Lifecycle of research data

Research data always has a lifecycle, the length of which varies according to the needs and nature of the research.

Research data always has a lifecycle that varies according to the nature, content, and types of the data.

A cycle SmartArt image describing the phases of the lifecycle of research data: Plan, Collect and generate, Analyse, document and provide with metadata, Store and share, Publish, archive or securely dispose of, Reuse for further purposes.

This page will be updated during 2024. 

Instructions on the subject:

Opening research data

Guidelines for opening research data at the Ä¢¹½Ö±²¥

Publishing data in JYX

Instructions to publishing data in JYX

Data management plan - Opening, publishing, and archiving

Data management plan: opening, publishing and archiving

Questions on planning your data management or e.g. documenting, metadata, or opening of your data? Contact the Research Data Services at the Open Science Centre:  researchsupport-osc@jyu.fi

Training and consultation:

Open Data Clinic

Create critical metadata for your datasets and get help in meriting from it - and, if possible, in publishing your data!

Research data management training

Research data management training for researchers

Data management workshops

Do you need help with planning or practical implementation of research data management? Order customized advice!