Yellow Fever Research Project
lifecycle and data type
DOI:
https://doi.org/10.18617/liinc.v15i2.4775Keywords:
Research Data, Research Data Life Cycle, Research Data ManagementAbstract
Research data are important inputs for the production of knowledge. The appropriate management and curation of these are ways to avoid the constant loss of data reported in the literature. Thus, this paper presents the modeling of the life cycles of research data and the classification of these as a way of guiding the promotion of good management practices and curation. Based on these assumptions, the data life cycle generated by the Yellow Fever Project - Fiocruz-Minas is modeled and the data are typified. In addition, weaknesses and possibilities for the management of research data of the Yellow Fever project are pointed out.
References
ATKINS, D. E. et al. Revolutionizing science and engineering through cyberinfrastructure - Report of the National Science Foundation Blue-Ribbon Advisory Panel on cyberinfrastructure. 2003.
BAUER, B. et al. Researchers and their data. Results of an Austria survey - Report 2015. 2015. Disponível em: https://phaidra.univie.ac.at/o:409318. Acesso em: 30 maio 2019.
BORGMAN, C. L. Research data: who will share what, with whom, when an why. RatSWD Working Paper, v. 161, n. 10, 2010. Disponível em: http://sydney.edu.au/research/data_policy/resources/ands_borgman_2010_rese-arch_data.pdf. Acesso em: 28 maio 2019.
CARLSON, J. The use of data lifecycle models in developing and supporting data services. In: RAY, J. M. Research Data Management: Practical Strategies for Information Professionals. Purdue University Press, 2014. p. 63-86.
COX, A. M.; PINFIELD, S. Research data management and libraries: current activities and future priorities. Journal of Librarianship and Information Science, v. 46, n. 4, p. 299–316, 2013.
DATAONE. Data management guide for public participation in scientific research. DataONE Public Participation in Scientific Research Working Group, Albuquerque. 2013.
DDI. The Data Documentation Initiative: an introduction for national statistical institutes. 2011. p. 1-10. Disponível em: http://odaf.org/papers/DDI_Intro_forNSIs.pdf. Acesso em: 28 jun. 2019.
FIOCRUZ. Grupo de Trabalho em Ciência Aberta. Termo de referência: gestão e abertura de dados para pesquisa na Fiocruz. Rio de Janeiro: FIOCRUZ/Presidência, 2018. 15p. Disponível em: <https://www.arca.fiocruz.br/handle/icict/26803>. Acesso em: 30 maio 2019.
GUPTA, S.; MÜLLER-BIRN, C. A study of e-Research and its relation with research data lifecycle: a literature perspective. Benchmarking: an International Journal, v. 25, n. 6, p. 1656-1680, 2018.
HEY, T., TANSLEY, S., TOLLE, K. (Eds.). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, 2009. Disponível em: http://research.microsoft.com/collaboration/fourthparadigm. Acesso em: 12 maio 2019.
HIGGINS, S. The DCC curation lifecycle model. The International Journal of Digital Curation, v. 3, n. 1, p. 134-140, 2008.
HOLTZBLATT, K.; JONES, S. Contextual inquiry: A participatory technique for system design. In: SCHULER, D.; NAMIOKA, A. (Ed.), Participatory design: principles and practices. Hillsdale, NJ: Lawrence Erlbaum Associates. 1993, p. 177-210.
ICPSR. Guide to social science data preparation and archiving: best practice throughout the data lifecycle. Inter-university Consortium for Political and Social Research (ICPSR),Institute for Social Research University of Michigan, Ann Arbor, MI. 2012.
IWGDD. Harnessing the power of digital data for science and society. Report of the Interagency Working Group on Digital Data (IWGDD) to the Committee on Science of the National Science and Technology Council. 2009.
LYON, L. Dealing with data: role, rigths, responsabilities and relationships. Consultancy Report, p. 1-65, 2007. Disponível em: http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing_with_data_report-final.pdf. Acesso em: 03 jul. 2019.
NATURE. Data’s shameful neglect. Nature -Editorial, v. 461, n. 7261, p. 145, 10 set. 2009.
NSF - National Science Board. Long-Lived Digital Data Collections: Enabling Research and Education in the 21st Century. Arlington, VA: National Science Foundation, 2005.
OCDE - ORGANIZAÇÃO PARA A COOPERAÇÃO E DESENVOLVIMENTO ECONÔMICO. Principles and guidelines for access to research data from public data. 2007. Disponível em: http://www.oecd.org/dataoecd/9/61/38500813.pdf. Acesso em: 17 jun. 2019.
OLIVER, G; HARVEY, R. Digital Curation. Chicago: American Library Association. 2017.
SALES, L. F.; SAYÃO, L. F. Uma proposta de taxonomia para dados de pesquisa. Conhecimento em Ação, Rio de Janeiro, v. 4, n. 1, 2019. Disponível em: https://revistas.ufrj.br/index.php/rca/article/view/26337/14573. Acesso em: 08 jul. 2019.
SAYÃO, L. F.; SALES, L. F. CURADORIA DIGITAL: um novo patamar para preservação de dados digitais de pesquisa. Informação e Sociedade: Estudos, João Pessoa, v. 22, n. 3, p.179-191, set./dez., 2012.
SAYÃO, L. F.; SALES, L. F. Guia de Gestão de Dados de Pesquisa para Bibliotecários e Pesquisadores. Rio de Janeiro: CNEN/IEN, 2015. Disponível em: http://www.cnen.gov.br/images/CIN/PDFs/GUIA_DE_DADOS_DE_PESQUISA.pdf. Acesso em: 22 jun. 2019.
UNIVERSITY OF LEEDS. Research data management explained. Disponível em: https://library.leeds.ac.uk/info/14062/research_data_management/61/research_data_management_explained. Acesso em: 30 jun. 2019.
USGS. The United States geological survey science data lifecycle model. Open-file Report nº 2013-1265, US Geological Survey (USGS), Reston, VA. 2013.
VAN den EYNDEN, V. et al. Managing and sharing data: a best practice guide for researchers. United Kingdom: Data Archive, University of Essex. 2011.
VANZ, S. A. de S. et al. Acesso aberto a dados de pesquisa no Brasil: práticas e percepções dos pesquisadores: relatório 2018. Disponível em: http://hdl.handle.net/10183/185195. Acesso em: 30 maio 2019.
VINES, T. H. et al. The availability of research data declines rapidly with article age. Current Biology, v. 24, n. 1, p. 94-97, 2014. Disponível em: https://www.cell.com/action/showPdf?pii=S0960-9822%2813%2901400-0. Acesso em: 03 jun. 2019.
WHYTE, A.; TEDDS, J. Making the case for research data management. Digital Curation Centre Briefing Papers. Edinburgh: JISC, 2011. Disponível em: http://www.dcc.ac.uk/resources/briefing-papers/making-case-rdm. Acesso em: 2 jul. 2019.
WISSIK, T.; ĎURČO, M. Research data workflows: from research data lifecycle models to institutional solutions. CLARIN Annual Conference 2015, Poland, v. 123, p. 94-107, 2016. Disponível em: http://www.ep.liu.se/ecp/123/008/ecp15123008.pdf. Acesso em: 03 jun. 2019.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Janicy Aparecida Pereira Rocha

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant Liinc em Revista the right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License.
The authors have permission and are encouraged to deposit their manuscripts and versios of record (VoR) in their personal web pages or institutional repositories, generic repositories etc., before (pre-print) or after (post-print) the publication in Liinc em Revista, according to its open access depositing policy registered in the Directory of Editorial Policies of Brazilian Journals (DIADORIM), kindly providing a link to the article published on Liinc's website.
Liinc em Revista, published by Instituto Brasileiro de Informação em Ciência e Tecnologia, is licensed under a Creative Commons Attribution 4.0 International License – CC BY 4.0