Research Data Management
As a researcher you work daily with a lot of digital data. Depending on the discipline you work with different types of data: measurement data, laboratory data, textual data, code, tabular data, audio data, visualizations, graphics, etc. Organising, storing and making such data reusable for the future has become a normal part of the research workflow. The University Library supports you in the handling of your data.
What Is Data Management?
Research data goes through various different stages during a research project. With structured research data management you can process your data during each stage safely, efficiently and also ensure that the data is reusable after the publication of the results.
Find and Use Data
Researchers produce a lot of data every day. Some of that data is deposited in so-called repositories, i.e. digital archives. There are thousands of different repositories that are openly accessible and that you can choose from to deposit your own data or use to find existing datasets.
Document Data
Documenting your data makes it easier for you and others to reuse the data correctly at a later stage. Undocumented data are usually not reusable by others or by the researchers who created them.
Store and Publish Data
Publishing one's research data has increasingly become part of the norm. Research funders, such as the SNSF, require their grantees to publish their data together with the publication. What do you need to consider when storing and publishing your data?
FAIR Data
FAIR data are findable, accessible, interoperable and reusable. By being FAIR, data can meet certain quality requirements for easy reuse.
Personal and Sensitive Data
If you work with personal or sensitive data you have to adhere to important legal and ethical aspects.