1. Implementing the GSIM Statistical Classification model – the Finnish way Essi Kaukonen / Statistics Finland UNECE Workshop on International Collaboration for Standards- Based Modernisation, Workshop 5-7 May 2015, Geneva

2. Essi Kaukonen2 Implementing the GSIM Statistical Classification Model (GSIM SCM) - the Finnish way Where we started from Implementation as a process Changes made to the GSIM SCM in our implementation Lessons learned Essi Kaukonen2 Comparing and Testing Taking into use Exploring Modifying 25/4/2015

3. Starting point Classifications had been centrally managed for two decades Classifications in the central system were used as SAS formats and in dissemination, partly also in statistical systems and in data collection Many classifications were also maintained in separate statistical systems in different ways and formats The Neuchâtel Classification Model had not been used Classifications from our current classifications system were transformed into national CoSSI Classification Model used in dissemination since 2005 Essi Kaukonen325/4/2015

4. Implementation process: Exploring The development of the classification system was going on when we paid attention to the GSIM SCM (at the time called Neuchâtel) A group of classification experts and IT specialists studied the model carefully element by element Translating terms into Finnish was done at the same time, explanatory texts were also partially translated Essi Kaukonen425/4/2015

5. Implementation process: Testing and Comparing The content of the existing classification system was compared to the GSIM SCM and different kinds of classifications were tested  The objects matched  More attributes in the GSIM SCM – many of them useful  More relationships in the GSIM SCM: for example, Parent of and Based on were something what we needed  The model fitted well! Mapping with the national CoSSI Classification Dissemination Model was also done Essi Kaukonen525/4/2015

6. Classification Index Entry Classification Series Correspondence Table Map Classification Index Level Classification Item Classification Index Entry Statistical Classification Correspondences 6 Statistical Classification Correspondence Table Level Classification Item Classification Index Classification Index Entry Classification Series Map Based on GSIM Statistical Classification Model CoSSI Classification (dissemination) Model Classification system from the 1990s 25/4/2015Essi Kaukonen

7. Implementation process: Modifying the GSIM SCM, principles Enabling effective classification management Not to cause too much burden on end users Information about the users of classifications visible Support several languages Classification ”Chains” also in the future system Essi Kaukonen725/4/2015

8. Implementation process: Taking into use The GSIM SCM included what we needed The GSIM SCM was already widely used within statistical organisations The Neuchâtel Classification model was included in the GSIM as the GSIM Statistical Classification model An international model enables international cooperation  The GSIM SCM was adopted into our new SOA-based Classification System Code Lists and Statistical Classifications in the same system – Not nice but can be done  The National Classification System? Essi Kaukonen825/4/2015

9. Modifying the GSIM SCM: a closer look Added elements Creator, Modifier Dates Status Type User Excluded elements Most of the attributes of the Level object Case Laws Some elements of Classification and Classification Item (like Subject areas, Copyright, Derived from, Updates, Updates possible) 9Essi Kaukonen25/4/2015

10. Special solutions in the database: Languages Finnish, Swedish and English are all used in dissemination and data collection In the database: A separate language-table Certain attributes can have several languages New languages can be added Essi Kaukonen1025/4/2015

11. Special solutions in the database: Classification ”Chains” In statistical systems Classification ”Chains” have been used in yearly macros, etc. In the database we have Variant Number, which can be used when referring to these chains of classifications, which are time versions for each other Classification Series: Technical Name + Variant Number + Valid From -date = Unique Classification with Classification Id 11 NACE Rev 1.1 Variant Number=45 NACE Rev. 2 Variant Number=45 NACE Rev.1 Variant Number=45 25/4/2015Essi Kaukonen

12. Lessons learned Takes time, requires exploring and testing The model is complex as there are plenty of relationships also in reality  challenges in application development  careful planning needed Cooperation is needed! (both in-house and external) Meets our requirements! Enables cooperation! Easier to understand the GSIM in general! Essi Kaukonen1225/4/2015