Proposal for a model of research data management service
DOI:
https://doi.org/10.5380/atoz.v11i0.85765Keywords:
Research data management services, FAIR data, Scientific knowledge management.Abstract
The planning, development, implementation, and operation of research data management platforms involves many variables that need to be properly addressed. The design of these platforms constitutes a complex and multifaceted problem, of which the solution needs to be manifested in the form of services that meet the needs of research flows in specific disciplinary domains, informational, technological and scientific parameters, varied professional profiles, political, legal and ethical constraints, and economic and temporal sustainability. In this multifaceted environment of contemporary science, the question we intend to answer is: What types of data management services can be offered based on the workflows of the scientific environment, considering the peculiarities of the disciplinary domains and serving as a support mechanism for the development of research and encouraging the sharing and reuse of scientific data? As an answer to the question, theoretical-exploratory research was developed that took as a methodological basis the analysis of the literature in the area, with special emphasis on articles, reports, manuals and data infrastructure projects, prepared by researchers and research institutions, giving prominence to the observation points of the actors most closely involved in the issue. From the interrelationship of the diverse variables raised, the result is the description of a set of services that can be offered, organized in a service model. It is hoped that this model can serve as a guide for research institutions that wish to implement data management platforms closer to their communities and that follow the standards and traditions of sharing and reusing scientific data from their researchers.
References
Borgman, C. L. (2007). Data: the input and output of scholarship. In Borgman, C. L. (2007) Scholarship in the Digital Age: Information, Infrastructure, and the Internet. London: The MIT Press. doi: 10.7551/mitpress/7434.003.0009
Choudhury, S., Cowles, E., Croft, H. R., Estlund, K., Fary, M., Faustino, G., Hauser, T., Linton, A., Lynch, C., Menard, K., Menor, D., Mônaco, G. E., Nooman, D., Shreeves, S., Ulate, D., & Waters, N. (2018). Research data curation: a framework for an institution-wide services approach. Retirado de https://hsrc.himmelfarb.gwu.edu/libfacpubs/35
Coates, H. L. (2014). Building data services from the ground up: strategies and resources. Journal of eScience Librarianship, 3(1), 52-59. doi: 10.7191/jeslib.2014.1063
European Commission (2020). Six recommendations to implementation of FAIR practices. Bruxelas: European Commission. doi: 10.2777/986252
Erway, R., Horton, L., Nurnberger, A., Otsuji, R., & Rushing, A. (2016). Building blocks: laying the foundation for a research data management program. Dublin: OCLC. Retirado de https://files.eric.ed.gov/fulltext/ED589141.pdf
Fearon Jr., D., Gunia, B. Pralle, B. E., Lake, S., & Sallans, A. L. (2013). SPEC Kit 334: Research data management services. Washington, DC: Association of Research Libraries. doi: 10.29242/spec.334
Gil, A. C. (2002). Como elaborar projetos de pesquisa. 4a ed. São Paulo: Atlas.
Graaf, M. van der & Waaijers, L. (2011). A surfboard for riding the wave: towards a four country action programme on research data. Copenhagen: Knowledge Exchange. Retirado de http://hdl.voced.edu.au/10707/183860
Jones, S., Prior, G. & White, A. (2013). How to develop research data management services – a guide for HEIs. Edinburgh: Digital Curation Centre. Retirado de https://www.dcc.ac.uk/guidance/how-guides/how-develop-rdm-services
Kouper, I., Fear, K., Ishida, M., Kollen, C., & Williams, S. C. (2017). Research Data Services Maturity in Academic Libraries. In L. R. Johnston (ed.). Curating research data: practical strategies for your digital repository. (vol. 1, pp. 153-170). Chicago: Association of College and Research Libraries. Retirado de https://experts.illinois.edu/en/publications/research-data-services-maturity-in-academic-libraries
Leonardi, P. M. (2010). Digital materiality? How artifacts without matter, matter. First Monday, 15(6-7). doi: 10.5210/fm.v15i6.3036
Marín-Arraiza, P., & Vidotti, S. (2019). Implementação de serviços institucionais de administração de dados. Liinc em Revista, 15(2). doi: 10.18617/liinc.v15i2.4819
Mayernik, M. S., Choudhury, G. S., DiLauro, T., Metsger, E., Pralle, B., Rippin, M., & Duerr, R. (2012). The data conservancy instance: infrastructure and organizational services for research data curation. D-Lib Magazine, 18(9-10). doi:10.1045/september2012-mayernik
Mons, B., Neylon, C., Velterop, J., Dumontier, M., Santos, L. O. B. da S., & Wilkinson, M. D. (2017). Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud. Information Services & Use, 37(1), 49-56. doi: 10.3233/ISU-170824
Mushi, G. E., Pienaar, H., & Deventer, M. van. (2020). Identifying and implementing relevant research data management services for the library at the University of Dodoma, Tanzania. Data Science Journal, 19(1), 1-9. doi: 10.5334/dsj-2020-001
National Research Council. (2015). Preparing the workforce for digital curation. Washington, D.C.: The National Academies Press. doi: 10.17226/18590.
Reed, R. B. (2015). Diving into data: Planning a research data management event. Journal of Escience Librarianship, 4(1). doi: 10.7191/jeslib.2015.1071
Sayão, L. F. (2001). Modelos teóricos em ciência da informação - abstração e método científico. Ciência da informação, 30(1), 82-91. doi: 10.1590/S0100-19652001000100010
Sayão, L. F., & Sales, L. F. (2020). Afinal, o que é dado de pesquisa? BIBLOS, 34(2). Recuperado de https://www.seer.furg.br/biblos/article/view/11875
Solomonides, A. (2019). Research data governance, roles, and infrastructure: methods and applications. In R. L. Richesson, & J. E. Andrews (Ed.), Clinical Research Informatics (291-310). Cham: Springer. doi: 10.1007/978-3-319-98779-8_14
Strasser, C. (2015). Research data management. Baltimore: NISO. Retirado de https://wiki.lib.sun.ac.za/images/2/24/PrimerRDM-2015-0727.pdf
Tang, R. & Hu, Z. (2019). Providing Research Data Management (RDM) Services in Libraries: Preparedness, Roles, Challenges, and Training for RDM Practice. Data and Information Management, 3(2), 84-101. doi: 10.2478/dim-2019-0009
Tenopir, C., Birch, B. & Allard, S. (2012). Academic libraries and research data services: Current practices and plans for the future. Chicago, IL: Association of College and Research Libraries. Retirado de https://trace.tennessee.edu/utk_dataone/20/
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J-W., Santos, L. B. da S., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific data, 3(1), 1-9. doi: 10.1038/sdata.2016.18
Wilson, J. A. J., Martinez-Uribe, L., Fraser, M. A., & Jeffreys, P. (2011). An institutional approach to developing research data management infrastructure. The International Journal of Digital Curation, 6(2). doi: 10.2218/ijdc.v6i2.203
Downloads
Published
How to Cite
Issue
Section
License
Atoz is a open access journal and the authors have permission and are encouraged to deposit their papers in personal web pages, institutional repositories or portals before (pre-print) or after (post-print) the publication at AtoZ. It is just asked, when and where possible, the mention, as a bibliographic reference (including the atributted URL), to the AtoZ Journal.
The authors license the AtoZ for the solely purpose of disseminate the published work (peer reviewed version/post-print) in aggregation, curation and indexing systems.
The AtoZ is a Diadorim/IBICT green academic journal.
All the journal content (including instructions, editorial policies and templates) - except where otherwise indicated - is under a Creative Commons Attribution 4.0 International, since October 2020.
When published by this journal, articles are free to share (copy and redistribute the material in any support or format for any purpose, even commercial) and adapt (remix, transform, and create from the material for any purpose , even if commercial). You must give appropriate credit , provide a link to the license, and indicate if changes were made
AtoZ does not apply any charges regarding manuscripts submission/processing and papers publication.
























