1. Networks and Information Models Roma 04-12-2012 Georges Pongas

2. « Networking » Cross cutting project Value added services for exchange of - statistical information including confidential data among ESS partners --at reasonable cost --with security --with high reliability --backbone of future infrastructure 2

3. Current situation Edamis/Stadium/Statel -conceived in late 80’s -runs at Eurostat servers and is based on a virtual system -satisfies confidentiality requirements -current monthly workload :15GB 3

4. VIPS Needs Accomodate requirements for ICT, EGR, VIPV, SIMSTAT meaning: -an increase of the throught to at least 100GB -implementing a symmetric behavior in the data exchange -implement exchange behavior to the VIP applications 4

5. Objectives Create at ESS level a secured network for large amounts of data Apply SOA principles to insure extensibility and modularity Give facilities for future applications integration Apply synergies (reuse existing successful initiatives such as CCN/CSI) to diminish costs 5

6. Planning Preparatory work to cover the needs of SIMSTAT (2013-2015) Finalize the system to integrate all the ESS VIP projects (2016-2017) 6

7. Information Models Foundation Interoperability of processes and applications requires that the transfered information is described Common information models are the backbone of a cross cutting infrastructure where many stakeholders are implicated. 7

8. Current Situation Most ESS data do not use a standard information model Some transmissions use CSV with variables description located in independent data transmission guides Gesmes transmissions depend on inaccessible DBs. SDMX increased use to note. 8

9. (Continued) There is no common standard agreed fot the description of register or microdata files There is no standard for the trasmission of complex edit rules DDI, the dominant initiative for describing microdata, is not used by the ESS. 9

10. (Continued 2) The Generic Statistical Information Model (GSIM) aiming to cover all statistical objects is under development GSIM is aligned with DDI and SDMX without being tied to implementation details. 10

11. The needs Insure coherence among ESS projects Insure interoperability between information systems Be generic enough to describe all statistical data structures (micro, macro, meso and meta) Be mappable to DBMSs Provide links between formats 11

12. Project Benefits Integration of data and metadata makes easy : To locate and retrieve data To write applications reading and writing data To write complex statistical applications 12

13. Project Objectives To remain a non informatics project Gather all the information SDMX, DDI, GSIM Transmit relevant knowledge through seminars and summarizing documents distribution Create guidelines for transactionsl/register data descriptions Create guidelines for DDI use inside the ESS Analyse limitations of SDMX and possible synergies with DDI 13

14. (Continued) Time series handling extensions of the current initiatives. Metadata storage needs analysis Analysis of CORE and GSIM outputs Define an information model for process descriptions ….. 14