220 likes | 339 Views
Environmental Information Data Centre: enabling the discovery of CEH-held data John Watkins Deputy Director EIDC . CEH monitoring and data collection. As diverse as our science Micro- to macro-scale Many sources: Monitoring campaigns 180+ field sites State-of-the-art facilities
E N D
Environmental Information Data Centre: enabling the discovery of CEH-held data John Watkins Deputy Director EIDC
CEH monitoring and data collection As diverse as our science Micro- to macro-scale Many sources: Monitoring campaigns 180+ field sites State-of-the-art facilities Regulator networks Volunteers Model outputs Long-term and unique 10µm River Lambourn, Boxford
CEH data coordination – in partnership Land Cover Map NRFA
National River Flow Archive Query & visualisation tools View & download (data access) Linked data and integration Metadata catalogue (data discovery) Other Data NERC Environmental Bioinformatics Centre Environmental Change Network NERC Designated Data Centre Data CEH data Biological Records Centre CEH data • EIDC Data Hub Users UK Gov Catalogue NERC Catalogue Web Access CEH Information Gateway Long-term Storage and Curation EIDC Data Hub Data Transfer Process
Data citation via the Data Hub “.....the data have been allocated a digital object identifier (http://dx.doi.org/10. 5285/1a91c7d1-ec44-4858-9af2-98d80f169bbd).”
Harmonising data definitions CEH Analytical Services Thesaurus (CAST) No specified vocabulary!
Making definitions open access CEH Analytical Services Thesaurus (CAST) • Created to Simple Knowledge Organization System (SKOS) W3C standard • Designed to describe • whole process • Top concepts: • determinands • machine descriptions • measurement units • methods • filtration • preservation
Resource oriented discovery CEH Analytical Services Thesaurus (CAST) • SKOS allows links to externally hosted vocabularies e.g. ChEBI • adds further value to datasets tagged using CAST, as they can be integrated with datasets tagged using concepts from linked vocabularies
Enabling complex environmental queries Web as a research data resource
Issues & challenges Researchers can ask complex questions across diverse data sources using LOD How to incentivise data providers to document & tag data => buy-in (e.g. DOIs)! Tools to automate the process, tagging at source/time of creation (e.g. LIMS) Automating the creation of semantic information for legacy data using diverse information sources (e.g. text mining of past reports and science papers)