Metadata Evaluation and Improvement
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For many years metadata development activities have focused on developing and sharing metadata for discovering data. This is important. Once data are discovered, metadata supporting use and understanding become important. Efforts to encourage scientists and data providers to create those metadata have had limited success. This talk describes some approaches and tools for supporting the organizational change efforts required to integrate use and understanding metadata into organizational cultures. These approaches are described in terms of the ideas presented in Switch: How to Change Things When Change is Hard.
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Metadata Evaluation and Improvement
- 1. Metadata Evaluation and Improvement Ted Habermann Director of Earth Science The HDF Group thabermann@hdfgroup.org What looks like a people problem is often a situation problem. To change someone’s behavior, you’ve got to change that person’s situation. January 8-10, 2014 ESIP Winter 2014 1
- 2. Change Efforts Have Two Targets Direct the Rider Motivate the Elephant January 8-10, 2014 ESIP Winter 2014 2
- 3. Point to the Destination Complete Documentation Can Be Overwhelming
- 4. Point to the Destination DocumentationRewards Card Discovery January 8-10, 2014 Use ESIP Winter 2014 Understanding 4
- 5. Find the Feeling DocumentationRewards Card Discovery Use Understanding Your data are important for science. Complete documentation makes them trustworthy. January 8-10, 2014 ESIP Winter 2014 5
- 6. Shrink the Change DocumentationRewards Card X Discovery Use Understanding Your data are important for science. Complete documentation makes them trustworthy. January 8-10, 2014 ESIP Winter 2014 6
- 7. Shrink the Change DocumentationRewards Card Identification Connection Extent Content X X X XX X XX X X XXX X Lineage Acquisition Your data are important for science. Complete documentation makes them trustworthy. January 8-10, 2014 ESIP Winter 2014 7
- 9. Script the Critical Moves Discovery Identification Id Title Abstract Resource Date Topic Category Theme Keyword Metadata Contact Science Contact Extent Geospatial Bounding Box Temporal Start/End Vertical Min/Max Place Keywords Connection OnlineResource: Linkage (URL) Name Description Function Understanding Text Searches Purpose Extent Description Lineage Statement Project Keywords Distribution Distributor Contact Online Resource Distribution Format Data Center Keywords Browse Graphic Content Information Attribute Type Attribute Names Attribute Definitions Attribute Units Acquisition Information Instrument Platform Instrument Keywords Platform Keywords Quality/Lineage Sources Process Steps Quality Reports / Coverages
- 10. Grow Your People Wiki Wiki January 8-10, 2014 ESIP Winter 2014 10
- 11. Identify Bright Spots 52 Records 2 Groups 14 Bright Spots Global Average 2400+ Records 38 Opportunities for Improvement ID – Identification EX – Extent CN – Connection DI- Distribution January 8-10, 2014 CO – Content DE – Description LI – Lineage AC - Acquisition ESIP Winter 2014 11
- 12. Grow Your People - Community January 8-10, 2014 ESIP Winter 2014 12
- 13. Change Efforts Have Two Targets Know Destination Script Critical Moves Find Bright Spots Grow Your People Find the Feeling Shrink the Change January 8-10, 2014 ESIP Winter 2014 13
- 15. Acknowledgements This work was partially supported by contract number NNG10HP02C from NASA. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author and do not necessarily reflect the views of NASA or The HDF Group. July 24, 2013 BESSIG 15
Notas do Editor
- Direct the riderFind the bright spotsScript the critical movesPoint to the destinationMotivate the elephantFind the feelingShrink the changeGrow your people
- The simplified destination is documentation for discovery, use, and understanding
- The feeling we are aiming for is the satisfaction of creating trustworthy data. Everyone that collects data wants the data and the processing of it to be trusted.
- We are already 1/3 of the way there.
- Identification is the keystone of discovery and it has a lot of elements. We are actually more than 1/3 of the way there.
- A complete picture of where we are headed broken up into do-able steps.
- The rubric web application has information about how to accomplish the spirals and links to a community resource (wiki and other web pages) for more information.
- This Figure summarizes rubric scores for 52 records from the Alaska Satellite Facility (ASF). The x axis shows the spirals used to calculate the score. The y-axis shows the differences between the scores and the global average computed fro over 2400 EOS metadata records. Two groups were identified and they had the same scores for all but one spiral (that is why only the red line shows up. In the description spiral the scores were different. Fourteen of the 52 records had above average scores (bright spots) and 38 had below average scores (opportunities for improvement). The bright lights serve as good examples for the community.
- the same analysis can be done for other groups of records within the EOS community. Each has local and global bright spots and opportunities for improvement.