Information literacy for data reuse in the Social Sciences: requirements and competences
DOI:
https://doi.org/10.5433/1981-8920.2020v25n2p1Keywords:
Open Science, Research Data – reuse, Data LiteracyAbstract
Introduction: The scientific research environment has been impacted by the increase availability of research data in open access, however, researchers face difficulties in managing their own data as well as third parties’; especially in data reuse related matters. The relation of availability versus data management is more complex in the Social Sciences, whose data are heterogeneous and variable.Objective: Propose the necessary requirements and minimum data literacy skills for research data reuse.
Methodology: Based on a bibliographical background, it uses the NVivo as an analysis tool to support the content analysis techniques into three research instances. It compares (1) the selected conceptual frameworks of data literacy, it reuses (2) secondary datasets about researchers' behavior in reusing data, it identifies (3) in the Virtual Learning Environments what are the competencies for reuse purposes.
Results: It presents the necessary requirements and competences set for research data reuse and test its validity by adherence checking with the best practices recommended by the World Wide Web Consortium (W3C).
Conclusions: The proposal for 16 requirements for a virtual environment for literacy in the reuse of contextualized data in the area of Social Sciences and 37 competencies for researchers is consolidated. The main requirements are access, license and use, and essential competencies are the access rules, licenses types and how to use the available datasets, especially considering provenance, quality and reliability criteria.
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References
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BARDIN, L. Análise de conteúdo. Lisboa: edições 70, 1995.
BERGHMANS, S.; COUSIJN, H.; DEAKIN, G.; MEIJER, I.; MULLIGAN, A.; PLUME, A.; RIJCKE, S.; RUSHFORTH, A.; TATUM, C.; VAN LEEUWEN, T.; WALTMAN, L. Open Data: the researcher perspective - survey and case studies, 2017. Disponível em: https://data.mendeley.com/datasets/bwrnfb4bvh/1. Acesso em: 25 abr. 2017. doi: 10.17632/bwrnfb4bvh.1
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CARLSON, J. R.; JOHNSTON, L. R. Data Information Literacy: Librarians, Data, and the Education of a New Generation of Researchers. Indiana: Purdue University Press, 2015. p. 271. Disponível em: https://goo.gl/riC4Es. Acesso em: 12 dez. 2017.
CONSORTIUM OF EUROPEAN SOCIAL SCIENCE DATA ARCHIVES (CESSDA). Data in the social sciences. CESSDA DATA MANAGEMENT EXPERT GUIDE, CESSDA ERIC, Bergen, 2018. Disponível em: https://www.cessda.eu/DMGuide. Acesso em: 23 mar. 2019.
CORTI, L.; EYNDEN, V. V. D.; BISHOP, L.; WOOLLARD, M. Managing and Sharing Research Data: a Guide to Good Practice. 2 ed. Essex: UK Data Service, 2014. Disponível em: https://www.ukdataservice.ac.uk/managedata/handbook. Acesso em: 20 fev. 2019.
COURSERA. Research Data Management and Sharing. 2016. Disponível em: https://www.coursera.org/learn/data-management. Acesso em: 20 fev. 2019.
CREASER, C. Scholarly communication and access to research output. In: EVANS, W.; BAKER, D. Libraries and Society: role, responsibility and future in an age of change. Boston: EBSCO Publishing. 2011. p. 53-66.
CURTY, R. G.; CROWSTON, K.; SPECHT, A.; GRANT, B. W.; DALTON, E. D. Attitudes and norms affecting scientists’ data reuse. PloS one, v. 12, n. 12, 2017. Disponível em: https://doi.org/10.1371/journal.pone.0189288. Acesso em: 02 jan. 2018.
DATAONE. Education Modules. 2012. Disponível em: https://www.dataone.org/education-modules. Acesso em: 02 jul. 2018.
DIGITAL CURATION CENTER. DC 101 materials: Access and Reuse. 2004-2019. Disponível em: http://www.dcc.ac.uk/training/train-the-trainer/dc-101-training-materials. Acesso em: 31 jan. 2019.
ENGINEERING AND PHYSICAL SCIENCES RESEARCH COUNCIL. EPSRC policy framework on research data. Disponível em: https://epsrc.ukri.org/about/standards/researchdata/. Acesso em: 12 jun. 2020.
EUROPEAN COMMISSION. H2020 Programme. H2020 AGA – Annotated Model Grant Agreement. Version 2.1.1. 1 jul. 2016. p. 216-219. Disponível em: http://goo.gl/SXbKxE. Acesso em: 20 nov. 2016.
FACILITATE OPEN SCIENCE TRAINING FOR EUROPEAN RESEARCH. Open Science Learning Objectives, 2015. FOSTER Consortium Members. Disponível em: https://goo.gl/Lkm1XT. Acesso em: 20 jul.2016. p. 536-552. doi: 10.5281/zenodo.15603.
FECHER, B.; FRIESIKE, S. Open Science: one term five schools of thoughts. In: BARTLING, S.; FRIESIKE, S. Opening Science. New York: Springer International Publishing, 2014. p. 17–47. Disponível em: https://goo.gl/3qrg2o. Acesso em 28 jan. 2017.
FREITAS, M. A.; LEITE, F. C. L. Atores do sistema de comunicação científica: apontamentos para discussão de suas funções. Informação & Informação, Londrina, v. 24, n. 1, p. 273 – 299, jan./abr. 2019.
GRAY, J.; LIU, D. T.; NIETO-SANTISTEBAN, M.; SZALAY, A.; DEWITT, D. J.; HEBER, G. Scientific data management in the coming decade. ACM SIGMOD Record, [s.l.], v. 34, n. 4, p. 34-41, jan. 2005. Disponível em: https://arxiv.org/ftp/cs/papers/0502/0502008.pdf. Acesso em: 23 jan. 2018.
GRIGG, K. S. Data in the Sciences. In: KELLAM, L. M.; THOMPSON, K. Datalibrarianship: The Academic Data Librarian in Theory and Practice. Association of College and Research Libraries. Chicago: American Library Association, 2016. p. 179-192.
GUERTIN, H.; BERNHARD, P. Les 6 étapes d'un projet de recherche d'information. École de bibliothéconomie et des sciences de l'information (EBSI), Université de Montréal, Québec, 2005. Disponível em: http://www.ebsi.umontreal.ca/jetrouve/projet/index.htm. Acesso em: 02 jan. 2018.
JEFFRYES, J. N.; JOHNSTON, L. An E-Learning Approach to Data Information Literacy Education. In: Annual Conference & Exposition - ASEE, 2013, Atlanta, Anais […]. Atlanta, 2013. Disponível em: https://peer.asee.org/19170. Acesso em: 12 jun. 2020.
JOHNSTON, L. R., JEFFRYES, J. Data Management Course. University of Minnesota Libraries: Minnesota, 2012. Disponível em: https://sites.google.com/a/umn.edu/data-management-course_structures/home1. Acesso em: 02 jan. 2018.
KIM, Y. Scientific Data Reuse Survey. Inter-university Consortium for Political and Social Research, 2017. Disponível em: http://doi.org/10.3886/E100404V1. Acesso em: 25 abr. 2017.
KIM, Y. Scientists’ Data Sharing Behaviors. Inter-university Consortium for Political and Social Research, 2016. Disponível em: http://doi.org/10.3886/E100087V7. Acesso em: 25 abr. 2017.
KOLTAY, T. Are you ready? Tasks and roles for academic libraries in supporting Research 2.0. New Library World, [s.l.], v. 117, n. 1-2, p. 94-104, 2016. Disponível em: https://doi.org/10.1108/NLW-09-2015-0062. Acesso em: 12 jun. 2020
KOLTAY, T. Data literacy: in search of a name and identity. Journal of Documentation, [s.l.], v. 71, n. 2, p. 401-415, 2015. Disponível em: https://doi.org/10.1108/JD-02-2014-0026. Acesso em: 12 jun. 2020.
KOLTAY, Tibor. HORSTMANN, Wolfram; WITT, Michael. Data governance, data literacy and the management of data quality. IFLA Journal, v.42, n. 4, p. 303-312, 2016. Disponível em: https://doi.org/10.1177/0340035216672238. Acesso em: 02 jan. 2018.
LAMAR SOUTTER LIBRARY. New England Collaborative Data Management Curriculum - Necdmc., University of Massachusetts Medical School. 2012. Disponível em: http://library.umassmed.edu/necdmc/index. Acesso em: 02 jan. 2018.
LÓSCIO, B. F.; BURLE, C.; CALEGARI, N. Data on the Web best practices. W3C Data on the Web Best Practices Working Group, World Wide Web Consortium (W3C), 31 jan. 2017. Disponível em: https://www.w3.org/TR/dwbp/. Acesso em: 30 jun. 2018.
MAYBEE, C.; CARLSON, J.; SLEBODNIKC, M.; CHAPMAN, B. “It's in the Syllabus”: Identifying Information Literacy and Data Information Literacy Opportunities Using a Grounded Theory Approach. The Journal of Academic Librarianship, [s.l.], v. 41, n. 4, p. 369-376, Jul. 2015. Disponível em: http://dx.doi.org/10.1016/j.acalib.2015.05.009. Acesso em: 12 jun. 2020
NATIONAL SCIENCE FOUNDATION. Dissemination and sharing of research results. 2010. Disponível em: https://goo.gl/E6nsXV. Acesso em: 10 fev. 2018.
OPEN ACCESS. Berlin Declaration on open access to knowledge in the sciences and humanities. Berlin, 2003. Disponível em: https://openaccess.mpg.de/67605/berlin_declaration_engl.pdf. Acesso em: 08 set. 2017.
PAGANI, R. N.; KOVALESKI, J. L.; RESENDE, L. M. Tics na composição da methodi ordinatio: construção de portfólio bibliográfico sobre modelos de transferência de tecnologia. Ciência da Informação, Brasília, v. 46, n. 2, 2017. Disponível em: https://brapci.inf.br/index.php/res/v/18841. Acesso em: 15 ago. 2019.
QIN, J.; D’IGNAZIO, J. Lessons learned from a two-year experience in science data literacy education. In: ANNUAL IATUL CONFERENCE, 31., 2010, Syracuse. Anais [...]. Syracuse, 2010. Disponível em: https://goo.gl/jpiJqN. Acesso em:19 jan. 2017.
RESEARCH DATA ALLIANCE. About RDA. Disponível em: https://www.rdalliance.org/node/51727. Acesso em 03 dez. 2017.
RESEARCH DATA NETHERLANDS. Essentials 4 Data Support, [s.d.]. Disponível em: http://datasupport.researchdata.nl/en/. Acesso em: 20 fev. 2019.
SAYÃO, L. F.; SALES, L. F. Guia de Gestão de Dados de Pesquisa para Bibliotecários e Pesquisadores. Rio de Janeiro: CNEN, 2015. p. 90. Disponível em: https://goo.gl/6JBkKV. Acesso em 3 ago. 2017.
SCHNEIDER, R. Research data literacy. In KURBANOGLU, S.; GRASSIAN, E.; MIZRACHI, D.; CATTS, R.; SPIRANEC, S. Worldwide commonalities and challenges in information literacy research and practice. Cham: Springer International, v. 397, p. 134-140, 2013.
TENOPIR, C.; BIRCH, B.; ALLARD, S. Academic libraries and research data services: current practices and plans for futur - An ACRL White paper. ACRL, 2012. Disponível em: https://goo.gl/eoQsXH. Acesso em 20 out. 2017.
UNIVERSITY OF EDINBURGH. Our definitions: Research data 2016. Disponível em: https://goo.gl/wznsyF. Acesso em: 01 mar. 2017.
UNIVERSITY OF EDINBURGH. Research Data Service staff in Information Services. Research Data and Management Trainning, Out. 2017. Disponível em: https://mantra.edina.ac.uk/. Acesso em: 20 fev. 2019.
UNIVERSITY OF OXFORD. Workshops and Classes: Research Data Management handouts. 2018-2019. Disponível em: https://libguides.bodleian.ox.ac.uk/workshops/rdm. Acesso em: 20 fev. 2019.
VITAE. The Vitae Researcher Development Framework. 2018. Disponível em: https://goo.gl/XiXfVb. Acesso em: 05 jan. 2018.
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2020-07-02
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Estevão, J. S. B., & Strauhs, F. do R. (2020). Information literacy for data reuse in the Social Sciences: requirements and competences. Informação & Informação, 25(2), 1–25. https://doi.org/10.5433/1981-8920.2020v25n2p1
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