Abstract
Research Data Management is an integral part of good scientific practice. Its relevance increases as funders, journals, and other scientific outlets place it as a requirement in the context of sharing data and concepts on data harmonization. Consequently, it has become imperative that researchers know what research data management is, how it supports their research project and fosters satisfying funders’ requirements on sharing. This chapter introduces research data management, describes activities of data handling, and highlights legal issues. Based on this introduction, we discuss different objectives of research data management, such as ensuring replicability or sharing of research data generated in a research project as well as sharing concepts on data harmonizing and merging in secondary analysis.
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- 1.
A computer science method that automatically links available data over the internet.
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Also most research institutes have automated back-up processes, nowadays, researcher should be aware of how these procedures work and how to access back-ups if needed.
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It is important to note that licenses can be irrevocable as well as not suitable for personal data, requiring confidentiality.
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The Consortium of European Social Science Data Archives (CESSDA) is a pan-European Research Infrastructure (ERIC) that brings together social science data archives across Europe to provides large scale, integrated, and sustainable data services to the social sciences.
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At least, researchers should not avoid data sharing by restrictive formulations in the consent form, such as ‘data will only be used within the research project’ (Doorn 2010).
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In some cases, data anonymization might not be appropriate due to a loss of information. In such cases, researchers might share their data weakly or even non-anonymized, controlling data access and re-use by a restrictive license or even by sharing data via a so called secure data center.
References
BDSG. 1990. Bundesdatenschutzgesetz. https://www.gesetze-im-internet.de/bdsg_1990/. Accessed 22 Feb 2018.
Beagrie, Charles. 2011. User guide for keeping research data safe. Assessing Costs/Benefits of Research Data Management, Preservation and Re-Use. Version 2.0. https://beagrie.com/KeepingResearchDataSafe_UserGuide_v2.pdf. Accessed 22 Feb 2018.
CESSDA. ERIC 2017. Consortium or European Social Science Data Archive. https://www.cessda.eu/.
Corti, Louise, Veerle van den Eynden, Libby Bishop, and Matthew Woollard. 2014. Managing and sharing research data. A guide to good practice. London: Sage publications.
DataCite Metadata Working Group. 2016. DataCite Metadata schema documentation for the publication and citation of research data. Version 4.0. DataCite e.V. https://doi.org/10.5438/0012.
DDI Allicane. 2017. Data documentation initiative. http://www.ddialliance.org/. Accessed 22 Feb 2018.
DFG-Deutsche Forschungsgemeinschaft. 2013. Sicherung guter wissenschaftlicher Praxis. Denkschrift, Empfehlungen der Kommission „Selbstkontrolle in der Wissenschaft“. Weinheim: WILEY-VCH Verlag. http://www.dfg.de/foerderung/grundlagen_rahmenbedingungen/gwp/.
Doorn, Peter K. 2010. Preparing data for sharing. Guide to social science data archiving. DANS Data Guide 8. Amsterdam: Pallas Publications/Amsterdam University Press.
Elliot, Mark, Elaine Mackey, Kieron O’Hara, and Caroline Tudor. 2016. The anonymization decision-making framework. Manchester: University of Manchester.
Force11. 2017. The FAIR data principles. https://www.force11.org/group/fairgroup/fairprinciples. Accessed 22 Feb 2018.
GDPR. 2016. Regulation (EU) 2016/679 of the European Parliament and of the Council on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data (General Data Protection Regulation). http://eur-lex.europa.eu/legal-content/DE/ALL/?uri=CELEX%3A32016R0679. Accessed 22 Feb 2018.
GESIS. 2017. Replikationsserver. http://www.gesis.org/replikationsserver/home/.
Horizon 2020 Programme. 2016. Guidelines on FAIR Data Management in Horizon 2020. Version 3.0. http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf. Accessed 22 Feb 2018.
Huschka, Denis, Claudia Oellers, Notburga Ott, and Gert G. Wagner. 2011. Datenmanagement und Data Sharing- Erfahrungen in den Sozial- und Wirtschaftswissenschaften. In Handbuch Forschungsdatenmanagement, eds. S. Büttner, H.-C. Hobohm, and L. Müller, 35–48. Bad Honnef: Bock+Herchen Verlag.
ISCED. 2011. International standard classification of education. http://uis.unesco.org/en/documents. Accessed 22 Feb 2018.
Jensen, Uwe, Alexia Katsanidou, and Wolfgang Zenk-Möltgen. 2011. Metadaten und Standards. In Handbuch Forschungsdatenmanagement, eds. S. Büttner, H.-C. Hobohm, and L. Müller, 83–100. Bad Honnef: Bock+Herchen Verlag.
Kimpton, Michele, and Carol Minton Morris. 2014. Managing and archiving research data: Local repositories and cloud-based practices. In Research data management. Practical strategies for information professionals, ed. J. M. Ray, 223–238. West Lafayette: Purdue University Press.
Recker, Astrid, Stefan Müller, Jessica Trixa, and Natascha Schumann. 2015. Paving the way for data-centric, open science: An example from the social sciences. Journal of Librarianship and Scholarly Communication 3(2). https://doi.org/10.7710/2162-3309.1227.
Wallace, David A. 2001. Archiving metadata forum: Report from the recordkeeping metadata working meeting, June 2000. Archival Science 1: 253–269.
Winters, Kristi, and Sebastian Netscher. 2016. Proposed standards for variable harmonization documentation and referencing: A case study using QuickCharmStats 1.1. PLoS ONE 11(2). https://doi.org/10.1371/journal.pone.0147795.
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Netscher, S., Katsanidou, A. (2020). Understanding and Implementing Research Data Management. In: Wagemann, C., Goerres, A., Siewert, M.B. (eds) Handbuch Methoden der Politikwissenschaft. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-16936-7_4
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