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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.
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.
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.
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.
Due to the Open Science Movement the publishing of one's own research data has increasingly become part of the research process itself. Research funders, such as the SNSF, require their grantees and authors to publish their data together with the publication. Inform yourself beforehand if and how you can publish your data.
FAIR data are findable, accessible, interoperable and reusable. By being FAIR, data can meet certain quality requirements for easy reuse.
If you work with sensitive and/or personal data you have to adhere to important legal and ethical aspects.
