Scientific data citation: Scoping Review
DOI:
https://doi.org/10.5007/1518-2924.2020.e72153Keywords:
Scientific data citation, Metrics, Scientific data management, Scoping reviewAbstract
Objective: This paper investigates the meaning assigned to data citation in order to follow the evolution of studies related to data citation, it tries to answer: 1) What are the motivations of researchers to cite scientific data?; 2) What are the data citation practices presented by the areas covered by this study?; 3) What are the metric analysis for data citation?
Methods: It is a qualitative and descriptive research, being a scoping review of literature, by searching the Emerald, LISA, LIST, Scopus and Web of Science databases.
Results: The studies investigated the correlation of citations increment to traditional publications by citing the data that supported them, many studies confirmed the correlation, others did not, and a common cause hypothesis arose: research quality associated with more resources. As for practices, the community is aware that current citations to data are not standardized, and there is a tendency to adopt a citation standard that meets the demands of different types of data. This lack of standard hinders the metric analysis of citation to scientific data that still needs to be explored in research, given that there is a repetition in using the same techniques of traditional citation for this new source of information.
Conclusions: Promoting the progress of science is the main advantage in making data available, but there are credit and technical difficulties that need to be tackled together by researchers, institutions, funding agencies, data repositories, and publishing editorial teams.
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References
ALTMAN, M. et al. An introduction to the joint principles for data citation. Bulletin of the American Society for Information Science and Technology, v. 41, n. 3, p. 43–45, fev. 2015. Disponível em: https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/bult.2015.1720410313. Acesso em: 19 ago. 2019.
ALTMAN, M.; MERCÈ CROSAS. The Evolution of Data Citation: From Principles to Implementation. IASSIST Quarterly, v. 37, n. 1, p. 62, 14 jun. 2013. Disponível em: https://iassistdata.org/sites/default/files/iqvol371_4_altman.pdf. Acessos em: 19 ago. 2019.
BELTER, Christopher W. Measuring the Value of Research Data: A Citation Analysis of Oceanographic Data Sets. PLoS ONE, [s. l.], v. 9, n. 3, p. e92590, 2014. Disponível em: https://dx.plos.org/10.1371/journal.pone.0092590. Acesso em: 22 jun. 2019.
BUNEMAN, P.; DAVIDSON, S.; FREW, J. Why data citation is a computational problem. Communications of the ACM, v. 59, n. 9, p. 50–57, 24 ago. 2016. Disponível em: https://dl.acm.org/citation.cfm?id=2893181. Acesso em: 19 ago. 2019.
CALLAGHAN, Sarah; LOWRY, Roy; WALTON, David. Data Citation and Publication by NERC’s Environmental Data Centres.Ariadne: Web Magazine for Information Professionals, n. 68, 2012. Disponível em: http://www.ariadne.ac.uk/issue/68/callaghan-et-al/. Acesso em: 24 jun. 2019.
CALLAGHAN, Sarah. Preserving the integrity of the scientific record: data citation and linking. Learned Publishing, [s. l.], v. 27, n. 5, p. 15–24, 2014. Disponível em: http://doi.wiley.com/10.1087/20140504. Acesso em: 24 jun. 2019.
CODATA Task Group on Data Citation Standards and Practices, Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data, Data Science Journal, 2013, Vol. 12, https://doi.org/10.2481/dsj.OSOM13-043
COUSIJN, Helena et al. A data citation roadmap for scientific publishers. Scientific Data, v. 5, p. 180-259, 2018. Disponível em: http://www.nature.com/articles/sdata2018259. Acesso em: 22 jun. 2019.
DATACITE. DataCite – Find, access and Reuse Data. 2019. Disponível em: https://www.datacite.org/. Acesso em: 22 jun. 2019.
DRYAD Digital Repository. Dryad Digital Repository (DRAYAD). 2019. Disponível em: http://datadryad.org/. Acesso em: 30 jul. 2019.
FIGSHARE. FigShare Credit for all Reseach. 2019. Disponível em: https://figshare.com/. Acesso em: 30 jul. 2019.
FORCE11, Data Citation Synthesis Group: Joint declaration of data citation principles, Martone, M. (ed) San Diego, CA. 2014, Disponível em: https://doi.org/10.25490/a97f-egyk. Acesso em: 14 ago. 2019.
FORCE, M. M.; ROBINSON, N. J. Encouraging data citation and discovery with the Data Citation Index. Journal of Computer-Aided Molecular Design, v. 28, n. 10, p. 1043–1048, 1 out. 2014. Disponível em: http://link.springer.com/10.1007/s10822-014-9768-5. Acesso em: 22 jun. 2019.
HERTERICH, P., DALLMEIER-TIESSEN, S. Data Citation Services in the High-Energy Physics Community. 2016, v. 22, n. 1/2, 1. https://doi.org/10.1045/january2016-herterich
HENDERSON, Tristan; KOTZ, David. Data Citation Practices in the CRAWDAD Wireless Network Data Archive. D-Lib Magazine, v. 21, n. 1/2, 2015. Disponível em: http://www.dlib.org/dlib/january15/henderson/01henderson.html.
JBI REVIEWER'S MANUAL. Disponível em: https://wiki.joannabriggs.org/m/view-rendered-page.action?abstractPageId=3178510. Acesso em: 19 jan. 2020.
LI, Kai; CHEN, Pei-Ying. The narrative structure as a citation context in data papers: A preliminary analysis of Scientific Data. Proceedings of the Association for Information Science and Technology, v. 55, n. 1, p. 856–858, 2018. Disponível em: http://doi.wiley.com/10.1002/pra2.2018.14505501147. Acesso em: 24 jun. 2019.
MAYERNIK, Matthew S. Data citation initiatives and issues. Bulletin of the American Society for Information Science and Technology, [s. l.], v. 38, n. 5, p. 23–28, 2012. Disponível em: http://doi.wiley.com/10.1002/bult.2012.1720380508. Acesso em: 24 jun. 2019.
MATHIAK, B., & BOLAND, K. Challenges in Matching Dataset Citation Strings to Datasets in Social Science. D-Lib Magazine, 21(1/2), 2015. https://doi.org/10.1045/january2015-mathiak
MOONEY, Hailey. A Practical Approach to Data Citation: The Special Interest Group on Data Citation and Development of the Quick Guide to Data Citation. IASSIST Quarterly, [s. l.], v. 37, n. 1, p. 71, 2013. Disponível em: https://iassistquarterly.com/index.php/iassist/article/view/240. Acesso em: ago. 2019.
MOONEY, H., & NEWTON, M. The Anatomy of a Data Citation: Discovery, Reuse, and Credit. Journal of Librarianship and Scholarly Communication, eP1035, 2012. https://doi.org/10.7710/2162-3309.1035 . Acesso em: ago. 2019.
NOVACESCU, Jenny et al. A Model for Data Citation in Astronomical Research Using Digital Object Identifiers (DOIs). The Astrophysical Journal Supplement Series, [s. l.], v. 236, n. 1, p. 20, 2018. Disponível em: http://stacks.iop.org/0067-0049/236/i=1/a=20?key=crossref.b275284de5e1758e81449761f021c029. Acesso em: 22 jun. 2019.
ONYANCHA, Omwoyo Bosire. Open Research Data in Sub-Saharan Africa: A Bibliometric Study Using the Data Citation Index. Publishing Research Quarterly, [s. l.], v. 32, n. 3, p. 227–246, 2016. Disponível em: http://link.springer.com/10.1007/s12109-016-9463-6. Acesso em: 14 maio 2019.
PARK, Hyoungjoo; WOLFRAM, Dietmar. An examination of research data sharing and re-use: implications for data citation practice. Scientometrics, Dordrecht, v. 111, n. 1, p. 443–461, 2017. Disponível em: http://link.springer.com/10.1007/s11192-017-2240-2. Acesso em: 25 abr. 2019.
PARK, H.; WOLFRAM, D. Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse. Journal of Informetrics, v. 13, n. 2, p. 574–582, maio 2019. Disponível em: https://www.sciencedirect.com/science/article/pii/S1751157718302372. Acesso em: 19 ago. 2019.
PARK, Hyoungjoo; YOU, Sukjin; WOLFRAM, Dietmar. Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields. Journal of the Association for Information Science and Technology, v. 69, n. 11, p. 1346–1354, 2018. Disponível em: http://doi.wiley.com/10.1002/asi.24049. Acesso em: 22 jun. 2019.
PAVLECH, Laura L. Data Citation Index. Journal of the Medical Library Association, v. 104, n. 1, p. 88–90, jan. 2016. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722655/pdf/mlab-104-01-88.pdf. Acesso em: 19 ago. 2019.
PETERS, Isabella et al. Research data explored: an extended analysis of citations and altmetrics. Scientometrics, [s. l.], v. 107, n. 2, p. 723–744, 2016. Disponível em: http://link.springer.com/10.1007/s11192-016-1887-4. Acesso em: 24 jun. 2019.
PIWOWAR, Heather A.; DAY, Roger S.; FRIDSMA, Douglas B. Sharing Detailed Research Data Is Associated with Increased Citation Rate. PLoS ONE, v. 2, n. 3, p. e308, 2007. Disponível em: https://dx.plos.org/10.1371/journal.pone.0000308. Acesso em: 14 maio 2019.
PIWOWAR, Heather A.; VISION, Todd J. Data reuse and the open data citation advantage. PeerJ, [s. l.], v. 1, p. e175, 2013. Disponível em: https://peerj.com/articles/175. Acesso em: 22 jun. 2019.
PRÖLL, S.; RAUBER, A. Asking the Right Questions - Query-Based Data Citation to Precisely Identify Subsets of Data. {ERCIM} News, n. 100, 2015. Disponível em: https://ercim-news.ercim.eu/en100/special/asking-the-right-questions-query-based-data-citation-to-precisely-identify-subsets-of-data. Acesso em: 19 ago. 2019.
ROBINSON-GARCÍA, N.; JIMÉNEZ-CONTRERAS, E.; TORRES-SALINAS, D. Analyzing data citation practices using the data citation index. Journal of the Association for Information Science and Technology, v. 67, n. 12, p. 2964–2975, dez. 2016. Disponível em: https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.23529. Acesso em 19 ago. 2019.
SAYÃO, Luís Fernando; SALES, Luana Farias. Dados abertos de pesquisa: ampliando o conceito de acesso livre. RECIIS, v. 8, n. 2, p. 76-92, jun. 2014. DOI:10.3395/reciis.v8i2.934.pt. Disponível em:
http://www.reciis.icict.fiocruz.br/index.php/reciis/article/download/611/1252. Acesso em: 09 ago. 2019.
SIEBER, J. E.; TRUMBO, B. E. (Not) giving credit where credit is due: Citation of data sets. Science and Engineering Ethics, v. 1, n. 1, p. 11–20, mar. 1995. Disponível em: https://link.springer.com/article/10.1007/BF02628694. Acesso em: 09 ago. 2019.
SILVA, F. C. C. Gestão de Dados Científicos. 1. ed. Rio de Janeiro: Interciência, 2019.
SILVELLO, Gianmaria. Theory and practice of data citation. Journal of the Association for Information Science and Technology, v. 69, n. 1, p. 6–20, 2018. Disponível em: https://search.proquest.com/docview/1977750042?accountid=146814. Acesso em: 09 ago. 2019.
SIMONS, N.; VISSER, K.; SEARLE, S. Growing Institutional Support for Data Citation: Results of a Partnership Between Griffith University and the Australian National Data Service. D-Lib Magazine, v. 19, nov. 2013. Disponível em: http://www.dlib.org/dlib/november13/simons/11simons.html. Acesso em: 19 ago. 2019.
WILKINSON et. al. The FAIR Guiding Principles for scientific data management and stewardship. Cientific Data, Nature, mar. 2016. Disponível em: https://www.nature.com/articles/sdata201618.pdf. Acesso em: 09 ago. 2019.
VAMDC CONSORTIUM. Presentation. 2019. Disponível em: http://www.vamdc.org/structure/presentation/. Acesso em: 24 jun. 2019.
ZHAO, Mengnan; YAN, Erjia; LI, Kai. Data set mentions and citations: A content analysis of full-text publications. Journal of the Association for Information Science and Technology, [s. l.], v. 69, n. 1, p. 32–46, 2018. Disponível em: http://doi.wiley.com/10.1002/asi.23919. Acesso em: 24 jun. 2019.
ZENODO. Zenodo Research Shared. 2019. Disponível em: https://zenodo.org/. Acesso em: 30 jul. 2019.
ZWÖLF, Carlo Maria et al. Implementing in the VAMDC the New Paradigms for Data Citation from the Research Data Alliance. Data Science Journal, [s. l.], v. 18, 2019. Disponível em: http://datascience.codata.org/articles/10.5334/dsj-2019-004/.
ZWÖLF, Carlo Maria; MOREAU, Nicolas; DUBERNET, Marie-Lise. New model for datasets citation and extraction reproducibility in VAMDC. Journal of Molecular Spectroscopy, [s. l.], v. 327, p. 122–137, 2016. Disponível em:
https://linkinghub.elsevier.com/retrieve/pii/S0022285216300613. Acesso em: 24 jun. 2019.
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