Over the past years, funding agencies and other initiatives released a number of principles and guidelinesExternal link on how to manage research data. When conducting research projects, funding agencies increasingly expect compliance with these guidelines and principles. While planning your research project and writing your proposal, we recommend to study the relevant guidelines and clearly state how research data management will be implemented in your project.
Friedrich Schiller University Jena
On December 20, 2016, the senate of Friedrich Schiller University Jena agreed upon a policy on the handling of research data as well as on guidelines and recommendations for research data management. Both documents were developed by a working group on research data management, which consists of representatives of the University's central service facilities (UCC, ThULBExternal link, SFT, Legal Office de), the scientific community, the vice-president for research, and the research data management helpdesk.
The policy on the handling of research datapdf, 170 kb · de provides a first overview on general recommendations and best practices for working with research data. The guidelines and recommendationspdf, 316 kb · de complement the policy and specify the general recommendations.
Since July 2023, the University’s Statutes for Safeguarding Good Research Practice de have also included statements on research data and software that comply with the DFG Code of Conduct mentioned below.
Deutsche Forschungsgemeinschaft (DFG)
In July 2019, the DFG published the Code of Conduct ‘Guidelines for Safeguarding Good Research Practice’External link, which is a fundamental revision of the 1998 Memorandum on Safeguarding Good Scientific Practice. The Code of Conduct consists of 19 guidelines. Several of these are highly relevant to the management of research data and research software. The Guidelines on the Handling of Research DataExternal link from 2015 supplement these gudielines.
A comprehensive compilation of the principles, support services and funding opportunities can be found on the DFG's website Handling of Research DataExternal link. A checklist for the handling of research data in research projectsExternal link and specific recommendations for some disciplines can also be found there. Information on the handling of research data in DFG funding proposals is now mandatory.
European Commission — Horizon Europe
The European Union (EU) framework program Horizon Europe is the European Commission’s funding program for research and innovation until 2027. It followed the EU framework program Horizon 2020. Horizon Europe requires immediate free access to publications that have gone through a peer review process. Embargo periods are no longer envisaged.
In Horizon Europe, free access to research data should also be guaranteed in principle, following the principle of ‘as open as possible – as restricted as necessary’. Researchers should be guided by the FAIR principles when handling research data. This includes the mandatory preparation of a data management plan for each project and the storage and provision of data in an appropriate repository. All other guidelines are described in the Horizon Europe Program GuideExternal link.
The creation of a Data Management Plan (DMP) for ERC projectsExternal link is mandatory from 2021 onwards. The DMP must be provided at the latest 6 months after the start of the project.
FAIR Data Principles
The so-called ‘FAIR Data PrinciplesExternal link’, which have been published in 2016, have reached a high level of acceptance and general approval. Further information on this topic can be found in the article ‘The FAIR Guiding Principles for scientific data management and stewardship’ by Wilkinson, M.D. et al. (2016)External link.
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Findable
F1. (meta)data are assigned a globally unique and eternally persistent identifier.
F2. data are described with rich metadata.
F3. metadata clearly and explicitly include the identifier of the data it describes.
F4. (meta)data are registered or indexed in a searchable resource. -
Accessible
A1 (meta)data are retrievable by their identifier using a standardized communications protocol.
A1.1 the protocol is open, free, and universally implementable.
A1.2 the protocol allows for an authentication and authorization procedure, where necessary.
A2 metadata are accessible, even when the data are no longer available. -
Interoperable
I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles.
I3. (meta)data include qualified references to other (meta)data. -
Re-usable
R1. (meta)data are richly described with a plurality of accurate and relevant attributes.
R1.1. (meta)data are released with a clear and accessible data usage license.
R1.2. (meta)data are associated with detailed provenance.
R1.3. (meta)data meet domain-relevant community standards.
Nagoya Protocol
The Nagoya Protocol External linkis a binding international agreement on Access and Benefit Sharing (ABS) that aims to achieve a fair and equitable sharing of the benefits arising out of the utilization of genetic resources or traditional knowledge associated with them. A ‘genetic resource’ in that context is any material of plant, animal, microbial, or other non-human origin that contains functional heritable units, or is a derivative of a genetic resource. Researchers using the described genetic resources in their research projects are required to comply with the Nagoya Protocol.
The implementation of the Nagoya Protocol is regulated in the EU Regulation No. 511/2014. In Germany, the Federal Agency for Nature Conservation (Bundesamt für Naturschutz, BfN)External link is the national authority responsible for implementing the Nagoya Protocol. The DFG has published Guidelines on ABSExternal link, explanations on terminology from the Nagoya ProtocolExternal link (only German), and explanations on how to deal with the legal requirements External link of the Nagoya Protocol and EU Regulation No. 511/2014.
Answers to frequently asked questions as well as internal consulting services of the Friedrich Schiller University Jena concerning the Nagoya Protocol can be found here.
IPBES
The Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) has published a Data Management PolicyExternal link in January 2020. It provides a framework for all IPBES entities, including technical support units and experts. The policy provides guidance for developing data management plans and a suggested workflow for long term storage as well as promotes the usage of open-source software.
How to establish a research data policy
It also makes sense for research projects—especially in collaborative research—to set-up a research data policy in order to establish a common standard on how to deal with the generated research data. This gains particular importance when different types of research data are generated and different specific needs in handling research data exist. The project Research Data Policies for Research Projects at the TU Berlin (part of the three-year DFG joint project FDNextExternal link) has compiled a guidelineExternal link for this purpose (in German), which is intended to provide security of action and orientation. It comprises three parts:
- Preliminary considerations and reasons for a research data policy, stakeholders, project-related framework conditions, the process of creation from drafting to adoption to publication and implementation
- Content and structure of a research data policy, conceptual considerations for the structure, catalog with topics and guiding questions
- Checklist for a systematic approach