Plan your data management
Most of the researchers want to promote good research practice and meet the funder requirements. The FAIR Data principles (created by FORCE11) act as an international guideline to facilitate the change toward improved knowledge creation and sharing. You can use FAIR data principles as a guideline to enhance your data to be Findable, Accessible, Interoperable, and Re-usable.
You don´t have to be able to do all this by yourself. CSC – IT Center for Science is a Finnish center of expertise that provides ICT expert services at an internationally high level of quality for research. Thanks to the service agreement between CSC and the Ministry of Education and Culture, Finnish Higher Education Institutions have world-class research and education services at their disposal. We will assist you in finding the best solution for managing your data, including large volumes of data and sensitive data.
Good research data management is the basis of successful research. Furthermore, good data management is crucial for facilitating data sharing and ensuring the sustainability and accessibility of data in the long-term and therefore their re-use for future science. Research funders require making a plan for managing your data. For this purpose we recommend the Tuuli data management planning tool developed by Finnish research organization network.
Read more about good data management:
- Best practices and guidance for data management
- Files and file formats
- Metadata and documentation
- Sensitive data
- Data licensing
- Persistent identifiers and dataset versioning
FAIR data principles
FAIR data principles is a minimum set of principles agreed on by multiple set of stakeholders 2014 in the Netherlands under the umbrella of Force11. FAIR stands for Findable, Accessible, Interoperable, and Re-usable and is a general guide to FAIRness of data. The principles were formed due to a recognized need of supporting and facilitating data sharing, discoverability, storage and use. For the researcher, the most important thing is to have systematic data management throughout the research process.
The FAIR principles describe the practices and criterion to be set on tools, infrastructure and resources in order to achieve ‘FAIR' data management. Read more about the FAIR principles from the FAIR principles working detailed document or the summarized version of it.
CSC and FAIR data principles
CSC offers high-quality ICT services for the national research system and is supporting the FAIR principles in the development of data management services. Good data management practices is the core essence of all activities and is attained by adhering to relevant standards and FAIR data principles. CSC provides services for their customers along with technical support, tools and instructions on how to use them. CSC helps their customers identify their data and manage the data accordingly.
The default assumption is that the data should be made openly available whenever possible. The data management is offered in compliance with all applicable laws and regulations. Data protection and security are planned and maintained in an appropriate and controlled way during the whole data life cycle. CSC has appointed a data protection officer with whom the data policy can be discussed further (firstname.lastname@example.org).