FAIR data

FAIR is an acronym used to describe best practices in open data. It promotes data that is Findable, Accessible, Interoperable and Reusable.
Fuel cell research. Photo: Aalto University/Adolfo Vera
Fuel cell research. Photo: Aalto University/Adolfo Vera

FAIR data

The Aalto University Open Science and Research Policy promotes FAIR data. Today funders such as the European Commission and the Research Council of Finland also ask applicants to explain how they plan make their research data FAIR.  While some of the specifics of making data FAIR can be rather complex, there are some very practical first steps that researchers can do to improve the FAIRness of their data. It doesn’t need to be perfect, FAIR enough is a great start. 


Following the steps above will have you well on your way to making your data FAIR. For those who are interested in exploring the opportunities of FAIR data in more depth, below is a list of further reading which might be of interest.  

  • Go FAIR offers an excellent overview of the principles and their practical application
  • The Finnish national Open Science Guide for Making Your Data FAIR  
  • The Danish National Forum for Research Data’s How to FAIR offers a wealth of information as well as quizzes on the topic 
Aalto University BIZ main building, photographer Mika Huisman

Aalto University Open Science and Research Policy

The goals of open science are responsible research and societal impact.
Open science means open access to scientific publications, research data, methods, software codes, educational resources, and infrastructures. It is a key instrument for increasing the impact of the research conducted at Aalto University.

Open science and research
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Data documentation, folder organization, and describing datasets in repositories

Data documentation, organization, and publishing and describing datasets in data repositories helps to ensure the usability and comprehensibility of your research data.

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Publishing and reusing open data

Overview and instructions to services for sharing and publishing research data


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Research Data Management (RDM) and Open Science

Properly managed research data creates competitive edge and is an important part of a high-quality research process. Here you will find links to support, services and instructions for research data management.

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