Open data = reliable data?
Open data must be managed and described in order to be able to be reused. Open data combined with data management (to make the datasets searchable and understandable) creates conditions for reliable data.
Making data reliable requires:
- Clear provenance and origin of the datasets
Where does the data come from and why was it created?
- Sufficient contextual information/metadata
How are the datasets constructed and how are they to be read and interpreted?
- Transparency about the origin of and changes of the data, versions and security settings
What has happened to the data since it was created?
- Persistent identifiers to identify data and datasets (i.e. citable and searchable data)
Read more about persistent identifiers (PID) of the type DOI among others, on the page Collaborating and sharing.
- Long-term storage in a secure place
Where can the datasets be stored after the project is over?
- Clear instructions on reuse
Are there any regulations or restrictions with regard to reusing the data?
Follow the data management process and receive practical advice through our page Data management.