Welcome to SciLifeLab Data Guidelines!¶
SciLifeLab is committed to the principles of FAIR (Findable, Accessible, Interoperable and Reusable) research data, i.e. that data should be easily accessed, understood, exchanged and reused. We work actively to ensure that the investments done by the society in research infrastructure resources can achieve the highest possible impact.
Research data management concerns the organization, storage, preservation, and sharing of data that is collected or analysed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.
The purpose of these guidelines is to serve as an information resource to researchers regarding research data management. Click on any of the data types for guidance on good data management practices during the data life cycle, including available infrastructures for data generation and analysis and appropriate data repositories for sharing. There is also overarching guidance, applicable to all data types, on e.g. metadata standards and managing sensitive data under General information.
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