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IASSIST 2006: Data in a world of Networked Knowledge May 23-26, 2006 - Ann Arbor, Michigan Delivering Government Data to Lawyers and Journalists Susan.

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Presentation on theme: "IASSIST 2006: Data in a world of Networked Knowledge May 23-26, 2006 - Ann Arbor, Michigan Delivering Government Data to Lawyers and Journalists Susan."— Presentation transcript:

1 IASSIST 2006: Data in a world of Networked Knowledge May 23-26, 2006 - Ann Arbor, Michigan Delivering Government Data to Lawyers and Journalists Susan Long Linda Roberge Syracuse University Transactional Records Access Clearinghouse http://trac.syr.edu

2 IASSIST 2006 Agenda  Our Center in Brief  Our Users and their Needs  Problems and Solutions

3 IASSIST 2006 Our Center in Brief  Where does our data come from?  Use FOIA to obtain release of info from federal administrative databases tracking govt’s own activities  Create databases: document, validate and supplement, combine sources, build indices

4 IASSIST 2006 Our Center in Brief  How is data delivered to users?  develop reports and deliver on web  data mining tools and data warehouse for users to access our data  Center is self-supporting  free public web site  subscription service: data mining

5 IASSIST 2006 TRACFED Criminal Civil Administrative People Money Context RAWDATARAWDATA Find Get Clean Validate Enhance Organize Load OUTPUTOUTPUT STORED DYNAMIC Reports Tables Graphs Maps Transactional Records Access Clearinghouse

6 IASSIST 2006 Evolution in TRAC’s Delivery  Pre-web (18 years ago)  Web – stored pages (12 years ago)  Web – dynamic, database driven content delivery (past 10 years)

7 IASSIST 2006 TRAC’s Users  Media  Lawyers  Libraries  Academic  Government  Public Interest Groups  Public at large

8 IASSIST 2006 Challenge: D iverse User Needs  Wide variety in data sophistication  Varying knowledge about government  Breadth vs. Depth  Specificity of information required  Unstructured vs. structured questions  Data mining for non-statisticians

9 IASSIST 2006 Aides to Understanding: The Basics  Carefully designed tables  Strategic use of graphics  Access to underlying data

10 IASSIST 2006 Tables Dynamic  Stored 

11 IASSIST 2006 Graphs  Dynamic  Stored

12 IASSIST 2006 Listings: The underlying data

13 IASSIST 2006 Maps  Dynamic  Stored

14 IASSIST 2006 Problems and Solutions  Online help  Data Search  Report Generation

15 IASSIST 2006 Online Help: Need for movement animated gifs

16 IASSIST 2006 Online Help: Need for movement express_allrank.html tutorial movies (express) http://trac.syr.edu/suelong/iassist/

17 IASSIST 2006 Online Help: Need for movement stf_godeep_current.html tutorial movies (drill down) http://trac.syr.edu/suelong/iassist/

18 IASSIST 2006 Online Help: Experimenting with voice houston_example.html http://trac.syr.edu/suelong/iassist/

19 IASSIST 2006 Data Search Can you search numbers the way you would text ala the “Google” model?

20 IASSIST 2006 Data Search  Do we have any data?  Where can you find it?  How can you get to it?

21 IASSIST 2006

22 Report Generation

23 IASSIST 2006 Concluding Remarks  It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts. (Sir Arthur Conan Doyle, 1859 - 1930)  It is our job to make data usable by those who theorize, especially the journalists, lawyers, and policy makers.


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