Integrating CERIF entities in a multidisciplinary e-infrastructure for environmental research data Enrico Boldrini a, Daniela Luzi b, Stefano Nativi a, Fabrizio Pecoraro b a Institute of Atmospheric Pollution Research, National Research Council (CNR-IIA), Sesto Fiorentino, Italy b Institute for Research on Population and Social Policies, National Research Council (CNR-IRPPS), Rome, Italy * CRIS Rome, May 2014

 Aims  Background  Two-way Crosswalk  From ISO INSPIRE profile to CERIF  From CERIF to ISO  Proposal of CERIF extension  Proposal of a CERIF profile in ISO  Implementation in a brokering framework  Discussion Index

CRIS Rome, May 2014 Aim From ISO to CERIF: Providing a CERIF guideline for the description of datasets according to the INSPIRE profile ISO From CERIF to ISO: Proposing an ISO profile for contextual research information on the basis of CERIF concepts Extension of the Brokering approach used in environmental e-infrastructures with contextual research information based on CERIF Two way crosswalk: Proposal of different solutions to integrate research context information with environmental datasets

CRIS Rome, May 2014 ISO Geographical Information metadata ISPIRE Metadata Implementing Rules Eu Directive to implement ISO to create a European Union spatial data infrastructure Core set of mandatory and optional metadata and related constraints INSPIRE profile ISO Part of geographical information suite of standards (19100 series) Description of geographic information and services: identification, extent, quality, spatial and temporal schema, spatial reference and distribution of digital geographic data more than 400 metadata elements Provision of rules for valid metadata extensions

CRIS Rome, May 2014 CERIF  Comprehensive conceptual model on research information and related process suitable for different purposes: management, scientific exchange, evaluation …  E-R based, flexible model based on:  Base entities  Semantic layer  Multiple relationships  Constantly maintained by the euroCRIS community CERIF version 1.6

CRIS Rome, May 2014 Challenges Citation CV Prize Qualification ExpertiseAndSkills Equipment Facility Funding Service ElectronicAddresse PostalAddress Country Currency Language Event MetricsIndicator Measurement Different domains scopes structures semantics

CRIS Rome, May 2014 Mapping from INSPIRE ISO profile to CERIF Straightforward  INSPIRE elements have semantically correspondent elements in the CERIF data model Inferential mapping  both INSPIRE and CERIF can refer to a data dictionary/vocabulary that contains semantically shared terms; Convention  the CERIF metadata elements can be accommodated to express some mandatory INSPIRE elements by convention of the parties exposing their metadata

CRIS Rome, May 2014 Semantically correspondent notation with CERIF entity cfResProd and some related elements Automatic discovery and interpretation of datasets exposed in RISs using CERIF model INSPIRE elements INSPIRE Section ISO Path ISO Card. CERIF Path CERIF Card. Dataset titleB1.1MD_Metadata > MD_DataIdentification.citation > CI_Citation.title[1..1] cfResProd > cfResProdName [1..*] Geographic Bounding Box B4.1 MD_Metadata > MD_DataIdentification.extent > EX_Extent > EX_GeographicExtent > EX_GeographicBoundingBox [1..*] cfResProd > cfResProd_GeoBBox > cfGeoBBox [0..*] Abstract describing the dataset B1.2MD_Metadata > MD_DataIdentification.abstract[1..1] cfResProd > cfResProdDescr [1..*] Dataset keywordB3 MD_Metadata > MD_DataIdentification.descriptiveKeywords > MD_Keywords [1..*] cfResProd > cfResProdKeyw [1..*] Unique resource identifier B1.5 MD_Metadata > MD_DataIdentification.citation > CI_Citation.identifier [1..*] cfResProd > cfResProdID [1..1] Resource typeB1.3MD_Metadata.hierarchyLevel[1..*] [fixed by the scope to dataset] Metadata character set-MD_Metadata.characterSet[1..1][fixed to UTF-8] Straightforward mapping

CRIS Rome, May 2014 Information can be inferred using: CERIF semantic layer (cfClassId …) and link entities ISO CodeList dictionary Important to express roles and topics univocally INSPIRE mandatory elements INSPIRE Section ISO Path ISO Card. CERIF Path CERIF Card. CERIF Role specification Dataset responsible party B9 MD_Metadata > MD_DataIdentification.pointOfContact > CI_ResponsibleParty [1..*] cfResProd > cfOrgUnit_ResProd > cfOrgUnit > cfOrgUnitName AND cfOrgUnit_EAddr [AND cfResProd > cfPers_ResProd > cfPers > cfPersName] [1..*] cfClassId ∈ CI_RoleCode (e.g. “custodian”) cfClassSchemeId=”CI_RoleCode” Metadata point of contact B10.1 MD_Metadata.contact > CI_ResponsibleParty [1..*] cfResProd > cfOrgUnit_ResProd > cfOrgUnit > cfOrgUnitName AND cfOrgUnit_EAddr [AND cfResProd > cfPers_ResProd > cfPers > cfPersName] [1..*] cfClassId ∈ CI_RoleCode (e.g. “pointOfContact”) cfClassSchemeId=”CI_RoleCode” Dataset topic category B2.1 MD_Metadata > MD_DataIdentification. topicCategory [1..*]cfResProd_Class[1..*] cfClassId ∈ MD_TopicCategoryCode (e.g. biota) cfClassSchemeId=”MD_TopicCategory Code” Inferential mapping

CRIS Rome, May 2014 Mapping of information on: dataset quality and lineage, temporal reference, language INSPIRE mandatory elements INSPIRE Section ISO Path ISO Card. CERIF Path CERIF Card. CERIF Role specification ConformityB7 MD_Metadata > DQ_DataQuality.report [1..*] cfResProd > cfResProd_Meas > cfMeas > cfMeasName AND cfValJudgeText [1..*] cfMeasName= ‘conformity’ LineageB6.1 MD_Metadata > DQ_DataQuality.lineage > LI_Lineage [1..1] union(cfResProd > cfResProd_Meas > cfMeas > cfMeasDescr) [1..*] cfMeasName= ‘lineage’ Dataset reference date B5 MD_Metadata > MD_DataIdentification.citation > CI_Citation.date [1..*] cfResProd > cfOrgUnit_ResProd > cfOrgUnit > cfStartDate/cfEndDate cfClassId= ‘author institution’ Metadata date stamp B10.2MD_Metadata.dateStamp[1..1] cfResProd > cfOrgUnit_ResProd > cfOrgUnit > cfStartDate/cfEndDate [1..*] cfClassId= ‘publisher institution’ Metadata language B10.3MD_Metadata.language[1..1]cfResProd > cfResProdName > cfLangCode[1..*] Temporal extent B5.1 MD_Metadata > MD_DataIdentification.extent > EX_Extent > EX_TemporalExtent [1..*] From minimum to maximum (cfResProd > cfResProd_Meas > cfMeas > cfDateTime) [1..*] Convention

CRIS Rome, May 2014 New entities related to research products expressing: condition of access and use, limitation on public access dataset language dataset character codes + optional ISO information related to the metadata used A proposal of CERIF extension

CRIS Rome, May 2014 Mapping from CERIF to ISO profile Proposal of extensions according to ISO methodology based on CERIF : project entity publications linked to dataset + expansion of ISO concepts providing more information on Organisations and Persons

CRIS Rome, May 2014 GI-cat discovery broker GI-cat broker technology powers different projects and initiatives: Italian Antactic Data Center (IADC) Italian Special project NextData CNR GIIDA ISPRA catalog of catalogs AfroMaison Global Earth Observation System of Systems (GEOSS) … GI-cat enables scientific data search across different, heterogeneous data sources. Results are profiled according to the desired model.

CRIS Rome, May 2014 Implementation results - GI-cat extensions for CERIF brokers CERIF datasets published according to the CERIF XML Schema exposes the resources brokered returning documents which are conform to the CERIF XML Schema. CERIF Docs

CRIS Rome, May 2014 CERIF Documents stored in a XML repository are brokered by GI-cat and republished according to ISO through the CSW/ISO discovery interface, required by INSPIRE. Test case #1 Publishing CERIF products for INSPIRE Aim: CERIF result products are made available according to INSPIRE ISO profiler CSW/ISO CERIF Docs

CRIS Rome, May 2014 The CERIF profiler enables discovery through an OpenSearch interface. INSPIRE datasets stored in a CSW ISO catalog can be discovered and converted to CERIF XML documents. Test case #2 Porting INSPIRE information to CERIF Aim: INSPIRE datasets are discovered and returned according to CERIF XML Schema CSW/ISO accessor CSW/ISO INSPIRE Catalog

CRIS Rome, May 2014 Testing results

CRIS Rome, May 2014 Summarising some results … 1) Data elements mapped: 16/20 INSPIRE mandatory elements 7 --> straightforward 3 --> inferential 6 --> by convention 6/8 optional elements Discovery of primary data elements based on CERIF Result Product CERIF semantic layer facilitates a flexible application of the model in heterogeneous environments BUT needs specific constraints and rules to establish consistent semantic integration

CRIS Rome, May 2014 Summarising some results … 2) Proposal of introducing a CERIF profile to extend ISO concepts with contextual research information: Projects Datasets associated to publications Implementation and successful test of the GI-cat allows without additional implementation efforts: Integration of ISPIRE datasets in RISs Integration of RISs with environmental dataset systems Future work: service discovery, extending mapping to ISO 19119

CRIS Rome, May 2014 Discussion Proposal of different solutions to be submitted to the euroCRIS community Some further suggestions: Introduction of a specific entity to univocally identify datasets as research products Establish set of rules/procedures to create CERIF valid metadata extensions

CRIS Rome, May 2014 Thank you!