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Data Sharing what works… what doesn’t Data Sharing what works… what doesn’t Lynda Wayne, GeoMaxim/FGDC Dr. Tim De Troye, SC GIS Coordinator.

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Presentation on theme: "Data Sharing what works… what doesn’t Data Sharing what works… what doesn’t Lynda Wayne, GeoMaxim/FGDC Dr. Tim De Troye, SC GIS Coordinator."— Presentation transcript:

1 Data Sharing what works… what doesn’t Data Sharing what works… what doesn’t Lynda Wayne, GeoMaxim/FGDC Dr. Tim De Troye, SC GIS Coordinator

2 Data Sharing: what works… what doesn’t Background South Carolina Geospatial Administrators Association (SC GAA) Data Policy survey shows lack of data policies in local government 2009 SC GAA develops guidelines for the development of policies SC GAA and GeoMaxim/FGDC survey national community as to successes and failures with regard to data policies lessons learned compiled and guidelines drafted A Process Framework for Developing Local Government Data Access Policies

3 Data Sharing: what works… what doesn’t For the record… Data sharing is valuable because the more data is used the: better it gets via broader QA/QC greater attention to you organization more opportunities to leverage data fewer competing data sets created more complementary data sets created

4 Data Sharing: what works… what doesn’t Data Sharing Supports Emergency Response If all sectors, public and private, can’t access critical information, lives can be lost Economic Development If they can’t find about you – they can’t come spend/invest their money Planning Bad decision-making by others can have far-reaching effects on your community Navigation Systems / Online Mapping If the route is wrong – you get the blame

5 Data Sharing: what works… what doesn’t Differing Perspectives Data Sharing Issues Complicated Data Sharing Agreements Poor Data Documentation Limited Capacity and/or Infrastructure Personal Privacy and Public Safety Data Control Data Misuse and Exploitation

6 Data Sharing: what works… what doesn’t Data Sharing Agreements © The Simpsons What Works: Handshakes and trust Collaboratively developed, effective, standardized data sharing agreements What doesn’t: Formal agreements that include imprecise language, serve as road blocks to innovative partnerships and add overhead Over-involvement on the part of Administration and Legal staff that attempt to cover all the bases AR GeoStor U of Wisconsin

7 Data Sharing: what works… what doesn’t Poor Data Documentation What Works: Providing metadata creation and support in return for data access Support for community- wide metadata training and resources What doesn’t: Trying to create metadata for another's’ data by guessing at how the data were created

8 Data Sharing: what works… what doesn’t Balancing Right to Know and Confidentiality What Works: Data standards that address privacy and security issues Edited/generalized versions that exclude sensitive content Public Record Laws & Data Sharing Policies that address geospatial & establish guidelines as to who can access the data and how Recognizing that very little data is truly ‘sensitive’ FGDC Data Access Guidelines

9 Data Sharing: what works… what doesn’t FGDC Publication: Access to Geospatial Data in Response to Security Concerns

10 Data Sharing: what works… what doesn’t South Carolina Example Home rule state – counties retain power Home rule state – counties retain power FOIA – interpretation varies between state and local government FOIA – interpretation varies between state and local government Many counties copyright/license data to users Many counties copyright/license data to users Prior gov to gov sharing of roads and imagery Prior gov to gov sharing of roads and imagery Views of gov to gov sharing varies by county Views of gov to gov sharing varies by county

11 Data Sharing: what works… what doesn’t South Carolina – Building Relations CAP grant outreach to local government CAP grant outreach to local government Build relationships first, ask for data second Build relationships first, ask for data second Campaign on state uses of local data, stress benefits to local community members Campaign on state uses of local data, stress benefits to local community members Educate on importance of no data agreements Educate on importance of no data agreements Explain benefits of streamlined access to state through data “collector” – minimize individual requests to counties Explain benefits of streamlined access to state through data “collector” – minimize individual requests to counties

12 Data Sharing: what works… what doesn’t

13 South Carolina – Expanding Sharing Built on precedence of sharing centerlines Built on precedence of sharing centerlines Created inventory of address points/parcels – many counties have points, most have parcels Created inventory of address points/parcels – many counties have points, most have parcels Timeline: Timeline: – After 1.5 years - asked for address points – Six months later - asked for parcels (any form) – Six months later – asked for parcels/CAMA

14 Data Sharing: what works… what doesn’t South Carolina Parcels

15 Data Sharing: what works… what doesn’t South Carolina Address Points

16 Data Sharing: what works… what doesn’t South Carolina – Giving Back Provide feedback on uses, caveats/stories Provide feedback on uses, caveats/stories Provide state-maintained data improved by local data sharing Provide state-maintained data improved by local data sharing Provide ungeocoded addresses for QA/QC Provide ungeocoded addresses for QA/QC Ask for local government involvement on projects that don’t involve money – continued demonstration of their value/expertise Ask for local government involvement on projects that don’t involve money – continued demonstration of their value/expertise Giving back encourages continued participation Giving back encourages continued participation

17 Data Sharing: what works… what doesn’t

18 South Carolina – Avoiding Barriers Never pay for data, if not a joint project (imagery/LiDAR acquisition, etc.) Never pay for data, if not a joint project (imagery/LiDAR acquisition, etc.) Educate on importance of avoiding agreements Educate on importance of avoiding agreements NEVER ask local government to modify data NEVER ask local government to modify data – ESRI Data Interoperability Extension – Model Builder can do the work for you

19 Data Sharing: what works… what doesn’t South Carolina - Challenges Must abide by local permissions granted – no sharing with Feds at this point due to fear of data getting pushed to public domain Must abide by local permissions granted – no sharing with Feds at this point due to fear of data getting pushed to public domain Long timeline to effect a philosophy shift Long timeline to effect a philosophy shift Cannot force anyone to participate (a few hold outs) – incomplete data coverage for state Cannot force anyone to participate (a few hold outs) – incomplete data coverage for state Maintaining relationships is labor intensive, but pays off Maintaining relationships is labor intensive, but pays off

20 Data Sharing: what works… what doesn’t Balancing Right to Know and Confidentiality What Doesn’t: Wholesale approaches that eliminate sharing of all ‘potentially’ sensitive data Over-involvement on the part of Administration and Legal personnel that attempt to cover all the bases

21 Data Sharing: what works… what doesn’t Maintaining Data Control What Works: Earnest dialog about concerns and solutions Data stewards / trusted sources Data lineage guidelines Data management models that allow the use of data that is maintained in your system What doesn’t: Treating public data as a private resource NC Orthoimagery LA Lineage Guide

22 Data Sharing: what works… what doesn’t Data Misuse and Exploitation What Works: Metadata, metadata, metadata with valid ‘Use Constraints’, ‘Distribution Liability’ and ‘Purpose’ statements Clearly stated license/copyright requirements and mandatory acknowledgement by the consumer Making data freely accessible so consumers use current version What doesn’t: Confusing misuse with innovation

23 Data Sharing: what works… what doesn’t Limited Data Sharing Capacity & Infrastructure What Works: $ - especially if designated to build and maintain data sharing capacity (new data collection, hardware, software, training, etc) A simplified process that adds no burden to the data provider Documenting return on investment to warrant capacity building What doesn’t: One time payments for data that are not tied to capacity building

24 Data Sharing: what works… what doesn’t Differing Perspectives What Works: Approaching data providers with a proposal Data consumers that inquire as to the data providers needs and bring something to the table: $, services, data… Approaching data sharing as a cooperative partnership What doesn’t: Demands for data


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