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IES - Institute for Environment and Sustainability Ispra - Italy ies.jrc.ec.europa.eu/

JRC Place on dd Month YYYY – Event Name. 1. Joint Research Centre (JRC). IES - Institute for Environment and Sustainability Ispra - Italy http://ies.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/. WORK IN PROGRESS. AFOLUDATA Data/metadata “handling” in the Climate Change Unit.

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IES - Institute for Environment and Sustainability Ispra - Italy ies.jrc.ec.europa.eu/

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  1. JRC Place on dd Month YYYY – Event Name 1 Joint Research Centre (JRC) IES - Institute for Environment and Sustainability Ispra - Italy http://ies.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/

  2. WORK IN PROGRESS AFOLUDATAData/metadata “handling” in the Climate Change Unit Leip A. :: Marchi G. :: Sanmartin F. and other CCU contributors CCU - IES - DG JRC November 20th, 2008

  3. AFOLUDATA background • Commission Decision 2005/166/EC • Implementing Commission Decision 280/2004/EC • JRC scientific and technical support in LULUCF (Land Use, Land Use Change and Forestry) • JRC task in EC GHG Monitoring Mechanism • Project “Green House Gases in Agriculture, Forestry and Other Land Uses” (GHG AFOLU) • Understand and quantify better agriculture and forestry role in Climate Change mitigation • Information system of JRC project GHG AFOLU

  4. AFOLUDATA broad objectives • Sharing of EU data sets, models, tools • Transparent, complete, consistent and comparable estimates of GHG emissions and removals • Data harmonization and distribution • GHG inventory stakeholders, scientists

  5. AFOLUDATA objectives • Overview on CC related policy and bodies (esp. EU level and AFOLU sector) • Info on research projects to understand and quantify the GHG balance of EU terrestrial ecosystems and associated uncertainty at different scales • Databases and tools for carbon stocks in LULUCF and GHG fluxes assessment in EU AFOLU sector (different methods)

  6. Data management & documentation • Preparation • Storage • Maintenance/update • Elaboration & analysis • Distribution (import/export)

  7. Need for metadata • Indexing and inventory • Description for application • Search (speed, gaps, redundancy) • Reliability and currency • Exchange and compatibility • Ease of use

  8. Metadata definitions • Information, or data, about data • A summary document providing content, quality, type, creation, and spatial information about a data set • Structured, encoded data that describe characteristics of information-bearing entities to aid in the identification, discovery, assessment, and management of the described entities

  9. “To provide a clear procedure for the description of digital geographic datasets so that users will be able to determine whether the data in a holding will be of use to them and how to access the data” ISO 19115

  10. Proper data use and effective retrieval To facilitate data organization and management To provide information about an organization’s database to others ISO 19115

  11. Which data about data • Source (originator, components) • Extent (coordinates, countries) • Time reference • Keywords (search, description) • Documentation • Quality (uncertainties, limitations) • UOM…

  12. Storage/search Data distribution NEU partners " results/models ≠ access To be finalized ≠ functions Bug fix ≠ look&feel (DG) AFOLUDATA web portal http://afoludata.jrc.ec.europa.eu

  13. Metadata review Data review Description Extent Format Availability ... Access options (Disclaimer) (Download) AFOLUDATA data page http://afoludata.jrc.ec.europa.eu

  14. Upload Data/metadata Preview Thumbnail Data framework Access setting Editor download AFOLUDATA upload page http://afoludata.jrc.ec.europa.eu

  15. Data types • Spatial • Vector (shapefiles) • Raster (grids) • ... • Tabular • dbf • csv • Metadata

  16. Very linear Not customizable ArcGIS needed Same for add-on ArcGIS metadata module

  17. AFOLUDATA metadata editor • Light stand-alone application (~0.5MB) • Extensible Markup Language (XML) • GUI support in XML compiling • Check for missing data • Editable source code • Edit XML or create from scratch (tables) • Logical tab-structure • Next: feature requests and GUI testing

  18. AFOLUDATA metadata editor

  19. AFOLUDATA metadata editor

  20. AFOLUDATA metadata editor

  21. AFOLUDATA metadata editor

  22. AFOLUDATA metadata editor

  23. AFOLUDATA metadata editor

  24. Data samples • Homogeneous Spatial Mapping Units • HSMUs, EU15 + EU12 - CY - MT • Nitroeurope Classification Units • NCUs, EU15 + EU12 + CH + NO + “Balkans” • Common Agricultural Policy Regional Impact land use maps • CAPRI, HSMU level • N deposition (EMEP/ATEAM-MARS) • PedoTransfer Rule DataBase (PTRDB)

  25. Homogeneous Spatial Mapping Units Multipart polygons 1km2 9-digit code 3-2-3-1 Admi (FSS NUTS 2/3) LC (CORINE 2000) Soil (ESDB SMU) Slope (CCM DEM) HSMUs

  26. HSMUs EU15: 63,904 from 100105453 to 662939912 EU12: 143,535 from 100605871 to 292917432 Example 6 parts 8km2 HSMUs YOU ARE HERE

  27. Nitroeurope Classification Units Multipart polygons 1km2 9-digit code 3-4-1-1 Admi (FSS NUTS 2/3) Soil (ESDB SMU) Slope (CCM DEM) Delta (CCM DEM) NCUs

  28. NCUs EU27: 40,991 from 100249520 to 932330350 Example 12 parts 316km2 NCUs YOU ARE HERE

  29. End-users and data application • University of Udine • CarboItaly - BIOME-BGC • Central Science Laboratory, UK • Pests evaluation in Europe • MPI fuer Biogeochemie • N2O fuzzy-model • JRC • AGRI4CAST, Less Favored Areas definition

  30. … a (dark) side note • “Metacrap” (Cory Doctorow, 2001) • People lie • People are lazy [and/or busy, GM] • People are stupid • Mission Impossible: know thyself • Schemas aren't neutral • Metrics influence results • There's more than one way to describe something

  31. Bottom line • “Metadata can be quite useful, if taken with a sufficiently large pinch of salt.” (Cory Doctorow, 2001) • Avoid subjectivity (... easy to say) • Cost/benefit evaluation • *Not* collecting metadata is a pity… • *Though* collecting them can be a pain! • Patience, diligence or “librarian passion”

  32. So what • Metadata collation and collection is paramount for proper data management • Better data storage and retrieval • User feedback and contribution • Distribute effort among providers • More resources until full operation

  33. Five stages of a project • Stage 1: Excitement, euphoria • Stage 2: Disenchantment • Stage 3: Search for the guilty • Stage 4: Punishment of the innocent • Stage 5: Distinction for the uninvolved • (Author unknown but believed to have perished in Stage 4) WE ARE AROUND HERE I WILL BE OUT OF JRC

  34. Thanks Questions only after drinking

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