Difference between revisions of "External Relations"
From Earth Science Information Partners (ESIP)
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*How should data managers think? how does this relate to collaboration? need to look at the reward mechanisms for creating data sets | *How should data managers think? how does this relate to collaboration? need to look at the reward mechanisms for creating data sets | ||
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− | *Should ESIP provide continuing education/professional development to data managers? | + | *Should ESIP provide continuing education/professional development to data managers? (e.g. like UCGIS' for the GIS community [http://www.ucgis.org/priorities/education/modelcurriculaproject.asp] |
==='''Recommendations:'''=== | ==='''Recommendations:'''=== |
Revision as of 15:04, October 15, 2008
Subgroup Members:
- Chris Lenhardt
- Stefan Falke
Issues to Be Addressed:
- Interfacing with other organizations – national & international (AGU, EGY, GEO, CEOS, ISRSE, others?) – how do we support our efforts in this? ESIP ambassadors; distinctions between wearing multiple hats; collaborations
- Map relationships across organizations; what’s the landscape (concept map development tool)
- Training for and Engagement of Next Generation of Data Managers – academic discipline; stewardship
Discussion:
- Should we interface? Yes! The listed group represents a good start. But, these should not be the universe - where are the smaller, lesser known organizations (e.g. less formally structured groups like the EPA Data Summit; domain experts)
- How to handle overlap among different groups? Connections are important to make & are being loosely made. CEOS wanted to make connections to Sensor Web and GEO. CEOS formed an Atmospheric Science Interest Group to make connections among/between groups.
- GEOSS Air Quality Community of Practice - is the ESIP Federation limited as a domestic organization? or can we/should we play internationally?
- ESSI focus groups at AGU, EGU
- ESIP is uniquely positioned at intersection of science and technology
- Should Data Management be its own academic discipline?
- Integration of data management principles across academic disciplines is probably the way to go (e.g. like GIS)
- How should data managers think? how does this relate to collaboration? need to look at the reward mechanisms for creating data sets
- Should ESIP provide continuing education/professional development to data managers? (e.g. like UCGIS' for the GIS community [1]