a static repository to keep a copy of final data.
Hopefully, this RDMP could solve problems on data sharing and preservation, and additionally it could improve researchers' awareness about data management to increase the value and impact of their research efforts.
Keywords: research data management plan, open data, data sharing, data repository, reproducible research
Introduction
Good data management is capable of supporting scientific discovery[1], yet we have been observing a cultural barrier on data sharing.[2] More insights about data sharing and the diverse perceptions among scientists in various fields have been endlessly discussed.[3][4][5][6]
Every researcher needs data in their working ecosystem, but despite the resources (funding, time, and energy) they have spent to get the data, only a few are putting more real attention into data management.[7][8] A data management strategy is not just an administrative document; it also plays an important role in guiding researchers in storing, backing up, preserving, and sharing their research data in a proper and sustainable manner.
This paper describes a guideline to build a university-level research data management plan (RDMP) and how it can promote data sharing among scientists. This RDMP would be the first one to be developed at the university level in Indonesia. This project is in-line with current development in scientific practices mandating data sharing and data re-use. The goals of this RDMP project are to build awareness about data sharing and preservation to scientists, especially academic staffs, and to build a practical and simple tool to help them manage their research data. The goal of an RDMP project is to guide researchers in managing their data, including curating, storing, sharing, and preserving it for immediate and future use.
This RDMP proposal is largely extracted from our experience in developing RDMP for an international research collaboration funded by RCUK (Research Council UK).[9]
References
- ↑ Wilkinson, M.D.; Dumontier, M.; Aalbersberg, I.J. et al. (2016). "The FAIR Guiding Principles for scientific data management and stewardship". Scientific Data 3: 160018. doi:10.1038/sdata.2016.18.
- ↑ Davidson, J.; Jones, S.; Molloy, L. et al. (2014). "Emerging Good Practice in Managing Research Data and Research Information within UK Universities". Procedia Computer Science 33: 215–22. doi:10.1016/j.procs.2014.06.035.
- ↑ Tenopir, C.; Allard, S.; Douglass, K. et al. (2011). "Data sharing by scientists: Practices and perceptions". PLoS One 6 (6): e21101. doi:10.1371/journal.pone.0021101. PMC PMC3126798. PMID 21738610. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3126798.
- ↑ Tenopir, C.; Dalton, E.D.; Allard, S. et al. (2015). "Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide". PLoS One 10 (8): e0134826. doi:10.1371/journal.pone.0134826. PMC PMC4550246. PMID 26308551. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550246.
- ↑ van Panhuis, W.G.; Paul, P.; Emerson, C. et al. (2014). "A systematic review of barriers to data sharing in public health". BMC Public Health 14: 1144. doi:10.1186/1471-2458-14-1144. PMC PMC4239377. PMID 25377061. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239377.
- ↑ Wallis, J.C.; Rolando, E.; Borgman, C.L. (2013). "If we share data, will anyone use them? Data sharing and reuse in the long tail of science and technology". PLoS One 8 (7): e67332. doi:10.1371/journal.pone.0067332. PMC PMC3720779. PMID 23935830. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3720779.
- ↑ Irawan, D.E. (24 April 2018). "RDM policy and data archiving at university level -- technical bits -- an example from ITB". Figshare. https://figshare.com/articles/RDM_policy_and_data_archiving_at_university_level_--_technical_bits_--_an_example_from_ITB/6179084/1.
- ↑ Irawan, D.E. (19 September 2017). "A light introduction to research data management". Figshare. https://figshare.com/articles/A_light_introduction_to_research_data_management/5418694/1.
- ↑ Irawan, D.E.; Rachmi, C.N. (15 May 2018). "Promoting data sharing among Indonesian scientists: A proposal of generic university-level RDMP". Open Science Framework. https://osf.io/59vcn/.
Notes
This presentation is faithful to the original, with only a few minor changes to presentation, and grammar for improved readability. In some cases important information was missing from the references, and that information was added. The original article listed citations in alphabetical order, while this wiki lists them by order of appearance, by design.
