Name DataShift - Promoting Citizen-Generated Data
Source CIVICUS
Hyperlink to Source http://civicus.org/thedatashift/
Description DataShift is an initiative that builds the capacity and confidence of civil society organisations to produce and use citizen‑generated data. Citizen-generated data is data that people or their organisations produce to directly monitor, demand or drive change on issues that affect them. It is actively given by citizens, providing direct representations of their perspectives and an alternative to datasets collected by governments or international institutions.
Long description
Lead Institution CIVICUS
Logo of lead Institution Logo institution
Partners The Engine Room, Wingu
Contact name Please login to see contact details
Contact email Please login to see contact details
Info link http://civicus.org/thedatashift/
Implementation link http://civicus.org/thedatashift/learning-zone/
Case study link http://civicus.org/thedatashift/learning-zone/case-studies/
Video embed code or link to video page
Type Network
Potential for reuse Low
Part of the innovation having potential to be reused
Open source No
Open Source URL
Data Input Formats
Data Output Formats
Maintenance Requirements
Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Implemented
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Civil Society Organizations
Private Sector
Sectors where the innovation can be applied
  • Social Development
  • Areas of technological innovation
  • Technical Infrastructure
  • Areas of management practice innovations
    Crowdsourcing
    Use of Alternative Data Sources
    Areas of institutional process innovations
    Open Data
    Digital Activism
    Framework
    Non-Official Statistics
    Case Study URL with Public Sector Participation http://civicus.org/thedatashift/wp-content/uploads/2016/05/case-study-pulse-lab.pdf
    Case Study Description An initiative of Pulse Lab Jakarta in partnership with various Indonesian governmental agencies, Mining Citizen Feedback Data for Enhanced Local Government Decision-Making combines various sources of citizen-generated data - from local and national complaint systems to informal Twitter comments - in order to better inform policy decisions. Piloted in Nusa Tenggara Barat, one of the poorest provinces of Indonesia, the topics of analysis were guided by the national priorities of development, including food sufficiency, energy, education, health and poverty alleviation.
    Picture describing Case Study Logo institution
    Internal Comment
    Good practices displayed Yes
    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
    Framework




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