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Policies of research funding organisations and publishers

Depending on the research funding organisation and project, requirements may vary. You can find an overview of the requirements of many international research funders on SHERPA/JULIET.

The research data policies of the major research funding organisations for Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) are briefly described below.

The DFG recommends that data created in DFG projects is made available to third parties as quickly as possible and is preserved for a period of at least 10 years. The project-specific costs incurred by subsequent usage of the research data can be requested as part of the project (see guidelines for applications).
Since 01.08.2019 the new DFG codex “Leitlinien zur Sicherung guter wissenschaftlicher Praxis” is available. Universities will have to comply with the 19 guidelines in order to stay eligible for DFG funding. Issues relating to research data management are addressed in guidelines 7, 10, 11, 12, 13 and 17.
The instructions for project proposals deal with research data management in section 5.2 “Data handling“. In particular, the issue of sharing and archiving data produced during the project has to be addressed. This includes documentation and the choice of (meta-)data formats. DFG recommends to consider established data repositories as an option for providing access to the data. Furthermore, there is a growing number of additional guidelines and recommendations for specific research subjects. These can be found along with best-practice examples on the DFG homepage. These usually contain some additional aspects that have to be discussed in all grant applications.
Please keep in mind that certain funding programs have additional requirements. For example, applications for the CRC program need to present their research data management in some detail in section 1.4.3 of the grant application. Here the datasets themselves as well as quality assurance measures, access condition to the data or services provided external partners (computing centres, libraries …) should be discussed. Note that CRCs with a data related infrastructure project (INF) should discuss data management aspects in some detail in the corresponding sections.

Projects participating in the ‘Open Research Data Pilot’ programme are required to submit a data management plan and are also expected to make their data open access (see Guidelines on Data Management in Horizon 2020 and Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020). Furthermore, it is also required that context information on tools such as the software used or analysis protocols is stored in addition to the data.

Researchers who receive funding from the Wellcome Trust also need a data management plan and can request the costs incurred by the creation thereof as part of the project (see Policy on Data Management and Sharing).

For projects which receive annual funding of USD 500,000 or more, publication of research data is a mandatory requirement. The data must be published by a publishing company after receiving confirmation of publication of the interpretive results (papers, articles). More information can be found in the Data Sharing Policy.

Researchers are expected to share the primary data collected or created in the course of the project for at most incremental costs and within a reasonable time frame (see Data Management for NSF Engineering Directorate Proposals and Awards).

Some publishers have also established basic principles of data availability which require provision of the data and filing in specific repositories for some data. Please be sure to account for possible costs in project applications.

Addition information