Although research institutions take on increased responsibility for providing infrastructures and services around the proper handling of research data, there is no comprehensive framework addressing the ideal conditions of this implementation process. To overcome this gap, we present the DIAMANT model, a reference model aimed at providing an orientation framework for the implementation of research data management guided by the research process itself. It builds upon a central research data management information unit controlling the information flow between all other organizational units involved in research data management. Due to the possibility of outsourcing organizational units, the implementation process is maximally flexible and efficient.
Surveys are a common method in the social and behavioral sciences to collect data on attitudes, personality and social behavior. Methodological reports should provide researchers with a complete and comprehensive overview of the design, collection and statistical processing of the survey data that are to be analyzed. As an important aspect of open science practices, they should enable secondary users to assess the quality and the analytical potential of the data. In the present article, we propose guidelines for the documentation of survey data that are based on the total survey error approach. Considering these guidelines, we conclude that both scientists and data-holding institutions should become more sensitive to the quality of survey data documentation.
ZusammenfassungAusgehend von der Notwendigkeit, die Integration von Forschungsdatenmanagement in bestehende Forschungsprozesse zu optimieren, stellt dieser Beitrag das BMBF-Projekt PODMAN vor. Es kombiniert Konzepte des Prozessmanagements und der Psychologie zu einem prototypischen Forschungsdatenmanagement-Modell. Hierbei bezieht es Forscher aus den Geisteswissenschaften und der Psychologie sowie die Infrastruktureinrichtungen an der Universität Trier und dem Zentrum für Psychologische Information und Dokumentation (ZPID) mit ein.
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