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DAWG Goals (1 of 4)

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DAWG Goals (1 of 4)

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  1. DAWG Goals (1 of 4) • Facilitate discovery across distributed data archives • Provide tools to help instructors and learners, parse, process, and visualize datasets • Facilitate the integration of seemingly disparate datasets, and • Facilitate the development and dissemination of educational content that utilizes datasets and datastreams

  2. Principles for Data Access in DLESE (2 of 4) • rely on partnerships for • provision of data sets • provision of technologies & tools • NSDL participation/compatibility • follow patterns that reflect the state of the art • OpenGIS Web-Mapping Testbed • Global Change Master Directory • Digital Earth (Reference Model, etc.) • Distributed Oceanographic Data System (DODS) • Alexandria (Gazeteer, etc.) • NPACI Access Grid • Unidata, VisAD... • enable community participation by emphasize service, beyond end-users of data sets, to • builders of educational materials • builders of applications • providers of data

  3. Principles for Data Access in DLESE (3 of 4) • gain early success • pick a few common data-set types & compatible tools • offer a few representative data sets • augment discovery with a gazeteer • ensure end-to-end effectiveness • place/feature-specific data discovery • tool-specific data discovery • data-specific tool discovery • application-based viewing/analysis (thick client) • browser-based data viewing/analysis (thin client) • but don’t preempt long-term success • employ XML-based metadata harvesting • extensibility for usage metadata... • data sets as nested collections... • ?

  4. Principles for Data Access in DLESE (4 of 4) • aim for long-term success • address key challenges • persistent identifiers • personalized data collections • middleware matching tools to data types • scalability limits on human-generated metadata • follow emerging standards/patterns • support embedding DLESE Data Discovery/Access in applications • create linkages/embedding between data and educational resources • conceptualize/support chains of data derivations/transformations • link strategically to research needs and developments in research • improved data access (remote, real-time, etc.) • facilitated data use (i.e., enhanced usage metadata) • analysis & visualization • integration & synthesis • improved data discovery • NSB report on Environmental Science & Engineering...

  5. Data Access Components of the DLESE Effort • Data Discovery • Create/operate a discovery/characterization environment for data sets & data services • Help providers to expose suitable metadata... • Support creation of personalized data collections • Data Use • Create/operate a tool discovery/characterization environment • Help providers expose data for remote access • Help builders of materials/applications access data • Foster creation of useful data-transformation services • Educational Linkage • interact with other DLESE components • link full spectrum of educational resources, services, and support with data discovery