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Implementação de serviços institucionais de administração de dados | Implementation of Institutional Data Stewardship Services

Implementation of Institutional Data Stewardship Services

RESUMO As tarefas de gestão de dados de pesquisa ao longo do processo de pesquisa têm se tornado muito importantes devido à alta produção de dados e à exigência da sua preservação. Tanto bibliotecas quanto seções de apoio à pesquisa de diversas instituições de ensino e pesquisa têm começado a implementar serviços para a gestão de dados e a profissionalização desta gestão. Com um caráter qualitativo, e após um levantamento bibliográfico em bases de dados abertas, contextualiza-se a gestão de dados de pesquisa, analisam-se os perfis profissionais e determinam-se três fases para a implementação institucional destes serviços: elaboração de uma política, estabelecimento de uma unidade de informação e integração de profissionais da gestão de dados.Palavras-chave: Administração de Dados; Dados de Pesquisa; Gestão de Dados de Pesquisa; Política de Dados; Serviços Institucionais.   ABSTRACT The tasks of managing research data throughout the research process have become very important due to the high production of data and the requirement for its preservation. Both libraries and research support sections of various research institutions have started to implement services for data management and the professionalization of this management. With a qualitative character, and after a bibliographic search in open databases, research data management is contextualized, professional profiles are analyzed, and three phases are determined for the institutional implementation of these services: the elaboration of a policy, the establishment of an information unit and the integration of data management professionals.Keywords: Data Stewardship; Research Data; Research Data Management; Data Policy; Institutional Services.@pt


ABSTRACT The tasks of managing research data throughout the research process have become very important due to the high production of data and the requirement for its preservation. Both libraries and research support sections of various research institutions have started to implement services for data management and the professionalization of this management. With a qualitative character, and after a bibliographic search in open databases, research data management is contextualized, professional profiles are analyzed, and three phases are determined for the institutional implementation of these services: the elaboration of a policy, the establishment of an information unit and the integration of data management professionals.Keywords: Data Stewardship; Research Data; Research Data Management; Data Policy; Institutional Services.@en

. Implementação de serviços institucionais de administração de dados | implementation of institutional data stewardship services. Liinc em revista, [????].

References

  • ALCALÁ PONCE DE LEÓN, M. A.., ANGLADA I DE FERRER, L. From open access to open data: collaborative work in the university libraries of Catalonia. Liber Quartely, v. 28, p. 1-14, 2018. Disponível em: http://doi.org/10.18352/lq.10253 . Acesso em: 01 jul. 2019.
  • BARBA, L. A. Terminologies for reproducible research: ArXiv:1802.03311 [cs], ArXiv: 1802.03311, 9 fev. 2018. Disponível em: http://arxiv.org/abs/1802.03311.
  • BLASK, K.., FÖRSTER, A. Designing an information architecture for data management technologies: introducing the DIAMANT model. Journal of Librarianship and Information Science, p. 1-9, http://journals.sagepub.com/doi/10.1177/0961000619841419 . Acesso em: 01 jul. 2019.
  • BORGMAN, C. L. Data, disciplines, and scholarly publishing. Learned Publishing, v. 21, n. 1, p. 29-38, 2008. Disponível em: http://doi.wiley.com/10.1087/095315108X254476 . Acesso em: 01 jul. 2019.
  • BRADLEY-RIDOUT, G. Preferred but not required: examining research data management roles in Health Science Librarian Positions. Journal of the Canadian Health Libraries Association / Journal de l’Association des bibliothèques de la santé du Canada, v. 39, n. 3, 138-145, 2018. https://journals.library.ualberta.ca/jchla/index.php/jchla/article/view/29368.
  • CALLAGHAN, S.., DONEGAN, S.., PEPLER, S.., THORLEY, M.., CUNNINGHAM, N.., KIRSCH, P.., AULT, L.., BELL, P.., BOWIE, R.., LEADBETTER, A.., LOWRY, R.., MONCOIFFÉ, G.., HARRISON, K.., SMITH-HADDON, B.., WEATHERBY, A.., WRIGHT, D. Making data a first class scientific output: data citation and publication by NERC’s environmental data centres. International Journal of Digital Curation, v. 7, n. 1, p. 107-113, 2012. Disponível em: http://www.ijdc.net/article/view/208 . Acesso em: 01 jul. 2019.
  • CATAR. Qatar Ministry of Information and Communications Technology. Data policy. 2015. http://www.motc.gov.qa/sites/default/files/data_management_policy.pdf. Acesso
  • CHEN, X. et al. Open is not enough. Nature Physics, v. 15, n. 2, p. 113-119, 2019. Disponível em: https://doi.org/10.1038/s41567-018-0342-2. Acesso em: 01 jul. 2019.
  • COÖPERATIE SURF. A national strategy for research data management. 2018. Disponível em: https://www.lcrdm.nl/en. Acesso em: 01 jul. 2019.
  • COSTA, M. M. Diretrizes para uma política de gestão de dados científicos no Brasil. 2017. Disponível em: http://repositorio.unb.br/handle/10482/24895. Acesso em: 01 jul. 2019.
  • DALLMEIER-TIESSEN, S.., LAVASA, A.., HERTERICH, P.., RUEDA, L.., KOTARSKI, R.., NEWBOLD, E. A comparative analysis of disciplinary data management workflows. In: IEEE/ACM JOINT CONFERENCE ON DIGITAL LIBRARIES 2014, London, United Kingdom. Electronic proceedings
  • [...]. http://ieeexplore.ieee.org/document/6970180/. Acesso em: 01 jul. 2019.
  • DIJKERS, M. P. A beginner’s guide to data stewardship and data sharing. Spinal Cord, v. 57, n. 3, p. 169-182, 2019. Disponível em: http://www.nature.com/articles/s41393-0180232-6. Acesso em: 01 jul. 2019.
  • EUROPEAN COMMISSION. Guidelines on FAIR data management in Horizon 2020. 2016. http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h 2020-hi-oa-data-mgt_en.pdf. Acesso em: 01 jul. 2019.
  • FEDERER, L. Defining data librarianship: a survey of competencies, skills, and training. Journal of the Medical Library Association, v. 106, n. 3, 2018. Disponível em: http://jmla.pitt.edu/ojs/jmla/article/view/306. Acesso em: 01 jul. 2019.
  • FRANÇA. French Minister of Higher Education, Research and Innovation. National plan for open science. [S.l: s.n.], 2019. Disponível em: https://libereurope.eu/wpcontent/uploads/2018/07/SO_A4_2018_05-EN_print.pdf. Acesso em: 01 jul. 2019.
  • FUNDAÇÃO OSWALDO CRUZ. Grupo de Trabalho em Ciência Aberta. Termo de referência: gestão e abertura de dados para pesquisa na Fiocruz. Rio de Janeiro: FIOCRUZ/Presidência, 2018.
  • HIGMAN, R.., BANGERT, D.., JONES, S. Three camps, one destination: the intersections of research data management, FAIR and Open. Insights the UKSG Journal, v. 32, p. 18, 2019. Disponível em: http://insights.uksg.org/articles/10.1629/uksg.468/. Acesso em: 01
  • JANSEN, P.., VAN DEN BERG, L.., VAN OVERVELD, P.., BOITEN, J.-W. Research data stewardship for healthcare professionals. In: KUBBEN, P.., DUMONTIER, M.., DEKKER, A. (ed.). Fundamentals of clinical data science. Cham: Springer International Publishing, 2019. p. 37-53. Disponível em: https://doi.org/10.1007/978-3-319-99713-1_4. Acesso em: 01 jul. 2019.
  • KENNAN, M. A. Data management: knowledge and skills required in research, scientific and technical organisations. In: IFLA CONFERENCE 2016 2016, Colombus. Proceedings [...] 2016.
  • KINGDON, J. W. Agendas, alternatives, and public policies. Harlow: Pearson, 1984.
  • LEARN. Model policy for Research Data Management (RDM) at research institutions/institutes: LEARN Toolkit of best practice for research data management. 2017. Disponível em: http://discovery.ucl.ac.uk/1546518/. Acesso em: 01 jul. 2019.
  • MÉNDEZ, E. RDA, la otra RDA: la Research Data Alliance. Cuando ‘FAIR’ es algo más que ‘justo’. Anuario ThinkEPI, v. 12, p. 378, 2018. Disponível em: https://recyt.fecyt.es/index.php/ThinkEPI/article/view/thinkepi.2018.63. Acesso em: 01
  • MIKSA, T.., SIMMS, S.., MIETCHEN, D.., JONES, S. Ten principles for machine-actionable data management plans. PLOS Computational Biology, v. 15, n. 3, p. e1006750, 2019. Disponível em: http://dx.plos.org/10.1371/journal.pcbi.1006750 . Acesso em: 01 jul.
  • MONS, B. Data stewardship for open science: implementing FAIR principles. 2018. Disponível em: https://www.taylorfrancis.com/books/9781498753180. Acesso em: 01
  • PENG, G. The State of assessing data stewardship maturity: an overview. Data Science Journal, v. 17, 2018. Disponível em: http://datascience.codata.org/articles/10.5334/dsj2018-007/. Acesso em: 01 jul. 2019.
  • PENG, R. The reproducibility crisis in science: a statistical counterattack. Significance, v. 12, n. 3, p. 30-32, 2015. Disponível em: http://doi.wiley.com/10.1111/j.17409713.2015.00827.x. Acesso em: 01 jul. 2019.
  • RICE, R.., SOUTHALL, J. The data librarian’s handbook. London: Facet Publishing, 2016.
  • SALES, L. F.., SAYÃO, L. F. Uma proposta de taxonomia para dados de pesquisa. Conhecimento em Ação, v. 4, n. 1, p. 31-48, 2019. Disponível em: https://revistas.ufrj.br/index.php/rca/article /view/26337/14573. Acesso em: 01 jul. 2019.
  • SAVAGE, J. L.., CADWALLADER, L. Establishing, developing, and sustaining a community of data champions. Data Science Journal, v. 18, p. 23, 2019. Disponível em: http://datascience.codata.org/articles/10.5334/dsj-2019-023/. Acesso em: 01 jul. 2019
  • SCHIRRWAGEN, J.., CIMIANO, P.., AYER, V.., PIETSCH, C.., WILJES, C.., VOMPRAS, J.., PIEPER, D. Expanding the research data management service portfolio at Bielefeld University: according to the three-pillar principle towards data FAIRness. Data Science Journal, v. 18, 2019. Disponível em: http://datascience.codata.org/articles/10.5334/dsj2019-006/. Acesso em: 01 jul. 2019.
  • SNIPES, G. Everyone’s a data librarian now. Journal of New Librarianship, v. 3, n. 1, p. 28–31, 2018. Disponível em: http://www.newlibs.org/article/3240-everyone-s-a-datalibrarian-now. Acesso em: 01 jul. 2019.
  • TAMMARO, A. M.., CASAROSA, V. Research data management in the curriculum: an interdisciplinary approach. Procedia Computer Science, v. 38, p. 138-142, 2014. https://linkinghub.elsevier.com/retrieve/pii/S1877050914013830. Acesso em: 11 mar. 2019. Acesso em: 01 jul. 2019.
  • TENOPIR, C.., SANDUSKY, R. J.., ALLARD, S.., BIRCH, B. Research data management services in academic research libraries and perceptions of librarians. Library and Information Science Research, v. 36, n. 2, p. 84-90, 2014. Disponível em: https://linkinghub.elsevier.com/retrieve/pii/S0740818814000255. Acesso em: 01 jul.
  • VERHEUL, I.., IMMING, M.., RINGERMA, J.., MORDANT, A.., PLOEG, J.-L. Van der., PRONK, M. Data Stewardship on the map: a study of tasks and roles in Dutch research institutes. Zenodo, 2019. Disponível em: https://zenodo.org/record/2669149. Acesso
  • WANG, Y. Engaging with RDM through a PhD course on academic integrity and open science at UiT The Arctic University of Norway. In: CLARE, C. et al. Engaging researchers with data management: the cookbook. [S.l.]: Open Book Publishers, 2019.
  • WHYTE, A.., TEDDS, J. Making the case for research data management: DCC briefing papers. Edinburgh: Digital Curation Centre. 2011. http://www.dcc.ac.uk/resources/briefing-papers. Acesso em: 01 jul. 2019.
  • WILJES, C.., CIMIANO, P. Teaching research data management for students. Data Science Journal, v. 18, p. 38, 13 ago. 2019. Disponível em: http://datascience.codata.org/articles/10.5334/dsj-2019-038/. Acesso em: 20 out. 2019.
  • WILKINSON, M. D. et al. The FAIR guiding principles for scientific data management and stewardship. Scientific Data, v. 3, p. 160018, 2016. Disponível em: https://doi.org/10.1038/sdata.2016.18. Acesso em: 01 jul. 2019.
  • XIA, J.., WANG, M. Competencies and responsibilities of social science data librarians: an analysis of job descriptions. College and Research Libraries, v. 75, n. 3, p. 362-388, 2014. Disponível em: http://crl.acrl.org/index.php/crl/article/view/16367. Acesso em: 01
  • YORK, J.., GUTMANN, M.., BERMAN, F. What do we know about the stewardship gap. Data Science Journal, 17, http://datascience.codata.org/articles/10.5334/dsj-2018-019/. Acesso em: 01 jul. 2019.
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