Activities and Challenges in developing Discipline-Specific Data Management Plan Templates

Netscher, Sebastian; Anders, Ivonne; Henzen, Christin

doi:10.17192/bfdm.2022.1.8371

Cited by 3 publications

(4 citation statements)

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“…Current DMP challenges address researcher support-in particular concerning a lack of domain-specific guidance and DMP templates-and tool-based support (Miksa et al, 2022;Netscher et al, 2022).…”

Section: Guidance Templates and Tools For Data Management Plansmentioning

confidence: 99%

“…htm [guideline]), and consequently focuses on core requirements as described in the Science Europe Practical Guide to the International Alignment of Research Data Management (Science Europe, 2021). Thus, these templates need improvements regarding domain-specific information, since they lack guidance on how to structure domain-specific information in a DMP and domain-specific templates (Henzen et al, 2021;Netscher et al, 2022;RDA DMP, 2020).…”

Section: Guidance Templates and Tools For Data Management Plansmentioning

confidence: 99%

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Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components

Henzen,

Rümmler,

Figgemeier

et al. 2024

Transactions in GIS

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Research data infrastructures are quickly evolving and show a wide variety, for instance in the way they address user requirements and use cases as well as how they provide user‐required information through their software architecture. In this article, we discuss challenges and provide approaches to developing software architectures and software components for research data infrastructures in environmental sciences. Taking the GeoKur research project on harmonizing land use time series as the use case for curation and quality assurance of environmental research data, we designed, implemented, and tested approaches and software components with particular regard to data management planning as well as provenance and quality information management. We aim to illustrate how to better meet researchers’ needs and provide tightly interlinked software components.

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Section: Guidance Templates and Tools For Data Management Plansmentioning

confidence: 99%

Section: Guidance Templates and Tools For Data Management Plansmentioning

confidence: 99%

Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components

Henzen,

Rümmler,

Figgemeier

et al. 2024

Transactions in GIS

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“…Initially, we developed the Stamp for the educational research community, aiming to provide guidance tailored to this domain. At the same time, we expected that the idea of activities to manage data adequately is rather a matter of the type of data processed, the methods of data analysis, and the information included in the data rather than of a particular community or domain (Netscher, Anders and Henzen 2022). We thus considered the transferability of the Stamp to other domains and its usability beyond educational research during the entire development process.…”

Section: Introductionmentioning

confidence: 99%

Stamp—Standardized Data Management Plan for Educational Research: A Blueprint to Improve Data Management across Disciplines

Netscher,

Bongartz,

Schwickerath

et al. 2024

Data Science Journal

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To provide more tailored, discipline-specific guidance on data management, Science Europe suggested the concept of domain data protocols. Based on this concept, the project Domain Data Protocols for Educational Research developed a first domain data protocol for educational research, titled Standardized Data Management Plan for Educational Research (Stamp). Its multi-level approach includes minimal conditions on managing data according to the FAIR Data Principles and checklists with concrete activities to reach each minimal condition; also included are auxiliary materials to support researchers in educational research in planning, implementing, and realizing different data management activities. Although we developed the Stamp for educational research, its design and flexible structure enables transferring it to other (research) domains and communities. To investigate this flexibility, we organized two workshops, discussing to what extent the Stamp can be used beyond educational research, with representatives from other social science domains as well as from research domains beyond the social sciences. In sum, there was consensus among participants of both workshops on the usability of the Stamp outside educational research, at least if the same types of data are processed and analyzed with similar methods. For other types of data, the Stamp serves as a blueprint to develop further domain data protocols, in terms of standardized data management plans, according to the specific needs of the respective domain.

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“…While there is a strong tendency towards a harmonized, cross-disciplinary research data management (RDM) (Netscher et al, 2022), researchers require more guidelines and examples, tailored to their research discipline (Grootveld et al, 2018). Therefore, Science Europe (2018: 9) proposes developing so-called domain data protocols (DDP), "a 'model DMP' for a given domain or community".…”

Section: Introductionmentioning

confidence: 99%

Stamp - Standardized Data Management Plan for Educational Research

Netscher,

Meyermann,

Künstler-Sment

et al. 2023

Proc Conf Res Data Infrastr

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While there is a strong tendency towards a harmonized, cross-disciplinary research data management (RDM) (Netscher et al., 2022), researchers require more guidelines and examples, tailored to their research discipline (Grootveld et al., 2018). Therefore, Science Europe (2018: 9) proposes developing so-called domain data protocols (DDP), “a ‘model DMP’ for a given domain or community”. Based on this concept, the project Domain Data Protocols for Educational Research[1] designed the Stamp - Standardized Data Management Plan for Educational Research (DDP-Bildung and German Network of Educational Research Data, 2023). Although the Stamp was designed to support researchers in educational research, we expect that RDM is rather a matter of the data processed, the methods employed, and the content of data, than of a particular research discipline or community, such as educational research. To discuss this expectation and the usability of the Stamp outside educational research, we organized various workshops with representatives from other research disciplines. In our talk at the CoRDI 2023, we will introduce the Stamp, recap findings of two of the workshops, introduce the next steps to examine the useability of the Stamp outside educational research, and draw some conclusions on how to adapt the Stamp to other disciplines and how it fosters a harmonized, cross-disciplinary RDM. [1] The project DDP-Bildung was funded by the German Federal Ministry of Education and Research (grant number: 16QK01).

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Activities and Challenges in developing Discipline-Specific Data Management Plan Templates

Cited by 3 publications

References 0 publications

Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components

Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components

Stamp—Standardized Data Management Plan for Educational Research: A Blueprint to Improve Data Management across Disciplines

Stamp - Standardized Data Management Plan for Educational Research

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