Guide to research data management

On this page you will find all the instructions related to data management in JYU. They are structured according to the life cycle of the study, with some guidelines appearing in more than one stage. At the end of the page you will find all the guidelines in alphabetical order.

Before the research project

Data management plan (DMP)
Personal data and research data management
Ethical issues and research data management
Research infrastructures and research data management
Data Management in Reseach Council of Finland's 2024 call

During research

Storage solutions for research data
Surveys, interviews, and transcription
Sharing research data and collaboration
Documentation of research data
Creating metadata using JYU Converis
Data Availability Statement (DAS) instructions for publications

When the research project ends

Life cycle of research data
Opening research data
Archiving research data

Personal data and research data management

Handling of personal data, GDPR, and research data management

Data management plan (DMP)

A Data Management Plan (DMP) is a document that plans the handling of research data throughout its life cycle.

Opening research data

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

Archiving data

Archiving research data and choosing a suitable archive

Rights and agreements related to research data

Instructions for rights and agreements related to research data

Data Availability Statement (DAS) instructions

This is how you prepare the Data Availability Statement (DAS) required by publishers as an appendix to your publication.

Storage of research data

Research data storage services at the Ä¢¹½Ö±²¥

Sharing research data and collaboration

Sharing research data with partners.

Metadata

Creating metadata for your datasets

Documentation of research data

Data documentation refers to the information needed to understand, interpret and use the data.

Research infrastructures and data management

Research infrastructures play an important role in the production and use of research data.

Ethical issues and research data management

Good scientific conduct and research ethics in data management

Data management glossary

Key terms and explanations for data management

Surveys and Interviews: Survey building, interview recording and transcribing

Surveys and interviews, tools and recording, transcription