1. Introduction to the ESIP Discovery Cluster
Chris Lynnes, Ruth Duerr

2. What Does Discovery Cluster Work On?
Means of finding data and services matching users’ needs
Multiple technologies with similar foundations
Search: OpenSearch (opensearch.org)
Datacasting
Servicecasting

3. ESIP Federated Search
Federated: each provider responds to search requests for their holdings
Built on OpenSearch (
“a collection of simple formats for the sharing of search results”
Based on OpenSearch Description Document (XML)
Specifies syntax and semantics of REST-style search

4. ESIP Conventions for Federated Search
Use of Atom format (RSS under consideration)
Adoption of draft geospatial and time extensions
Method for recursive searching with OpenSearch
Supports 2-step search: dataset, then files
Specific identifiers for data links, metadata links, etc.

5. Two-Step OpenSearch Dataset Directory User File Search Provider
OpenSearch Query
OpenSearch Description Document
User
OpenSearch Query
File Search Provider

6. Datacasting

7. Data and Service Casting
Casting is the dissemination of news through subscription-based syndication formats
Uses Atom, RSS, or any other syndication format
Entries contain enough information for subscribers to access the service or data
Cast feeds can include:
Lists of available data collections
Lists of files available for download
Lists of services (OPeNDAP, OGC, WMS, etc.)

8. Datacasting at JPL Subscribe to RSS, GeoRSS and DatacastingRSS feeds
Filter feeds for a specific need
Cross-feed correlation to create a mashup of data and information related to the same event
Auto-download of relevant data
Registry of GeoRSS and DatacastingRSS feeds

9. Example from NSIDC’s Libre
Datacasting at NSIDC
Example from NSIDC’s Libre

12. ESIP Discovery Governance
Lightweight process based on Discovery Change Proposals (DCP)
Brief comment period
Followed by voting

13. Expert Resources Who you gonna call?
ESIP Federated Search: Chris Lynnes,Hook Hua, Ruth Duerr
Server Construction: Hook Hua, Chris Mattmann
Servicecasting: Brian Wilson, Ruth Duerr
File-level Datacasting: Andy Bingham, Ruth Duerr
Collection-Level Datacasting: Ruth Duerr