Building Capacity for Data Driven Governance - Creating a New Foundation for Democracy

Simple item page
dc.contributor.authorKeller, Sallie A.en
dc.contributor.authorLancaster, V. A.en
dc.contributor.authorShipp, S. S.en
dc.date.accessioned2017-05-23T01:54:45Zen
dc.date.available2017-05-23T01:54:45Zen
dc.date.issued2017-03en
dc.description.abstractExisting data flows at the local level, public and administrative records, geospatial data, social media, surveys, as well as other federal, state, and local databases, are ubiquitous in our everyday life. These data, when integrated, can tell the story of a community. The Community Learning Data Driven Discovery (CLD3) process liberates, integrates and makes these data available to government leaders and researchers to tell their community’s story and to use these stories to build an equitable and sustainable social transformation within and across communities to address their most pressing needs. The CLD3 process starts with asking local leaders what their questions are but cannot currently answer; identifying data sources that can provide insights; wrangling the data (profiling, cleaning, transforming, linking); using statistical and geospatial learning along with the communities’ collective knowledge to inform policy decisions; and developing, deploying, and evaluating intervention strategies based on scientifically based principles. CLD3 is a continuous, sustainable and controlled feedback loop. CLD3 is described conceptually and through examples as a process that builds capacity for data driven governance at the local level.en
dc.description.versionSubmitted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/77698en
dc.language.isoenen
dc.publisherFrancis & Tayloren
dc.relation.urihttp://amstat.tandfonline.com/action/journalInformation?journalCode=uspp20en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectStatistical Learningen
dc.subjectGeospatial Learningen
dc.subjectAdministrative Dataen
dc.subjectEvaluationen
dc.subjectVulnerable Populationsen
dc.titleBuilding Capacity for Data Driven Governance - Creating a New Foundation for Democracyen
dc.title.serialStatistics and Public Policy Journalen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Biocomplexity Instituteen
pubs.organisational-group/Virginia Tech/University Research Institutes/Biocomplexity Institute/Researchersen
pubs.organisational-group/Virginia Tech/University Research Institutes/Biocomplexity Institute/SelectedFaculty1en
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Fralin Affiliated Facultyen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Keller-Lancaster-Shipp Community Learning Data Driven Discovery March 2017.pdf
Size:
1.79 MB
Format:
Adobe Portable Document Format
Description:
Submitted Version
Download
License bundle
Now showing 1 - 1 of 1
Name:
VTUL_Distribution_License_2016_05_09.pdf
Size:
18.09 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

All Faculty Deposits
Destination Area: Data and Decisions (D&D)
Scholarly Works, Fralin Life Sciences Institute