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Interoperability and standards adoption:  FAO’s inputs a) FAO’s experience in the development and adoption of standards b) Current SDMX developments c)  A conjecture: how an e-infrastructure will help Marc Taconet, Anton Ellenbroek, FAO Networking session September 2010 Brussels  (Belgium) www.d4science.eu D4Science-II project  |  Food and Agriculture Organization  of the United Nations
a) FAO’s experience in the development and adoption of standards Various types of standards – FAO either leads development, or adopts specific vocabularies ASFIS list of species ASFA thesaurus name space vocabularies AGMES: Agriculture Metadata Element Set FIMES: Fisheries Metadata Element Set exchange schemas  (this later becomes less and less important in the Linked Open Data world) AGRIS-AP: AGRIS Application Profile FIMES description languages / methodologies RDF  Networking session September 2010, Brussels (Belgium)
a) FAO’s experience in the development and adoption of standards Minimum requirements for successful adoption of standards Involve a “Community of Practice” reaching critical mass, motivated by: common objective value added services for Metadata schemas, facilitate adoption: through Mediators facilitating the articulation of new standard with established practices and standards provide capacity building in developing countries environments Networking session September 2010, Brussels (Belgium)
SDMX is used to achieve specific objectives for statistical data exchange: Describe data providers and their datasets Harmonize often poor and incomplete data and manage provenance Extract and map codes and hierarchies using semantic technologies Transform data to reliable SDMX data Manage SDMX data through a registry Disseminate data-sets b1) Current SDMX developments Networking session September 2010, Brussels (Belgium)
b1) Current SDMX developments FAO has gained experience with SDMX ... ... including perception of its limitations SDMX adaptation is limited by: it’s a complex model,  the changing specifications  the non-comprehensive toolset the small size of the open source community requires changes to ways we handle code lists: e.g. is required formal versioning and historical codelists management Networking session September 2010, Brussels (Belgium)
b2)  enhancing SDMX framework after 18 months of work on SDMX, including through collaboration with Eurostat,  FAO-FI has taken action at FAO corporate level to overcome  ... some of these limitations    Strengthening community of practice OpenSDMX initiated FAO Corporate IT Division now contributes to this effort FAOSTAT3 will strengthen SDMX capabilities in FAO, and collaborating with FAOSTAT3 through OpenSDMX facilitates corporate level adaptation   Networking session September 2010, Brussels (Belgium)
b2)  enhancing SDMX framework in current FAO infrastructure    Facilitating the articulation of SDMX with established standards: SDMX capabilities are strengthened with semantic technologies Flexible, easy to access data structures RDF services to external applications Flexible mapping and transformation services Facilitate machine to machine communication Networking session September 2010, Brussels (Belgium)
b2)  enhancing SDMX framework More potential for SDMX in D4Science infrastructure    additional mechanisms and services that facilitate third-parties in the implementation of standards  SDMX and XML technologies provide a solid base for the collection and management of observational data D4cience offers transformation services Reference data management Registries offer discovery and access Integration with geospatial services RDF for machine to machine communication Networking session September 2010, Brussels (Belgium)
c) a conjecture: how an e-infrastructure will help Context: evolving business needs Ecosystem-based fisheries management    policy making increasingly based on multi-disciplinary information sources Opportunities: ever increasing power of e-infrastructures an ecosystem of data infrastructures enables various communities to cohabitate;  while each community specializes in its own domain, there is incentive to share and use services from other domains.  Networking session September 2010, Brussels (Belgium)
c) a conjecture: how an e-infrastructure will help A scenario that will facilitate the adoption of standards (1): by bolstering  Transformation services  that link across domains,  Statistical, Environmental, GeoSpatial, Social, etc.  Example: SDMX can support time-series data exchange, species data could use DarwinCore, AND they could refer to each other more  ecosystem services  available will attract more users  these users will be “passive” adopters of standards through  mediators Editing interfaces for registering time series in SDMX format Harmonization of vocabularies among existing classifications the community which shares maintenance and development effort will seek to minimize the number of standards  Networking session September 2010, Brussels (Belgium)
c) a conjecture: how an e-infrastructure will help A scenario that will facilitate the adoption of standards (2): this move might be facilitated by the intrusion of semantic web and Linked Open Data (LOD) environments high computing power  will facilitate an increased development of LOD with LOD, adoption of standards focuses more on the strengthening of vocabularies and resource description framework in a LOD environment, data exchange schemas loose importance Networking session September 2010, Brussels (Belgium)
For discussion in Networking session 1. Which set of core standards for e-infrastructures which are the major types of standards we think will have to be handled (eg SDMX, DarwinCore, Spatial standards, ISO19115, ....)  which information domains can SDMX realistically fulfil Statistical time-series Extend to observational data: vessel recordings, trade, species ? 2. Which role for Linked Open Data and RDF framework in e-infrastructures ? Networking session September 2010, Brussels (Belgium)

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Interoperability and standards adoption FAO’s inputs (ICT2010 Networking Session)

  • 1. Interoperability and standards adoption: FAO’s inputs a) FAO’s experience in the development and adoption of standards b) Current SDMX developments c) A conjecture: how an e-infrastructure will help Marc Taconet, Anton Ellenbroek, FAO Networking session September 2010 Brussels (Belgium) www.d4science.eu D4Science-II project | Food and Agriculture Organization of the United Nations
  • 2. a) FAO’s experience in the development and adoption of standards Various types of standards – FAO either leads development, or adopts specific vocabularies ASFIS list of species ASFA thesaurus name space vocabularies AGMES: Agriculture Metadata Element Set FIMES: Fisheries Metadata Element Set exchange schemas (this later becomes less and less important in the Linked Open Data world) AGRIS-AP: AGRIS Application Profile FIMES description languages / methodologies RDF Networking session September 2010, Brussels (Belgium)
  • 3. a) FAO’s experience in the development and adoption of standards Minimum requirements for successful adoption of standards Involve a “Community of Practice” reaching critical mass, motivated by: common objective value added services for Metadata schemas, facilitate adoption: through Mediators facilitating the articulation of new standard with established practices and standards provide capacity building in developing countries environments Networking session September 2010, Brussels (Belgium)
  • 4. SDMX is used to achieve specific objectives for statistical data exchange: Describe data providers and their datasets Harmonize often poor and incomplete data and manage provenance Extract and map codes and hierarchies using semantic technologies Transform data to reliable SDMX data Manage SDMX data through a registry Disseminate data-sets b1) Current SDMX developments Networking session September 2010, Brussels (Belgium)
  • 5. b1) Current SDMX developments FAO has gained experience with SDMX ... ... including perception of its limitations SDMX adaptation is limited by: it’s a complex model, the changing specifications the non-comprehensive toolset the small size of the open source community requires changes to ways we handle code lists: e.g. is required formal versioning and historical codelists management Networking session September 2010, Brussels (Belgium)
  • 6. b2) enhancing SDMX framework after 18 months of work on SDMX, including through collaboration with Eurostat, FAO-FI has taken action at FAO corporate level to overcome ... some of these limitations  Strengthening community of practice OpenSDMX initiated FAO Corporate IT Division now contributes to this effort FAOSTAT3 will strengthen SDMX capabilities in FAO, and collaborating with FAOSTAT3 through OpenSDMX facilitates corporate level adaptation  Networking session September 2010, Brussels (Belgium)
  • 7. b2) enhancing SDMX framework in current FAO infrastructure  Facilitating the articulation of SDMX with established standards: SDMX capabilities are strengthened with semantic technologies Flexible, easy to access data structures RDF services to external applications Flexible mapping and transformation services Facilitate machine to machine communication Networking session September 2010, Brussels (Belgium)
  • 8. b2) enhancing SDMX framework More potential for SDMX in D4Science infrastructure  additional mechanisms and services that facilitate third-parties in the implementation of standards SDMX and XML technologies provide a solid base for the collection and management of observational data D4cience offers transformation services Reference data management Registries offer discovery and access Integration with geospatial services RDF for machine to machine communication Networking session September 2010, Brussels (Belgium)
  • 9. c) a conjecture: how an e-infrastructure will help Context: evolving business needs Ecosystem-based fisheries management  policy making increasingly based on multi-disciplinary information sources Opportunities: ever increasing power of e-infrastructures an ecosystem of data infrastructures enables various communities to cohabitate; while each community specializes in its own domain, there is incentive to share and use services from other domains. Networking session September 2010, Brussels (Belgium)
  • 10. c) a conjecture: how an e-infrastructure will help A scenario that will facilitate the adoption of standards (1): by bolstering Transformation services that link across domains, Statistical, Environmental, GeoSpatial, Social, etc. Example: SDMX can support time-series data exchange, species data could use DarwinCore, AND they could refer to each other more ecosystem services available will attract more users these users will be “passive” adopters of standards through mediators Editing interfaces for registering time series in SDMX format Harmonization of vocabularies among existing classifications the community which shares maintenance and development effort will seek to minimize the number of standards Networking session September 2010, Brussels (Belgium)
  • 11. c) a conjecture: how an e-infrastructure will help A scenario that will facilitate the adoption of standards (2): this move might be facilitated by the intrusion of semantic web and Linked Open Data (LOD) environments high computing power will facilitate an increased development of LOD with LOD, adoption of standards focuses more on the strengthening of vocabularies and resource description framework in a LOD environment, data exchange schemas loose importance Networking session September 2010, Brussels (Belgium)
  • 12. For discussion in Networking session 1. Which set of core standards for e-infrastructures which are the major types of standards we think will have to be handled (eg SDMX, DarwinCore, Spatial standards, ISO19115, ....) which information domains can SDMX realistically fulfil Statistical time-series Extend to observational data: vessel recordings, trade, species ? 2. Which role for Linked Open Data and RDF framework in e-infrastructures ? Networking session September 2010, Brussels (Belgium)

Editor's Notes

  • #2: What FAO is What it does
  • #3: FAO has established partnerships and a long track in data management, such as Country statistical offices Regional Fisheries Bodies UN and other international agencies Regional organizations Scientific and/or research institutes AGRIS application profile AgMES is a “namespace vocabulary”. The semantics of specific elements are defined in AgMes.  Also specific schemes/vocabularies are defined in AgMes.  I.E.  ASFIS and AGROVOC are schemes registered in AgMES,  “CreatorCorporate” is an element semantically defined in AgMES. AgMES is not an exchange schema, but the AGRIS-AP is an exchange schema, that takes elements from various namespaces. The Resource Description Framework (RDF) is a family of World Wide Web Consortium (W3C) specifications originally designed as a metadata data model . It has come to be used as a general method for conceptual description or modeling of information that is implemented in web resources, using a variety of syntax formats.
  • #7: as a result of its involvement in D4Science and collaboration with Eurostat, FAO-FI has taken action at FAO corporate level to overcome ... some of these limitations
  • #10: ecosystem services, such as: Shared reference data management , Standardization and harmonization of data, Data sharing and publication agreements, Technical data management; synchronization, polling
  • #11: ecosytem services, such as: Shared reference data management , Standardization and harmonization of data, Data sharing and publication agreements, Technical data management; synchronization, polling
  • #12: ecosytem services, such as: Shared reference data management , Standardization and harmonization of data, Data sharing and publication agreements, Technical data management; synchronization, polling