Project planning:

Research data definition

http://www.rdm.kit.edu/fodaten.php

There are numerous definitions of research data. In general, research data includes all data that arise during the research process (e.g. with measurements, surveys, work with sources), that can be used as a basis for scientific research (e.g. digital copies), or that are the result of scientific work.

More information can be found here: How does RDM start?

Funders' requirements (EU, DFG, BMBF)

National and international funding organizations increasingly require detailed information about how research data arising from research projects are handled and, in part, are also requiring open access to data relevant to publications.

  • BMBF (Federal Ministry of Education and Research): Announcement,  

Further information can be found on the information platform Forschungsdaten.info under  Funding guidelines.

 

Costs for FDM can usually be requested at the time of application. You can find an overview of costs here: FDM budget planning

Publishers’ requirements

Publishers are also increasingly including “data sharing policies” requiring those research data to be published or provided that are used as a basis for the publication in a scientific journal. Please check the requirements before publication.

 Examples of data policies from academic journals:

More information can be found here: Guidelines and policies

Creating a data management plan (DMP)

A data management plan (DMP) enables you to manage all your research data along a data life cycle, that is, from collection to archiving. DMP checklists and DMP tools can make it easier for you to get started with research data management. Using a question catalog, you are led through a DMP. Resources for creating a DMP: DMP tools and DMP checklists

DMP examples

 


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