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The quality of civic data in India
and the implications on the push
for Open Data
16th
July 2013
The Project
• Three city wide case studies in three sectors
– Health
– Water
– Public Toilets
• Data availability (inadequ...
Sector Outputs Outcome
Water
A info-graphic
showing number of
waster connections by
area and socio-
economic status
Inequi...
Water
• What we need?
– Data on locations of lorry trips
– Data on number of connections in slums and
informal settlements...
For
example:
Public toilets
1.Poor and confounding
data
2.Ward wise surveys and
mapping
3.Understanding metrics
and parameters required...
Public Health
Public Health (contd)
• Expression of Interest (EOI) with the Public
Health Department
• Access to existing data
• Create ...
Some Challenges
• Suspension of Mr. P. Kuganantham (Cholera
deaths) in the past
• Transfer of Mr. Brajendra Navnit
• No ac...
Thank you!
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Project update: The quality of civic data in India and the implications on the push for Open Data

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An update from Transparent Chennai's case study on "The quality of civic data in India and the implications on the push for Open Data" presented at the Open Data in Developing Countries research network regional meeting in New Delhi, India - July 2013.

See more at http://www.opendataresearch.org/project/2013/tc

Published in: Health & Medicine, Technology
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Project update: The quality of civic data in India and the implications on the push for Open Data

  1. 1. The quality of civic data in India and the implications on the push for Open Data 16th July 2013
  2. 2. The Project • Three city wide case studies in three sectors – Health – Water – Public Toilets • Data availability (inadequate) • Quality (poor) • Processes of creation (informal) • Impact of data
  3. 3. Sector Outputs Outcome Water A info-graphic showing number of waster connections by area and socio- economic status Inequity in service provision and the right to water Public toilets A plan to monitor toilets A sustainable monitoring mechanism of the physical infrastructure Health The design of a data portal Possibility and implications of open government
  4. 4. Water • What we need? – Data on locations of lorry trips – Data on number of connections in slums and informal settlements – Data on un-served areas • What is available? – data set on number of lorry trips – history of Chennai Metrowater's expansion
  5. 5. For example:
  6. 6. Public toilets 1.Poor and confounding data 2.Ward wise surveys and mapping 3.Understanding metrics and parameters required for planning 4.Research for monitoring 5.Community meetings
  7. 7. Public Health
  8. 8. Public Health (contd) • Expression of Interest (EOI) with the Public Health Department • Access to existing data • Create data for better planning (mosquito hotspots, incidence of disease, sewage leaks)
  9. 9. Some Challenges • Suspension of Mr. P. Kuganantham (Cholera deaths) in the past • Transfer of Mr. Brajendra Navnit • No access to Chennai Metrowater’s data
  10. 10. Thank you!

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