David Schade Canadian Astronomy Data Centre Data Services Curation Practice and User Metrics.

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Presentation transcript:

David Schade Canadian Astronomy Data Centre Data Services Curation Practice and User Metrics

Services Assessment Schade & Arviset In 2006 Executive Committee agreed that we produce a survey to assess the state of implementation of services –Registries –SIAP –ConeSearch How widely are these implemented? Are these services compliant? The report was delivered at Interop 2007 and discussed by Exec Comm

Services Assessment Schade & Arviset Simple Image Access: 128 Implementations

Services Assessment Schade & Arviset ConeSearch: 441 Implementations –81% Fully compliant –19% Not compliant SSAP –Early implementations –Usually not fully compliant

Services Assessment Schade & Arviset ConeSearch: 441 Implementations –81% Fully compliant –19% Not compliant SSAP –Early implementations –Usually not fully compliant SLAP –4 v0.5 prototype implementations –All fully compliant

Services Assessment Schade & Arviset IVOA Registries: harvesting and keyword search Most found to be mostly compliant pre-v1.0 and in the process of upgrading in

Services Assessment Schade & Arviset Simple Image Access: 207 Implementations –100 fully compliant –73 mostly compliant –34 not compliant –(found problems with our own SIA services at CADC) Registries were very difficult to use to find all SIA Services that have been de-registered still appear

Services Assessment Schade & Arviset Recommendations of 2007 report –The goals of implementation should be Full Compliance……. Not less –Non-compliant services should be flagged in the registries –IVOA needs to release stable versions of protocols in clear and unambiguous language –Automated curation tools should be created for VO services –Issues of backward compatibility or a supported portability path should be considered by WGs –IVOA needs an ongoing effort to assess progress toward wide implementation of fully compliant services

Metrics of Success The IVOA will be demonstrated to be a success when thousands of astronomers use services based on IVOA-developed standards as part of their daily work The IVOA should develop a strategy to measure its progress toward success by measuring the growth of service usage by astronomers Usage statistics provide feedback mechanism into the development process Proposal for VO Implementation Working Group

Metrics of Success CADC Statistics: “VO” Access (SIA) < 1% of total usage by file/volume “Programmatic access is > 80% by volume

Metrics of Success CADC Statistics: We need more high-quality collections in SIA 18% of users tried SIA 150,000 SIA queries in 2008

Metrics of Success CFHT data (MegaPrime Camera): 96.4 Terabytes delivered in 2008 Among “normal” users of CFHT Legacy Survey data: –Raw data was 1.7% of the data downloads –Processed data was 98.3% >>>> Advanced Data Products are wanted Among PI users of CFHT –Raw data was 37.7% of the data downloads –Processed data was 62.3% >>>> Different behaviour

CADC Data Flows (last week)

Metrics of Success To establish an inclusive international group that will: 1) Monitor, evaluate, and report on implementations of VO standards and protocols 2) Compile statistics on usage of VO-based services and report back to Exec. 3) Produce an annual status report on VO implementation of IVOA standards (and other related developments) 4) Advise Exec on how TCG and developer effort may be better focused on the most important problems. 5) Produce an annual status report on VO implementation of IVOA standards (and other related developments) 6) Produce proposals to Executive Committee on specific actions to improve the success of the IVOA

Deliver 2 Terabytes per week to users 2500 distinct users 87 countries Serve all Canadian astronomy research universities Largest astronomy data centre in the world (by data volume) CADC HSTCFHT JCMT CGPS FUSEMOST Gemini BLAST MACHO

Strategic Goals Strengthen engagement between CADC and the university community Make the grid a useful facility for observational astronomy 16

Risks Closer engagement with university community brings risks to CADC and to science teams The Grid (Compute Canada) will find it difficult to adapt to Observational Astronomy CANFAR will find it hard to adapt to the Grid CANFAR-CANARIE interaction is challenging.