Data Management Plan (DMP)
Note: The chapter headings and contents are based on the list of questions in the DFG's checklist regarding the handling of research data. All text passages with a gray background are for guidance only and should not be part of a DMP.
Administrative information

History of changes:
Version	Date	Changes	

Project title:
Project acronym:
Project abstract:
Principal investigator:
Researchers and/or institutions involved:
Research funding organization:
Funding program:
Relevant policies:
-	Deutsche Forschungsgemeinschaft. 2019. Guidelines for Safeguarding Good Research Practice. Code of Conduct. doi:10.5281/zenodo.3923602.
-	Deutsche Forschungsgemeinschaft. 2015. Guidelines on the Handling of Research Data. https://www.dfg.de/download/pdf/foerderung/grundlagen_dfg_foerderung/forschungsdaten/guidelines_research_data.pdf (accessed: 01 April 2022).
-	Freie Universität Berlin. 2021. Research Data Policy of Freie Universität Berlin. doi:10.17169/refubium-32141.
-	Freie Universität Berlin. 2021. Open Access Policy of Freie Universität Berlin. doi:10.17169/refubium-31442.

1. Data description
-	How does your project generate new data?
-	Is existing data reused?
-	Which data types (in terms of data formats like image data, text data or measurement data) arise in your project and in what way are they further processed [with which software]?
-	To what extent do these arise or what is the anticipated data volume?
2. Documentation and data quality
-	What approaches are being taken to describe the data in a comprehensible manner (such as the use of available metadata, documentation standards or ontologies)?
-	What measures are being adopted to ensure high data quality?
-	Are quality controls in place and if so, how do they operate?
-	Which digital methods and tools (e.g. software) are required to use the data?
3. Storage and technical archiving
-	How is the data to be stored and archived throughout the project duration?
-	[What is the backup strategy?]
-	What is in place to secure sensitive data throughout the project duration (access and usage rights)?
4. Legal obligations and conditions
-	What are the legal specifics associated with the handling of research data in your project?
-	Do you anticipate any implications or restrictions regarding subsequent publication or accessibility?
-	What is in place to consider aspects of use and copyright law as well as ownership issues?
-	Are there any significant research codes or professional standards to be taken into account?
5. Data exchange and long-term data accessibility
-	Which data sets are especially suitable for use in other contexts?
-	Which criteria are used to select research data to make it available for subsequent use by others? 
-	Are you planning to archive your data in a suitable infrastructure? If so, how and where?
-	Are there any retention periods?
-	When is the research data available for use by third parties?
6. Responsibilities and resources
-	Who is responsible for adequate handling of the research data (description of roles and responsibilities within the project)?
-	Which resources (costs; time or other) are required to implement adequate handling of research data within the project?
-	Who is responsible for curating the data once the project has ended?