1. Enrique Solano Márquez SVO Principal Investigator LAEX – CAB / INTA-CSIC The Spanish Virtual Observatory IVOA Interop., Garching, Nov 2009

2. Background Information Aims: Aims: Coordination of the VO-activities of the Spanish institutes. Contact-point for the international VO-projects. Aims: Aims: Coordination of the VO-activities of the Spanish institutes. Contact-point for the international VO-projects. Member of IVOA since June 2004. Member of IVOA since June 2004. Structure: Structure: 9 FTEs. Network at national level: 28 depart. /labs. 112 people. Structure: Structure: 9 FTEs. Network at national level: 28 depart. /labs. 112 people. http://svo.laeff.inta.es

3. Lines of work Development and management of VO-compliant archives Development and management of VO-compliant archives Theory in the VO Theory in the VO VO science VO science Data Mining Data Mining Education and Outreach Education and Outreach Development and management of VO-compliant archives Development and management of VO-compliant archives Theory in the VO Theory in the VO VO science VO science Data Mining Data Mining Education and Outreach Education and Outreach

4. Astronomical Archives in the VO Archives, Theory, VO-Science, DataMining, E&O

5. Astronomical Archives in the VO Archives, Theory, VO-Science, DataMining, E&O

6. Theory Archives, Theory, VO-Science, DataMining, E&O

7. Theory Archives, Theory, VO-Science, DataMining, E&O 11 / 24 theoretical services are provided by SVO Source:Euro-VO census.

8. Theory Archives, Theory, VO-Science, DataMining, E&O

9. Theory Archives, Theory, VO-Science, DataMining, E&O

10. VO-Science Key issue for the Spanish VO. Goal: Liaison between SVO and research groups who have identified scientific drivers to motivate the adoption of a Virtual Observatory methodology in their science cases. SVO role: Evaluation of the science case from the VO point of view. Provision of information about the existing VO tools. If needed, develop new tools. Key issue for the Spanish VO. Goal: Liaison between SVO and research groups who have identified scientific drivers to motivate the adoption of a Virtual Observatory methodology in their science cases. SVO role: Evaluation of the science case from the VO point of view. Provision of information about the existing VO tools. If needed, develop new tools. SVO: One third (7/22) in the last two years. Archives, Theory, VO-Science, DataMining, E&O

11. VO-Science Easy access to multi-λ info. Easy access to models (S3). Easy access to multi-λ info. Easy access to models (S3). Archives, Theory, VO-Science, DataMining, E&O

12. VO-Science Discovery of exotic objects. Access to large databases 2MASS, SDSS, UKIDSS, IPHAS,… Discovery of exotic objects. Access to large databases 2MASS, SDSS, UKIDSS, IPHAS,… Archives, Theory, VO-Science, DataMining, E&O

13. Data Mining OMC OMC COROT COROT GAIA GAIA OMC OMC COROT COROT GAIA GAIA Supervised classification Supervised classification Clustering Clustering Supervised classification Supervised classification Clustering Clustering Knowledge discovery in SOHO and CLUSTER. Knowledge discovery in SOHO and CLUSTER. Data Mining in SDSS: 3-D searches (position and velocity) of isolated galaxies. Data Mining in SDSS: 3-D searches (position and velocity) of isolated galaxies. Knowledge discovery in SOHO and CLUSTER. Knowledge discovery in SOHO and CLUSTER. Data Mining in SDSS: 3-D searches (position and velocity) of isolated galaxies. Data Mining in SDSS: 3-D searches (position and velocity) of isolated galaxies. Archives, Theory, VO-Science, DataMining, E&O

14. Education Archives, Theory, VO-Science, DataMining, E&O

15. Outreach Archives, Theory, VO-Science, DataMining, E&O