1 / 8

Plans and targets for WP3: Data quality elicitation mechanisms

Plans and targets for WP3: Data quality elicitation mechanisms. Dan Cornford d.cornford@aston.ac.uk Aston University Birmingham, UK. Overview of WP3. Main tasks [partners] Task 3.1 Metadata extraction quality component [CREAF, UAB, S&T]

kedem
Télécharger la présentation

Plans and targets for WP3: Data quality elicitation mechanisms

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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!!!

More Related