Slideshow transcript
Slide 1: 7/1/2008 Community Indicitor Consortium - Data360 1
Slide 2: Webster Pacific LLC The Democratization of Data TPI 7/1/2008 Community Indicitor Consortium - Data360 2
Slide 3: Video 7/1/2008 Community Indicitor Consortium - Data360 3
Slide 4: Facts 7/1/2008 Community Indicitor Consortium - Data360 4
Slide 5: Labor 7/1/2008 Community Indicitor Consortium - Data360 5
Slide 6: Data? 7/1/2008 Community Indicitor Consortium - Data360 6
Slide 7: Sites Promoting Data Democratization 7/1/2008 Community Indicitor Consortium - Data360 7
Slide 8: Accountability “It’s no secret that the department has been “The CJP aims to increase the killing crime though reporting chicanery for public's digital access to records nearly as long as the FBI’s Uniform Crime from the various criminal justice Reporting program has been in existence.” agencies in Chicago and Cook Source: www.crimefilenews.com 11/13/2006 County.” Source: www.chicagojustice.org 7/1/2008 Community Indicitor Consortium - Data360 8
Slide 9: Privacy 7/1/2008 Community Indicitor Consortium - Data360 9
Slide 10: Economics - Profit Motive Webster Pacific LLC 7/1/2008 Community Indicitor Consortium - Data360 10
Slide 11: Economics – Data Costs $ National Agricultural Statistics Service (part of USDA) $160 million = total budget $8 million = cost of annual pesticide survey (5% of total) FRESNO, Calif. - The U.S. Department of Agriculture said Wednesday it plans to do away with publishing its national survey tracking pesticide use, despite opposition from prominent scientists, the nation’s largest farming organizations and environmental groups. Associated Press 5/22/08 7/1/2008 Community Indicitor Consortium - Data360 11
Slide 12: Why I Am Here. 7/1/2008 Community Indicitor Consortium - Data360 12
Slide 13: Spell It Out. Data Clarified Evidence-Based Better Democratization Current Condition Decision-Making Results 7/1/2008 Community Indicitor Consortium - Data360 13 Image sources: NY Tours, www.greenoakmedicine.com ,
Slide 14: Resume: Thomas M. Paper Webster Pacific 7/1/2008 Community Indicitor Consortium - Data360 14
Slide 15: 7/1/2008 Community Indicitor Consortium - Data360 15
Slide 16: 7/1/2008 Community Indicitor Consortium - Data360 16
Slide 17: 7/1/2008 Community Indicitor Consortium - Data360 17
Slide 18: Why I Started Data360? 7/1/2008 Community Indicitor Consortium - Data360 18
Slide 19: 7/1/2008 Community Indicitor Consortium - Data360 19
Slide 20: 7/1/2008 Community Indicitor Consortium - Data360 20
Slide 21: 7/1/2008 Community Indicitor Consortium - Data360 21
Slide 22: Conceptual Framework ***************** Free ******************* <<<<<< <<<<<<<<<<<<<< Public Platforms >>>>>>>>>>>>>>>>>>>>>>> Private Platforms <<<<<<<<<<<<<<<<<<<< Platform 1 >>>>>>>>>>>>>>>>>>>>>>>>> Platform 2 Platform 3 Auto Data Manual Data Survey Manual/ADF Feed (ADF) Entry Data Plot1 Data Plot2 Data Plot3 Data Plot4 Data Plot5 Image1 DataGraph1 DataGraph2 DataGraph3 DataGraph4 DataGraph5 GraphGroup1 GraphGroup2 GraphGroup3 GraphGroup4 Report1 Report2 7/1/2008 Community Indicitor Consortium - Data360 22
Slide 23: The Democratization of Data TPI 7/1/2008 Community Indicitor Consortium - Data360 23
Slide 24: The Players Data Keepers (the haystacks) Data Sites Citizens 7/1/2008 Community Indicitor Consortium - Data360 24
Slide 25: Principles of Data Democratization •Integrity •Consistency •Property •Dynamic •Semantic •Exportable •Importable •I _ _ _ _ _ _ _ _ _ 7/1/2008 Community Indicitor Consortium - Data360 25
Slide 26: Integrity 2 1 3 7/1/2008 Community Indicitor Consortium - Data360 26
Slide 27: Consistency 7/1/2008 Community Indicitor Consortium - Data360 27
Slide 28: Dynamic 7/1/2008 Community Indicitor Consortium - Data360 28
Slide 29: Property 7/1/2008 Community Indicitor Consortium - Data360 29
Slide 30: Semantic The Semantic Web: The predicted evolution of the Web, in which information will be stored in readable and comparable formats for easy retrieval and comparison by software applications. Source: T. Paper and various 7/1/2008 Community Indicitor Consortium - Data360 30
Slide 31: Exportable 7/1/2008 Community Indicitor Consortium - Data360 31
Slide 32: Importable 7/1/2008 Community Indicitor Consortium - Data360 32
Slide 33: Unimportable 7/1/2008 Community Indicitor Consortium - Data360 33
Slide 34: Unimportable 7/1/2008 Community Indicitor Consortium - Data360 34
Slide 35: Importable •24x7 on the web •Format •TXT-API-ODBC-XML •Not needle approach 7/1/2008 Community Indicitor Consortium - Data360 35
Slide 36: Sharing & Principles Will Not Do The Job…. 7/1/2008 Community Indicitor Consortium - Data360 36
Slide 37: Interpretation 7/1/2008 Community Indicitor Consortium - Data360 37
Slide 38: The Democratization of Data TPI 7/1/2008 Community Indicitor Consortium - Data360 38
Slide 39: Uninterpretable 7/1/2008 Community Indicitor Consortium - Data360 39
Slide 40: Interpretable Can comment on the data… 7/1/2008 Community Indicitor Consortium - Data360 40
Slide 41: Interpretable Can compare one data set to another… 7/1/2008 Community Indicitor Consortium - Data360 41
Slide 42: Interpretable Can string together numerous graphs on a single page and numerous pages into a report. 7/1/2008 Community Indicitor Consortium - Data360 42
Slide 43: The Promise With Amazon Mechanical Turk, Amazon plans to supply "artificial artificial intelligence" that connect programs needing the human touch with humans, such as the simple task of identifying objects in photographs (which humans can do better than computers). Examples of what humans can do for computers? Evaluate beauty, translate text and find specific objects in photos.* 11/4/05 * http://seattlepi.nwsource.com/business/247152_turk04.html * http://en.wikipedia.org/wiki/Jim_Gray_(computer_scientist) 7/1/2008 Community Indicitor Consortium - Data360 43
Slide 44: Call To Action 7/1/2008 Community Indicitor Consortium - Data360 44



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