FSD Bulletin

Issue 19 (1/2006)

ISSN 1795-5262

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FSD Bulletin is the electronic newsletter of the Finnish Social Science Data Archive. The Bulletin provides information and news related to the data archive and social science research.


Finnish Social Science Data Archive
E-mail: fsd@tuni.fi

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Finnish Data Forum on Its Way

Sami Borg

FSD's strategic policy framework for the years 2007-2009 has been finalised. FSD will be underlining the good practice of research ethics in data collection, archiving and secondary use in the coming years. The archive's three-year project which aims to create learning materials to support research and teaching provides helpful tools for this kind of work. Arja Kuula's book is part of the materials and hopefully it will be utilised in research methods and research ethics courses at universities.

OECD has recently been paying special attention to openness, transparency and efficiency in the exchange of publicly funded data. Its ongoing project Open Access to Research Data from Public Funding will probably be concluded with detailed recommendations for a more open and informed use of research data in the near future.

FSD is going to prepare the ground for the implementation of the OECD recommendations during this year. The Finnish Ministry of Education has allocated FSD funds for a pilot project which charts the present procedures for ensuring open and efficient secondary use of research data at universities and academic research funding bodies. The project is also preparing a Finnish data forum the purpose of which is to gather together an extensive collaboration of all the central producers, funding bodies and users of publicly funded research data.

The aim of the data forum is to create national practices by using applicable foreign examples and present knowledge. A few possible ways to ensure the transparency of data are research consent and different research agreements. These aspects should be taken into consideration more effectively than is being done now. Decisions on funding should contain recommendations or obligations which would promote the re-use of datasets.