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Social, Political & Financial Issues Connecting Geodata in and between Government Agencies Remarks at GeoData panel, 2014-06-17. Jeff de La Beaujardière, PhD NOAA Data Management Architect Chair, Environmental Data Management Committee jeff.deLaBeaujardiere@noaa.gov +1 301-713-7175.
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Social, Political & Financial Issues Connecting Geodata in and between Government AgenciesRemarks at GeoData panel, 2014-06-17 Jeff de La Beaujardière, PhD NOAA Data Management Architect Chair, Environmental Data Management Committee jeff.deLaBeaujardiere@noaa.gov +1 301-713-7175
Social Issues • "Not-invented-here" mentality when starting new projects • Poorly established methods of getting credit for datasets vs published papers • Fear of having others get interesting research from your data before you do • Fear of having research proven wrong • Laziness? • Standards are complicated, too general, or too specific to a different purpose • Good DM practices often not part of employee job descriptions or recognition methods jeff.deLaBeaujardiere@noaa.gov
Political Issues • Government propensity for large commercial contracts to solve IT problems • Too much focus on the initial customer • Failure to plan & budget in advance for data management • Lack of consequences for poor planning • Tendency to form groups or start projects to address entire data management life-cycle, rather than focusing on improvements to cross-cutting domains (e.g., discovery, metadata, access, preservation, etc.) and defining interfaces between them. jeff.deLaBeaujardiere@noaa.gov
Financial Issues • Tendency to spend all the money on the observing hardware and too little on data management, analysis, & reusability • Lack of resources to improve or retrofit existing systems • Not taking an agency-wide view of all data production and management jeff.deLaBeaujardiere@noaa.gov
Recommendations • US: • Continue inter-agency coordination groups • and clarify their overlapping scopes • Agency: • Make Programs & Program Managers responsible for proper management of data they produce • Require that DM plans be written and followed • Give credit to employees for good DM practices • Both via employee reviews and data citation metrics • Technical: • Automate data managementat the worker level • Give interoperable software stacks IT security pre-approval • Make use of Cloud Computing where relevant jeff.deLaBeaujardiere@noaa.gov
Conceptual Model of NOAA Big Data Partnership maximum diversity customers Customer 1 Customer 2 Customer 3 $ application & product providers Custom Product/ App #1 Custom Product/ App #2 Custom Product/ App #3 jeff.deLaBeaujardiere@noaa.gov $ maximum standardization commercial cloud provider integration functions analysis functions $ working copy of data network service provider agency security boundary Agency Service Tier agency-provided services Catalog Access Services Metadata Formatting master copy of data Earth Observations Earth Observations Model Outputs
backup slides jeff.deLaBeaujardiere@noaa.gov