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.
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.
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.
- Public Library of Science (PLOS) Journals: see Data Availability Policy and Materials and Software Sharing Policy
- Springer Nature Publishing Group: For Nature see Availability of Data, Material and Methods Policy. Four types of research data policy are provided for all other journals published by SpringerNature ranging from type 1 with minimal requirements to type 4 with extensive demands.
- Science journal: see Data and Materials Availability Policy and Preparing Your Supplementary Materials
- Wiley journals: have a data policy for each journal and are working towards offering a data sharing service for all Wiley journals.
- Elsevier journals: see Research Data Policy and Text and Data Mining Policy
- Taylor & Francis journals: see Author services