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2020 | OriginalPaper | Buchkapitel

Understanding and Implementing Research Data Management

verfasst von : Sebastian Netscher, Alexia Katsanidou

Erschienen in: Handbuch Methoden der Politikwissenschaft

Verlag: Springer Fachmedien Wiesbaden

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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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Vorheriges Kapitel Operationalisierung und Messung

Nächstes Kapitel Experimente und experimentelle Forschungsdesigns

A computer science method that automatically links available data over the internet.

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.

It is important to note that licenses can be irrevocable as well as not suitable for personal data, requiring confidentiality.

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.

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).

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.

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Titel: Understanding and Implementing Research Data Management
verfasst von: Sebastian Netscher
Alexia Katsanidou
Verlag: Springer Fachmedien Wiesbaden
Buch: Handbuch Methoden der Politikwissenschaft
Print ISBN: 978-3-658-16935-0

Electronic ISBN: 978-3-658-16936-7

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-658-16936-7_4