Oh Myyy! Dr. Robert S. Chen Director and Senior Research Scientist CIESIN, The Earth Institute

 Federal  State  Local  Regional  Tribal  Other national, provincial, local governments  UN agencies  Other intergovernmental entities  The U.S. Federal Geographic Data Committee (FGDC) has ~32 agency members ◦ Agriculture, Commerce ◦ DOD, US Army Corps ◦ Education, Energy ◦ Health & Human Services ◦ Homeland Security ◦ Housing & Urban Development ◦ Interior, Justice, Labor ◦ OMB, State, Transportation ◦ Treasury, VA, EPA, FCC (non-voting) ◦ GSA, Library of Congress ◦ NASA*, NARA, NCPC*, NSF* ◦ NRC, OPM*, SBA, Smithsonian* ◦ Social Security, TVA, USAID * Currently no representative listed!

 NGA?  NRO?  CIA?

 Old stuff & New Stuff  Little stuff & BIG STUFF  Simple stuff & cOmpLeX StUff  Static stuff & Dynamic Stuff  Current stuff & Uncertain Future Prediction and Scenario Stuff  Public stuff & Private stuff  Local stuff & CLOUD STUFF  My stuff & Everyone Else’s Stuff!

Aggregate data for administrative districts with tabulated population data and environmental characteristics County ID Mean Ann. Temp. Max. Ann. Precip. Rent, Rural Rent, Urban Own, Rural Own, Urban Vacant, Rural Vacant, Urban G G G G G G G

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 Example: Although the U.S. Federal government recognizes the “public domain” status of much Federal data, that status isn’t necessarily recognized in other jurisdictions or known to users  Mixing of public and private sources of data and support becoming more common, leading to uncertainties about IP rights  Difficult policy (and technical) issues related to privacy, confidentiality, security, indigenous rights, cultural heritage, ecological protection, long-term rights, etc.

/files/omb/memoranda/2013/m pdf open-data-charter/g8-open-data-charter-and- technical-annex _full_and_open_principle_interpretation_living_paper.pdf

 Being unknown doesn’t cut it when competing for funding, promotion, long-term support, etc.

 User statistics  American Consumer Satisfaction Index (ACSI)

Cited but not used Used as background or context -- Used in figure only Used in study design -- Hypothesis/theory development -- Sample selection -- Other Used in trend or spatial analysis Used in statistical model -- Statistically significant? -- Total number of variables Used in simulation model -- Key component or variable -- Minor variable or parameter -- Baseline or boundary condition Used for validation purposes Used in research translation -- Making results relevant to policy -- Enabling use in applications -- Cited in conclusion/discussion Fall AGU paper analyzed 49 papers from 2012 citing both SEDAC and remote sensing data More than half of the papers (26) reported simultaneous use of SEDAC and RS data in a trend/spatial analysis or a statistical or simulation model Four papers used SEDAC data mainly for research translation (RT)

 The NCADAC recommends that the U.S. Global Change Research Program develop and implement a system of indicators to provide decision-relevant information on physical, natural, and social climate changes, impacts, vulnerabilities, and preparedness and to contribute to a sustained assessment process. NCADAC adopts the proposal developed by the Indicator Work Group, which includes recommendations for the implementation of a pilot set of indicators as the first step towards a sustained indicator system. Figure 1. Conceptual Model for the National Climate Indicator System.

Thanks for your attention!