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National Institute of Statistics, Geography and Informatics (INEGI) Implementation of SDMX in Mexico.

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Presentation on theme: "National Institute of Statistics, Geography and Informatics (INEGI) Implementation of SDMX in Mexico."— Presentation transcript:

1 National Institute of Statistics, Geography and Informatics (INEGI) Implementation of SDMX in Mexico

2 ROLES OF INEGI INEGI is a federal office that coordinates the production, standardization and dissemination of all statistical and geographical information of national interest 1. Main producer of statistical and geographical information of Mexico 2. Coordinator of other statistical information production Units

3 REASONS TO ADOPT SDMX IN MEXICO Practical for many projects Provides tools to improve statistical data and metadata exchange

4 IMPLEMENTATION KEY FACTORS Publicity of the standard Comprehension of the standard Perception of usefulness Adoption by a big enough group Multidisciplinary approach Application to real projects

5 EXPERIENCE OF IMPLEMENTATION Development of a common base of knowledge about the standard Meetings about the initiative Conceptual workshops Technical workshops Application on small projects to test the concept Simple applications Only basic parts of the standards Use of generic structures provided by the standard Evaluation of the project Dissemination of the results Incorporation to more complex projects

6 CURRENT PROJECTS Exchange of economical information with Bank of Mexico and SHCP (Federal Treasure Department) Web service for querying of information in SDMX from the indicators database (Statistical Data Warehouse) Website for statistical information exchange with OECD

7 WEBSERVICE FOR INFORMATION EXCHANGE AMONG BANK OF MEXICO, SHCP AND INEGI SHCP BANK OF MEXICO.NET Client Java Client Internet Database server Web Services server INEGI Firewall Different platforms support Bank of Economical Indicators (BIE)

8 EXTRACTION OF INFORMATION FROM THE STATISTICAL DWH AS SDMX FILES User Intranet SDMX file Indicators IDs Java Client Oracle database server Web Services server OAS10.1.3 Java DWH Indicators Database (Data and Metadata) Web Service Makes the query of the time series on SDMX format Web Application Selection of indicators Receives an XML file to use it as needed

9 WEBSITE FOR INFORMATION EXCHANGE WITH INTERNATIONAL ORGANIZATIONS By now, we are working on the exchange of statistical information with OECD The Website is part of the SISNIEG (The Information System of the National System of Statistical and Geographical Information) Its a mean of coordination among Mexican statistical information production units Collaboration with the Ministry of Foreign Affairs of Mexico (SRE) Our contribution to the NAWWE project is being developed and will be part of the site

10 IMPLEMENTATION STAGES 1. Integration of data from the different government offices in the site using existing formats 2. Gradual transformation of the information to SDMX formats 3. Development of web services to automate the information exchange







17 ACHIEVEMENTS The areas of statistical information production from INEGI have been capacitated on basic SDMX issues 23 offices have already a login and a password to deposit information About 60 persons from 30 federal offices have been trained on SDMX issues Conceptual aspects Transformation of indicators to SDMX ML compact model Some producers have started to put information in the site Some of this information has been converted to SDMX files already

18 INFORMATION SYSTEM FOR THE NATIONAL SYSTEM OF STATISTICAL AND GEOGRAPHICAL INFORMATION (SISNIEG) It will be a nationwide system that will support: Production of statistical and geographical information Coordination of Mexican information producers Dissemination of statistical and geographical information of national relevance providing easy access mechanisms Promotion statistical and geographical information use and knowledge Information safeguard SDMX has been adopted as part of its technological architecture The website for international information exchange is part of this system

19 Logical Networks of the Mexican Statistical and Geographical System Collaborative Network International Information Exchange Network Network of Public Information Service Dissemination Systems Collaboration and Information Exchange Systems User INEGI´s Repository to Public Service Information Mexican Statistical and Geographical Information Services Portal Collaborative Portal of the Mexican Statistical and Geographical System Historical Information Network

20 DESCRIPTION OF OUR APPROACH 1. Awareness of the standard and development of skills 2. Development of projects 3. Addition of new adopters 4. Return to the first step

21 PROCESS KEY DRIVERS Collegiate teams (participation of people from statistics, technologies, etc. and from institutions with different attributions) Perceived utility Capacity development (task force, skills, etc.) No added costs (the standard is part of the projects that we already need to develop) Make the standard adoption very easy to follow (gradual adoption, incremental projects, structures designed from simple to complex, from simple files to elaborated systems)

22 FUTURE OF SDMX IN INEGI Development of the SISNIEG New agreements with other Mexican Institutions to establish electronic information exchange projects Addition of NAWWE information Evolution of the international information exchange site

23 CONCLUSIONS Sharing of gained experience on SDMX implementation with other organizations is helpful to improve our development processes. Its difficult to find information like internationally agreed Data Structure Definitions and Code lists for certain domains. A repository with this information would be very useful. Implementation of SDMX is not only about technological issues. We need documentation suitable for people from different backgrounds. Existing documents like the content oriented guidelines and the implementation guides are useful, but we also need some executive papers focused on persuading high levels of the organizations to support this initiative. SDMX is a set of standards in a maturation process that has been evolving. SDMX is robust enough to be considered as a technological driver to support big statistical projects that involve information exchange.

24 QUESTIONS AND COMMENTS… Contact: Juan Muñoz López

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