Research Data Management as an Integral Part of the Research Process of Empirical Disciplines Using Landscape Ecology as an Example

Authors

  • Winfried Schröder Landscape Ecology, University of Vechta, Vechta
  • Stefan Nickel Landscape Ecology, University of Vechta, Vechta

DOI:

https://doi.org/10.5334/dsj-2020-026

Keywords:

data life cycle, empirical science, data repository, subject database, university

Abstract

Research Data Management (RDM) is regarded as an elementary component of empirical disciplines. Taking Landscape Ecology in Germany as an example the article demonstrates how to integrate RDM into the research design as a complement of the classic quality control and assurance in empirical research that has, so far, generally been limited to data production. Sharing and reuse of empirical data by scientists as well as thorough peer reviews of knowledge produced by empirical research requires that the problem of the research in question, the operationalized definitions of the objects of investigation and their representative selection are documented and archived as well as the methods of data production including indicators for data quality and all data collected and produced. On this basis, the extent to which this complemented design of research processes has already been realized is demonstrated by research projects of the Chair of Landscape Ecology at the University of Vechta, Germany. This study is part of a joined research project on Research Data Management funded by the German Federal Ministry of Education and Research.

Author Biography

Stefan Nickel, Landscape Ecology, University of Vechta, Vechta

Dr.-Ing., M.Sc.

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Published

2020-06-17

Issue

Section

Research Papers