Abstract
In Finland, a lot of register-based data is available for research purposes, e.g. through Statistics Finland’s remote access system. When a huge quantity of highly detailed micro data is available, maintaining the confidentiality must be carefully ensured. One common national remote access system would improve the safety of data and simplify data access for researchers. The infrastructure project Finnish Microdata Access Services (FMAS) has been launched for this purpose. The project has been slowed down by the lack of funding but the work and co-operation between different register keeping agencies continues.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
CSC - IT Center For Science. https://www.csc.fi/home
Finnish Innovation Fund Sitra. http://www.sitra.fi/en
FMAS forum. http://fmas-foorumi.fi/. (in Finnish)
Johnson, M.: Creating a national remote access system for register-based research. In: Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality, Helsinki (2015). http://www1.unece.org/stat/platform/display/SDCWS15/Statistical+Data+Confidentiality+Work+Session+Oct+2015+Home;jsessionid=0E3AC537CB04D410AD34AAB7DA641313
Personal Data Act (523/1999). http://www.finlex.fi/fi/laki/kaannokset/1999/en19990523.pdf
Statistics Act (280/2004). http://tilastokeskus.fi/meta/lait/2013-09-02_tilastolaki_en.pdf
Statistics Finland. http://www.tilastokeskus.fi/index_en.html
Statistics Finland Act (48/1992). http://www.finlex.fi/fi/laki/ajantasa/1992/19920048. (in Finnish)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Cabrera, A. (2016). Towards a National Remote Access System for Register-Based Research. In: Domingo-Ferrer, J., Pejić-Bach, M. (eds) Privacy in Statistical Databases. PSD 2016. Lecture Notes in Computer Science(), vol 9867. Springer, Cham. https://doi.org/10.1007/978-3-319-45381-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-45381-1_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45380-4
Online ISBN: 978-3-319-45381-1
eBook Packages: Computer ScienceComputer Science (R0)