Data Management Plan

A Data Management Plan (DMP) is a structured document that outlines how data generated or collected during a research project will be managed, organised, preserved, and shared throughout the project’s lifecycle and beyond. DMPs are essential tools for ensuring the responsible and effective handling of research data, and they are often required by funding agencies, institutions, and research organisations as part of the research proposal or project submission process.

Data Management Plan for CRC 1261

You can access the Data Management Plan for CRC 1261 through the following links (internal):

• Data Management Plan

Please be aware that the DMP is an evolving document. It is the responsibility of the data managers within each CRC 1261 project to contribute to and maintain their respective sections of the DMP to ensure its accuracy and relevance.

If you need access or have any questions, please do not hesitate to contact us for support.

Key Components

When considering the guidelines provided by the DFG, a DMP should cover the following key aspects:

• Data Description: Describe the types of data that will be generated or collected during the research project. This includes data formats, sources, and any metadata associated with the data.

• Data Collection: Explain how data will be acquired, recorded, and collected. Discuss the methods, instruments, and procedures used for data collection.

• Data Documentation and Metadata: Detail how data will be documented, including the creation of metadata. Metadata provides essential context and information about the data, making it more understandable and discoverable.

• Data Storage and Backup: Specify where and how data will be stored during the project. Describe backup and redundancy measures to ensure data integrity and availability.

• Data Security and Privacy: Address data security and privacy considerations, especially when dealing with sensitive or confidential data. Explain how access to data will be controlled and protected.

• Data Sharing and Accessibility: Discuss how data will be shared with other researchers, institutions, or the public. Address data sharing policies, access restrictions, and licenses.

• Data Management Responsibilities: Identify roles and responsibilities within the research team for data management tasks. Clarify who will be responsible for data curation, documentation, and compliance.

Future outlook

During our forthcoming funding phase, we also plan to introduce the Research Data Management Organizer (RDMO) to enhance collaborative data management planning. This platform will further streamline the DMP creation process. Stay tuned!