2022
2022-03-14
10.17192/bfdm.2022.1.8371
urn:nbn:de:hebis:04-0008-2022-297-83715
keine Angabe
Activities and Challenges in developing Discipline-Specific Data Management Plan Templates
http://creativecommons.org/licenses/by/4.0
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To provide tailored guidance on research data management, discipline-specific data management plan (DMP) templates are core. Different stakeholders are pursuing the development of such discipline-specific DMP templates in different ways. In this paper, we present three such approaches. First, we introduce the concept of domain data protocols, describing the work of the project Domain Data Protocols for Empirical Educational Research (in Germany). Members of this project develop tailored guidance on research data management (RDM) vertically, i.e., within the educational research discipline. Second, we present the approach of the Research Data Alliance Working Group on Discipline-specific Guidance for DMPs. The working group identifies discipline-specific DMP characteristics and uses them to analyse common practices and differences in RDM horizontally across disciplines. Finally, we describe the approach of the Research Data Management Organiser Sub-Working Group on Guidance, which facilitates mapping of discipline-specific DMP templates across disciplines. Although these three approaches differ in their underlying concepts, combining them facilitates identifying differences and commonalities in RDM across disciplines. By assigning discipline-specific characteristics and mapping these characteristics across disciplines, the three approaches improve our understanding of data management and research data within a particular discipline, as well as across disciplines.
DMP
fachspezifisch
disciplin-specific
Data Management Plan
Template
Guidance
Anleitungen
From Vertical to Horizontal Integration of RDM Practices
DMP
Activities and Challenges in developing Discipline-Specific Data Management Plan Templates
Sebastian
Netscher
Netscher, Sebastian
Ivonne
Anders
Anders, Ivonne
Christin
Henzen
Henzen, Christin
fachspezifisch
disciplin-specific
Data Management Plan
2022-03-14
article
2022-03-14
application/pdf
2022, 1
urn:nbn:de:hebis:04-0008-2022-2970
2022
2022-03-15
https://journals.uni-marburg.de/0008/2022/297/cover.png
1
2626-7489
2947344-5
https://journals.uni-marburg.de/0008/cover.png
Forschungsdatenmanagement
Research Data Management
AG Forschungsdaten
urn:nbn:de:hebis:04-00084
Bausteine Forschungsdatenmanagement
Periodical
Deutschhausstraße 9, 35037 Marburg
Marburg
Philipps-Universität Marburg
PeriodicalPart
Template
urn:nbn:de:hebis:04-0008-2022-297-83715
2022
https://journals.uni-marburg.de/0008/2022/297/8371/8371.png
Guidance
To provide tailored guidance on research data management, discipline-specific data management plan (DMP) templates are core. Different stakeholders are pursuing the development of such discipline-specific DMP templates in different ways. In this paper, we present three such approaches. First, we introduce the concept of domain data protocols, describing the work of the project Domain Data Protocols for Empirical Educational Research (in Germany). Members of this project develop tailored guidance on research data management (RDM) vertically, i.e., within the educational research discipline. Second, we present the approach of the Research Data Alliance Working Group on Discipline-specific Guidance for DMPs. The working group identifies discipline-specific DMP characteristics and uses them to analyse common practices and differences in RDM horizontally across disciplines. Finally, we describe the approach of the Research Data Management Organiser Sub-Working Group on Guidance, which facilitates mapping of discipline-specific DMP templates across disciplines. Although these three approaches differ in their underlying concepts, combining them facilitates identifying differences and commonalities in RDM across disciplines. By assigning discipline-specific characteristics and mapping these characteristics across disciplines, the three approaches improve our understanding of data management and research data within a particular discipline, as well as across disciplines.
Universitätsbibliothek Marburg
Publikationsserver der Universitätsbibliothek Marburg
https://doi.org/10.17192/bfdm.2022.1.8371
2022-03-15
Anleitungen
German
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