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Processing and storage

Research data is highly valuable, and it must be properly stored to avoid data loss or damage. Processing and maintaining research data can be difficult, especially if you have big data sets or material that requires legal protection. When we collect data, our primary focus is on the actual collection and content, which may lead to a lack of awareness of the data's storage, organizing, and documenting.

The researcher must ensure that research data is continuously stored and processed in a secure manner in accordance with UiT's Management System for Information Security and Privacy.  - Principles and guidelines for the management of research data at UiT

Project managers and supervisors are in charge of guaranteeing information security in research projects on a daily basis.

It is essential to have good research data naming, organization, and documentation in order to find, understand, and use the data correctly. This is especially important when working in groups or sharing datasets. Quality-assured research data archives have stringent requirements for data format and documentation. However, it is equally important that you keep order for your part so that you can efficiently find and understand your data in the future.

There may also be unforeseen costs associated with data processing and storage. As a result, it is important to plan your data processing ahead of time.

Structuring and documentation

About structuring and organising data, metadata and description of data

Secure storage, collection and processing

About secure storage a routines for different types of data

Electronic Lab Notebook (ELN)

ELN RSpace is available at UiT

Updated: 03.01.2022, updated by: Tanja Larssen
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