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Data Quality Management Plan for GEOSS - Enhancing Data Quality Through Collaborative Efforts

This plan outlines mechanisms for eliciting data quality in GEOSS, including metadata extraction, collocation of data sets, computation of quality indicators, and user feedback. Tasks involve extracting quality information from metadata, developing collocation methodologies, computing quality indicators, and integrating user feedback mechanisms. Main activities include developing software tools, exploring spatially varying quality indicators, and establishing a user rating system for data quality. The plan also addresses issues such as scope, responsibilities, and integration with the GEO portal. Key next steps include defining work scope and responsibilities for partners.

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Data Quality Management Plan for GEOSS - Enhancing Data Quality Through Collaborative Efforts

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  1. Plans and targets for WP3:Data quality elicitation mechanisms Dan Cornford d.cornford@aston.ac.uk Aston University Birmingham, UK

  2. Overview of WP3 • Main tasks [partners] • Task 3.1 Metadata extraction quality component [CREAF, UAB, S&T] • Task 3.2 Semi-automatic collocation including EO and in-situ (CAL/VAL) data [AST, S&T, 52N, UREAD] • Task 3.3 Computation and validation of quality indicators for continuously-valued data[AST, 52N, UREAD, S&T] • Task 3.4 Quality indicators for categorical variables [AST, 52N] • Task 3.5 User feedback and quality assessment of data sets in GEOSS [FRAUN, S&T, AST, CREAF]

  3. Task 3.1 Metadata extraction quality component[CREAF, UAB, S&T] • Main activities • extract quality information from existing metadata using model developed in Task 6.1 (UncertML in metadata) • provide a common model for all metadata based on ISO19115 – links to GIcat (CNR)? • provide a software tool to help harvest existing metadata and integrate this into a common model • Issues • who does what • links to existing software

  4. Task 3.2 Semi-automatic collocation including EO and in-situ (CAL/VAL) data[AST, S&T, 52N, UREAD] • Main activities • develop methodology for collocation of data sets, in particular gridded data using space-time interpolation methods (data assimilation?), supporting uncertainty and spatial support • implement a software tool for continuous valued variables that allows collocation of observations, particularly for gridded data, but also for point sensor observations • Issues • who will do what: AST / 52N develop theory, 52N / S&T implement, UREAD requirements?

  5. Task 3.3 Computation and validation of quality indicators for continuously-valued data[AST, 52N, UREAD, S&T] • Main activities • use tool from Task 3.2 to compute quality indicators – to populate quality metadata – implement as a service • explore the possibility of developing more sophisticated, e.g. spatially varying quality indicators, consulting users • create a software tool to validate quality indicators statistically • Issues • who will do what: AST / 52N develop theory, 52N / S&T implement, UREAD requirements? • how does this link to the GEO portal?

  6. Task 3.4 Quality indicators for categorical variables[AST, 52N] • Main activities • extend tool from Task 3.2 to compute collocations for discrete valued (categorical) observations • enhance tool from Task 3.3 to compute quality indicators for categorical variables – to populate quality metadata – implement as a service • Issues • who will do what: AST / 52N develop theory, 52N implement? • what is the scope and how sophisticated will the tool be?

  7. Task 3.5 User feedback and quality assessment of data sets in GEOSS[FRAUN, S&T, AST, CREAF] • Main activities • develop a system for user rating of data quality • integrate with GEO portal to enable users to add their ratings and comments to existing data resources • Issues • who will do what: FRAUN, S&T implement, AST provide guidance on trust and ecommerce, CREAF requirements? • what is the scope and how sophisticated will the tool be? • how linked in will it be with the GEO portal?

  8. Issues and next steps • Need to define the scope of the work. • Need to define the responsibilities • CREAF – metadata collection • AST – statistical aspects • 52N – implementation • UREAD – requirements and implementation? • S&T – integration and implementation • I will be talking to you all!!!

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