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Defining Fairdata - a suite of services for research data producers and reusers

Authors: Nordling, Josefine;

Defining Fairdata - a suite of services for research data producers and reusers

Abstract

The Finnish Fairdata services initiative dates back to 2012-2014 when the Finnish Ministry of Education and Culture initiated and funded an open science initiative called Data for Research. This initiative was followed by its successor, the Open Science and Research Initiative in 2014-2017, where the guidelines for further service development were defined. The Fairdata services, consists of five separate services, each with their own identified functions and use cases. These are as follows: IDA for storing research data, allowing both organizing the data and freezing the data in an immutable state Qvain for describing and publishing data Etsin for discovering and downloading data Fairdata-PAS for long-term digital preservation of research data Metax for storing metadata and making the metadata accessible to the other services There is funding available for continuous development of these services and a clear plan for the future guided by roadmaps. The underlying idea of the Fairdata service portfolio is to maximize the implementation of the FAIR principles and, as service providers, to support the end users in doing so. CSC is the technical developer, but there are some external developers involved in the work as well. Experts from Finnish universities and, to some extent, polytechnics, have also been involved in the development of the substantive work, and engaged in collaborative efforts. The former Product Owner of the Fairdata services, Joonas Nikkanen, sheds light on the goals and ambitions of the Fairdata services. Joonas was responsible for the metadata management of the services and tools supporting research data up until autumn 2021.

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Keywords

FAIR principles, Research data management

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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