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Open source software (OSS) and software sharing

Open Source Software (OSS) has been a significant trend in IT applications over recent times. While there are many examples of OSS for private and general office use, there appears to be limited statistical OSS applications.

 One of the major constraints for statistical applications relates to the differing operating systems that are used by national statistical organizations. Statistical offices are generally willing to share their software developments with other statistical organizations.

The following documents relate to this subject:

Open Source Software in Electronic Raw Data Reporting

Prepared by Leonhard Maqua, Eurostat, for the
UNECE/Eurostat Work Session on Electronic Raw Data Reporting ( Geneva, 6-8 November 2006).

  Executive Summary

 Open Source Software is of special interest for Statistical Institutions in several aspects:

  • as a source of software products to be used in the statistical process;
  • as a way of co-operation with other statistical administrations in the creation of common software modules
  • as a way of distributing software developed in-house to customers (especially for electronic reporting)

 This paper briefly introduces the open source concept and presents sources for OSS in the public sector and discusses legal aspects and the business model of OSS

Open Source for Statistics –A Stairway To Heaven?

Prepared by Statistics Norway, for the
UNECE/Eurostat/OECD Meeting on the Management of Statistical Information Systems (Geneva, 17-19 May 2004)

  Executive Summary

  On their way to increasing interest in FLOSS (Free/Libre and Open Source Software), governments should lean towards case studies and analyses done to demonstrate the risk and benefits of open software in the public sector. Some technical and organizational matters will be discussed in the paper, and hopefully add valuable aspects to an open-source strategy of any target organization. A concrete collaborative example formed by a number of statistical institutes, the SOS (Statistics Open Standards) Group is described.