* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download SEEGridISRoadmapEnterpriseViewpoint
Operational transformation wikipedia , lookup
Entity–attribute–value model wikipedia , lookup
Semantic Web wikipedia , lookup
Expense and cost recovery system (ECRS) wikipedia , lookup
Data Protection Act, 2012 wikipedia , lookup
Data center wikipedia , lookup
Data analysis wikipedia , lookup
Forecasting wikipedia , lookup
Database model wikipedia , lookup
Information privacy law wikipedia , lookup
3D optical data storage wikipedia , lookup
Enterprise Viewpoint Tim Mackey Web Systems Manager Geoscience Australia Business is the showstopper Technical problems are easy People, skills, time, resources Business processes are hard High level scepticism re “technology driven” approach We need an elevator pitch Challenging established systems – destroying empires Changing legal processes (eg data licensing) Governance The Problem Agency A installs technology X X only supports restricted data formats Format directly reflects data model of stored data “Big Mining” wants the same data theme from Agency A and Agency B over the same locality This can currently only happen if: Agency B also uses software X; Agency B uses the same data model as Agency A, and; These two dependencies will always remain The solution Feature type catalogues Method of accessing these catalogues Community data models (eg Geochemistry XMML) Mechanisms/tools with which to use the community data model SEEGRID roadmap All you need in your databases Translation path from your organisation’s data model into the community data model Web Feature Service (WFS) gets operable feature data from multiple servers Each layer is data, not merely a view: Elevation Cities Country is: _ Name: Italy _ Population: 57,500,000 _ Area: 301,325 sq km ... Borders Multiple thematic data layers GetFeature request: Carl Reed - OGC Business Drivers Reduce time to market Client always gets latest data Client goes to one place for data from multiple data sources No need to know all of the different data sources’ locations, access methods, formats, etc. No need to manage other peoples’ data Save “shop” staff time Advancing Spatial Data Infrastructure Via Interoperable Web Services • Easier access to multiple online info sources and services • Use and reuse different vendor solutions. • Reduce deployment costs Queries extract info by reusing from diverse sources information from other communities • Meet requirements for client access. • Foundation for interoperable service networks Integrated View Whoville Buildings Roads Images Targets Boundaries ... Cedar Lake Whoville Cedar Lake Catalog View Internet Common interfaces enable interoperability Gazetteer Geoparser Geoparser Geoparser Coordinate Transform Other Services Web Mapping Server, Web Feature Server, Web Coverage Server Vendor Data Geocoder Metadata Local Government National Government Other Collections Data Metadata Data Metadata Data Metadata Catalog Services Clearinghouse Clearinghouse Clearinghouse Carl Reed - OGC External links Started the process and established relationships: ASIBA IDP ASDI AEON GEON NERC Datagrid IUGS CGI This project provides a mechanism to understand and share practice with other domains Community of Practice OGC Web Services: Computational View Discovery Client Map Viewer Client Expl. Client Bind Application Clients Find GML Data Type Registry Registry Services Data Instance Registry Service Type Registry Metadata XIMA SLD Service Instance Registry Service SensorML Obs&Meas Capabilities Catalog Image Metadata Encodings Publish WFS Data Services WCS SCS Archives WMS Coverage Portrayal Service Portrayal Services Geocoding Coord. Transf. Service Processing Services Chaining Gazetteer OGC Web Services: Computational View Discovery Client Map Viewer Client Expl. Client Application Clients Find Bind CSIRO/SEEGrid ASDD GML SEE Grid Data Type Registry Data Instance Registry Registry Services Service Type Registry Metadata Encodings Catalog WCS Data Services SCS Archives Coverage Portrayal Service Portrayal Services QLD NRE WA DLI CANRI Image Metadata pmd*CRC ASIBA WMS SLD Service SensorML Obs&Meas Capabilities Publish MCA/ SEEGrid WFS Service Instance Registry XIMA Geocoding Coord. Transf. Service Processing Services Chaining Gazetteer GA WA DLI DSTO Existing policy framework Managing IP Copyright and licensing Acknowledgement of the data source at the destination Data is freely available We still need to know who is using it Business process Workflow Data management Governance Feature type catalogues Conformance Who defines the standards? How are they changed? Repository management Who manages the business process? Who is responsible? What are the rules? Community standards and support technologies Hosting of services and standards What is the level of availability required? Defining an SLA? Issues to discuss “Big Mining” is now reliant on external 3rd parties for its information systems. How does it gain sufficient confidence in SEEGRID for that to happen? Is an SLA sufficient? With whom? Who has governance responsibility for the various components after this demonstrator? Registries Feature Type Catalogues More issues to discuss Rights management – how big an issue is it for your organisation? Acknowledgement of data source in derived products? Chaining services how do we manage indemnity and liability?