Dataset identifiers para a comunicação em ciência
exploração e propostas
Keywords:
Dados abertos, Datasets, Dataset identifiers, MetainformaçãoAbstract
Os estudos sobre a Ciência desenvolvidos no âmbito de iniciativas da Ciência Aberta (CA) permitiram elucidar problemas como o inflacionamento e enviesamento de rankings de pesquisas de publicações (Young, 2008) e as limitações em termos de reprodutibilidade devido aos dados não serem distribuídos com as publicações (Kraker, 2011). A CA pretende abrir o processo de investigação, ao defender a reprodução dos resultados da investigação, uma metodologia de investigação transparente, e assim aumentar o impacto social do investigador e economizar tempo e dinheiro dos investigadores e das instituições de investigação (RIN/NESTA, 2010). Recorre para tal a instrumentos e/ou componentes denominados de acesso aberto (uma forma de tornar os resultados de investigação disponíveis), dados abertos (como uma maneira de publicar os dados em bruto), código aberto (como uma maneira de dar acesso a protótipos de investigação), a metodologia aberta (como uma forma de partilha dos detalhes metodológicos do estudo e das ferramentas utilizadas para a recolha e análise de dados), investigação reprodutível aberta (o ato de praticar CA para permitir a reprodutibilidade independente dos resultados da investigação), avaliação pelos pares aberta (garantia de qualidade transparente e verificável através de revisão aberta), recursos educacionais abertos (usar materiais livres e abertos para a educação e o ensino universitário) (Kraker, 2011; Pontika, 2015; Kasberger, 2013).
References
Accomazzi, A. (2011), “Linking literature and data: Status report and future efforts”, Future Professional Communication in Astronomy II, Springer, pp. 135–142.
Accomazzi, A., Derriere, S., Biemesderfer, C. and Gray, N. (2011), “Why don’t we already have an Integrated Framework for the Publication and Preservation of all Data Products?”, arXiv Preprint arXiv:1112.1688, available at: http://arxiv.org/abs/1112.1688 [Acedido em 27 de julho de 2017].
Adamich, T. (2016), “Accessing Scholarly Research Datasets using DataCite, ORCID, and CASRAI.”, Technicalities, Vol. 36 No. 3, pp. 18–21.
Altman, M. and Crosas, M. (2013), “The evolution of data citation: From principles to implementation.”, IAssist Quarterly, Vol. 37 No. 1–4, pp. 62–70.
American Psychological Association [APA]. (2010). Publication Manual of the American Psychological Association. 6ª Ed. Washington D.C. APA
AROVELIUS, R. and others. (2010), “Management and preservation of scientific records and data”, International Council on Archives: Paris, pp. 11–12.
Australian National Data Service [ANDS]. [s/d]. Data citation awareness guide. http://www.ands.org.au/guides/data-citation-awareness . [Acedido em 27 de julho de 2017]
Ball, A. & Duke, M. (2015). ‘How to Cite Datasets and Link to Publications’. DCC How-to Guides. Edinburgh: Digital Curation Centre. Available online: http://www.dcc.ac.uk/resources/how-guides [Acedido em 27 de julho de 2017]
Benson, D.A., Karsch-Mizrachi, I., Clark, K., Lipman, D.J., Ostell, J. and Sayers, E.W. (2012), “GenBank”, Nucleic Acids Research, Vol. 40 No. D1, pp. D48–D53.
"Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities". (2003). Berlim. Max Planck Geselschaft, http://openaccess.mpg.de/Berlin-Declaration. [Acedido em 27 de julho de 2017]
Brown, P. et al. (2003). "Bethesda Statement on Open Access Publishing". http://www.earlham.edu/~peters/fos/bethesda.htm [Acedido em 27 de julho de 2017]
Borgman, C.L. (2011), “The Conundrum of Sharing Research Data”, Journal of the American Society for Information Science and Technology, Vol. 63 No. 6, pp. 1059–1078.
Borgman, C. (2012), “Why Are the Attribution and Citation of Scientific Data Important?”, in Uhlir, P.E. and others. (2012), For Attribution–Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop, National Academies Press, pp 1-8
Brase, J. and Farquhar, A. (2011), “Access to Research Data”, D-Lib Magazine, Vol. 17 No. 1/2, available at: http://doi.org/10.1045/january2011-brase. [Acedido em 27 de julho de 2017]
Brase, J. (2013), “DataCite and linked data”, JLIS. It, Vol. 4 No. 1, p. 365.
Brase, J., Lautenschlager, M. and Sens, I. (2015), “The Tenth Anniversary of Assigning DOI Names to Scientific Data and a Five Year History of DataCite”, D-Lib Magazine, Vol. 21 No. 1/2, available at: http://doi.org/10.1045/january2015-brase. [Acedido em 27 de julho de 2017]
Buckland, M. (2011), “Data Management as Bibliography.”, Bulletin of the American Society for Information Science & Technology, Vol. 37 No. 6, pp. 34–37.
Budapest Open Access Initiative. (2002). Declaration after the Open Society Institute meeting in Budapest December 1-2 2001. Budapest: Open Society Institute. http://www.soros.org/openaccess/read.shtml. [Acedido em 27 de julho de 2017]
Chavan, V. and Penev, L. (2011), “The data paper: a mechanism to incentivize data publishing in biodiversity science”, BMC Bioinformatics, Vol. 12 No. 15, p. 1.
Comissão Europeia. (2012). Commission recommendation on access to and preservation of scientific information. Bruxelas. Comissão Europeia.
Corporation for National Research Initiatives (CNRI) (2015) http://www.cnri.reston.va.us/. [Acedido em 27 de julho de 2017]
Crosas, M. (2011), “The Dataverse Network®: An Open-Source Application for Sharing, Discovering and Preserving Data”, D-Lib Magazine, Vol. 17 No. 1/2, available at http://doi.org/10.1045/january2011-crosas. [Acedido em 27 de julho de 2017]
Crosscite (2016) : http://www.crosscite.org/cn. [Acedido em 27 de julho de 2017]
Dallmeier-Tiessen, S., Darby, R., Gitmans, K., Lambert, S., Suhonen, J. and Wilson, M. (2012), “Compilation of results on drivers and barriers and new opportunities”, available at: http://epic.awi.de/31394/ [Acedido em 27 de julho de 2017].
Data Citation Synthesis Group (2014), ”Joint Declaration of Data Citation Principles”. Martone M. (ed.) San Diego CA: FORCE11. Disponível em https://www.force11.org/group/joint-declaration-data-citation-principles-final. [Acedido em 27 de julho de 2017].
DataCite, (2016) www.datacite.org [Acedido em 27 de julho de 2017].
DataCite Metadata Store (MDS), (2015) http://mds.datacite.org/. [Acedido em 27 de julho de 2017].
DGARQ (2012), “Metainformação para a Interoperabilidade (MIP)”, disponível em http://arquivos.dglab.gov.pt/wp-content/uploads/sites/16/2013/10/MIP_v1-0c.pdf [Acedido em 27 de julho de 2017]
Digital object identifier (DOI) system (2016) http://www.doi.org/ [Acedido em 27 de julho de 2017]
Ginsparg, P. (2009), “Text in a Data-centric World”, The Fourth Paradigm: Data-Intensive Scientific Discovery., Microsoft Research, Redmond, Washington, pp. 185–191.
Graaf, M., van der; Waaijers, L. (2011). A surfboard for riding the wave. towards a four country action programme on research data. Disponível em: http://www.umic.pt/images/stories/publicacoes5/KE_Surfboard_Riding_the_Wave_Screen.pdf [Acedido em 27 de julho de 2017]
GT-BES. (2015). Recomendações para as bibliotecas de ensino superior. Lisboa: Associação Portuguesa de Bibliotecários, Arquivistas e Documentalistas; 2015.
Harvey, M.J., Mason, N.J., McLean, A. and Rzepa, H.S. (2015), “Standards-based metadata procedures for retrieving data for display or mining utilizing persistent (data-DOI) identifiers”, Journal of Cheminformatics, Vol. 7 No. 1, available at:http://doi.org/10.1186/s13321-015-0081-7. [Acedido em 27 de julho de 2017]
Heidorn, P.B. (2011), “The Emerging Role of Libraries in Data Curation and E-science.”, Journal of Library Administration, Vol. 51 No. 7/8, pp. 662–672.
Hey, A.J.G., Tansley, S. and Tolle, K.M. (Eds.). (2009a), The Fourth Paradigm: Data-Intensive Scientific Discovery, Microsoft Research, Redmond, Washington.
Hey, A.J.G., Tansley, S. and Tolle, K.M. (2009b), “Jim Gray on eScience: A Transformed Scientific Method”, The Fourth Paradigm: Data-Intensive Scientific Discovery, Microsoft Research, Redmond, Washington, pp. xvi–xxxi.
Ingwersen, P. and Chavan, V. (2011), “Indicators for the Data Usage Index (DUI): an incentive for publishing primary biodiversity data through global information infrastructure”, BMC Bioinformatics, Vol. 12 No. 15, p. 1.
Ingwersen, P. (2014), “Scientific Datasets: Informetric Characteristics and Social Utility Metrics for Biodiversity Data Sources”, in Chen, C. and Larsen, R. (Eds.), Library and Information Sciences, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 107–117.
ISO 19115 (2003): Geographic Information — Metadata. International Organization of Standards. Version: ISO 19115:2003
Kasberger, S. (2013), “Open Science”, openscienceASAP, 8 August, disponível em: http://openscienceasap.org/open-science/ [Acedido em 27 de julho de 2017].
Kraker, P., Leony, D., Reinhardt, W. and Beham, G. (2011), “The case for an open science in technology enhanced learning”, International Journal of Technology Enhanced Learning, Vol. 3 No. 6, pp. 643–654.
Kuipers, T. & Hoeven, J., van der. (2009). Insight into digital preservation of research output in europe. survey report, Disponível em: http://libereurope.eu/wp-content/uploads/2010/01/PARSE.Insight.-Deliverable-D3.4-Survey-Report.-of-research-output-Europe-Title-of-Deliverable-Survey-Report.pdf. [Acedido em 27 de julho de 2017]
Lopes, C.A. (2016), “Bibliotecas de ensino superior: Novas e saudáveis tendências”, XII Jornadas APDIS, pp. 1–10.
Lynch, C. (2009), “Jim Gray’s fourth paradigm and the construction of the scientific record”, The Fourth Paradigm: Data-Intensive Scientific Discovery, Microsoft Research, Redmond, Washington, pp. 177–183.
Metadata Exchange and Transmission Standard (METS). (2016) disponível em http:// www.loc.gov/standards/mets/ [Acedido em 27 de julho de 2017].
Molloy, J.C. (2011), “The Open Knowledge Foundation: Open Data Means Better Science.”, PLoS Biology, Vol. 9 No. 12, pp. 1–4.
Mooney, H. and Newton, M. (2012), “The Anatomy of a Data Citation: Discovery, Reuse, and Credit”, Journal of Librarianship and Scholarly Communication, Vol. 1 No. 1, available at:http://doi.org/10.7710/2162-3309.1035.
Murray-Rust, P. (2008), “Open Data in Science.”, Serials Review, Vol. 34 No. 1, pp. 52–64.
Murray-Rust, Peter; Neylon, Cameron; Pollock, Rufus; Wilbanks, John. (2010). Panton Principles: Principles for Open Data in Science. Disponível em: http://pantonprinciples.org/. [Acedido em 27 de julho de 2017]
NP 405-1. (1994). Informação e Documentação. Referências bibliográficas: documentos impressos. Lisboa: IPQ.
Object Reuse and Exchange (OAI-ORE) (2008), http://www.openarchives.org/ore/1.0/discovery [Acedido em 27 de julho de 2017]
Pampel, H. and Dallmeier-Tiessen, S. (2014), “Open Research Data: From Vision to Practice”, Opening Science, Springer, disponível em: http://book.openingscience.org/vision/open_research_data.html [Acedido em 27 de julho de 2017]
OCDE (2007). Principles and Guidelines for Access to Research Data from Public Funding. OECD.
Peng, G., Ritchey, N.A., Casey, K.S., Kearns, E.J., Privette, J.L., Saunders, D., Jones, P., et al. (2016), “Scientific Stewardship in the Open Data and Big Data Era — Roles and Responsibilities of Stewards and Other Major Product Stakeholders”, D-Lib Magazine, Vol. 22 No. 5/6, available at:http://doi.org/10.1045/may2016-peng.
Pfeiffenberger, H. and Carlson, D. (2011), “‘Earth System Science Data’ (ESSD) - A Peer Reviewed Journal for Publication of Data”, D-Lib Magazine, Vol. 17 No. 1/2, available at:http://doi.org/10.1045/january2011-pfeiffenberger.
Piwowar, H.A. and Vision, T.J. (2013), “Data reuse and the open data citation advantage”, PeerJ, Vol. 1, p. e175.
Pontika, N., Knoth, P., Cancellieri, M. and Pearce, S. (2015), “Fostering open science to research using a taxonomy and an eLearning portal”, ACM Press, pp. 1–8.
Poole, A. (2015), “How has your science data grown? Digital curation and the human factor: a critical literature review.”, Archival Science, Vol. 15 No. 2, pp. 101–139.
Ramapriyan, H., D. Moroni, e G. Peng (2015): Improving information quality for Earth Science data and products — An overview. #IN14A-01. AGU 2015 Fall Meeting, San Francisco, CA, USA
Reilly, S., Schallier, W., Schrimpf, S., Smit, E. and Wilkinson, M. (2011), “Report on integration of data and publications”, available at: http://epic.awi.de/31397/ [Acedido em 27 de julho de 2017]
RIN/NESTA. (2010), “Open to all? Case studies of openness in research”, available at: http://www.rin.ac.uk/system/files/attachments/NESTA-RIN_Open_Science_V01_0.pdf [Acedido em 27 de julho de 2017]
Socha, Y.M. (Ed.). (2013), “Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data”, Data Science Journal, Vol. 12, pp. 1–75.
Silvello, G. (2015), “A Methodology for Citing Linked Open Data Subsets”, D-Lib Magazine, Vol. 21 No. 1/2
Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A.U., Wu, L., Read, E., Manoff, M., et al. (2011), “Data Sharing by Scientists: Practices and Perceptions”, PLoS ONE, Vol. 6 No. 6, p. e21101.
Vision, T.J. (2010), “Open Data and the Social Contract of Scientific Publishing”, BioScience, Vol. 60 No. 5, pp. 330–331.
Wickett, K.M., Xiao, H. and Thomer, A. (2012), “The RDAP12 Summit: Challenges and Opportunities for Data Management.”, Bulletin of the American Society for Information Science & Technology, Vol. 38 No. 5, pp. 14–19.
Woutersen-Windhouwer, S. (Ed.). (2009), Enhanced Publications: Linking Publications and Research Data in Digital Repositories, Amsterdam Univ. Press, Amsterdam.
Young, N.S., Ioannidis, J.P. and Al-Ubaydli, O. (2008), “Why current publication practices may distort science. The market for exchange of scientific information: the winner’s curse, artificial scarcity, and uncertainty in biomedical publication”, PLoS Medicine, available at: http://files.figshare.com/454023/Text_S1.pdf [Acedido em 27 de julho de 2017]
