1. Workshop on Quality Assurance in Geographical Data Production 1 Proposals for short term research Anders Östman University of Gävle SWEDEN

2. Workshop on Quality Assurance in Geographical Data Production 2 Conclusions from the survey There is a need for improved QA routines Data quality not a strategic issue, discussed at upper management –Outsourcing / subcontractors –User feedback mechanisms Quality of services is an unknown area

3. Workshop on Quality Assurance in Geographical Data Production 3 POSIX OSE-model User interface Business logic (Work flows, processes etc) Other generic services Information services Infra- structure (TCP/IP, HTTP, SOAP, XML-GML UDDI, ebXML etc)

4. Workshop on Quality Assurance in Geographical Data Production 4 Data production today? User interface Business logic Other generic Information services Production line 1 DB Production line 2

5. Workshop on Quality Assurance in Geographical Data Production 5 The start of a SOA User interface Business logic Other generic Information services Production line 1 Oracle Spatial Production line 2 OGC WMS/WFS etc

6. Workshop on Quality Assurance in Geographical Data Production 6 Generic services User interface Business logic Other generic Information services P11 Oracle Spatial OGC WMS/WFS etc P21 P12 P22 EU generic Internal generic

7. Workshop on Quality Assurance in Geographical Data Production 7 R&D proposal? ”Generic” European web services for –QA routines –Feedback of user requests Other services –Implementation of QA routines –Accreditation of subcontractors Benchmarking of database maintenance

8. Workshop on Quality Assurance in Geographical Data Production 8 Maintenance operations Updated database Maintenance Old database Images Other

9. Workshop on Quality Assurance in Geographical Data Production 9 Benchmarking of maintenance operations Benchmark database Maintenance Scrambled database Images Other Recently updated database Data scrambler Evaluator Performance report Resource report

10. Workshop on Quality Assurance in Geographical Data Production 10 Ideas from previous presentations EuroSpec –Quality degradation due to schema translations –From user requirements to quality requirements –Accreditation –Common procedures –Organize feedback & complaints

11. Workshop on Quality Assurance in Geographical Data Production 11 More ideas Language of complaints = language of quality reports? What is the benefit for a producer to include reliable data quality results in metadata Metadata are not understood by users –Tools that give advice to end users (or auditors) Is the quality of this dataset suitable for my needs –From quality elements to usability –Tools for the quality auditor? –Respositories of earlier auditor results (usability gradings)? –Nominal uses (reference services)?