Panel Discussion: Open Government Data: High Value Datasets moderated by Ms Alka Mishra, Senior Technical Director, National Informatics Centre, Department of Electronics and Information Technology (DeitY), Government of India.
Panel Discussion: Open Government Data: High Value Datasets
1. Objectives of Open Government Data Platform, India
Provisioning of Platform to provide proactive and open access to
the data generated through public funds by departments /
organizations of Government of India
To increase Transparency, Accountability
Citizen Engagement, Collaboration
Better Governance, Decision making
& Innovation
Paradigm Shift in Governance : Direct Delivery of Services to
Citizen Setting up a Platform for Collaboration,
Innovation In delivery of Services to Citizen
3. OGD Platform : India - data.gov.in
Top 20 Contributors of Datasets
TOP 11-20
4. OGD: India - data.gov.in
Top 5 Endorsed Data: Yet to be closed
Database of all
the medicine,
brand and its price
list
156
List of Hospital
with Address,
Infrastructure,
Health
Professionals etc
134
Database of ALL
health care
providers/facilities
in public and
private setting
including AYUSH
and laboratories
129
FIR (First
Information
report) filed per
police station
124
District wise
production of
Agricultural Crops
119
6. TOP 5 Important datasetsHow can we get data from Mission
Mode Projects and National Level E-
Governance Projects?
7. TOP 10 Potential datasets as per your inputs in
today’s Survey
D.1. Live data to spot your train, live Station, Train between Station, Train Cancelled, Rescheduled and
Diverted
B.1. Hospital wise details with Address, Infrastructure, Health Professionals etc.
A.1. Real time Air Quality Data on various parameters being monitored
F.1. Police station details (Location, contact details etc.)
A.2. Real time data on water quality on various parameters being monitored
G.1. List of Schools with complete address, number of students and Teachers in various Classes
S.1. Common Service Centre Details (Location, Service Provided etc.)
I.1. Village/Town wise Data on households facilities like Electricity, Toilet, Drinking water etc.
R.1. Live data of Market prices of consumer goods
S.2. Passports Requests, Issued, Pending Details category wise
8. Sector-wise Potential Datasets
A. Environment
A.1. Real time Air Quality Data on various parameters being monitored
A.2. Real time data on water quality on various parameters being monitored
B. Health
B.1. Hospital wise details with Address, Infrastructure, Health Professionals etc.
B.2. District level data of Occurrence and Frequency of Various diseases (HIV/Cancer/Malaria/Dengue etc.)
B.3. District level Immunization Status against various diseases (like Diphtheria, Pertussis, Tetanus, Polio, Measles,
Hepatitis B & Tuberculosis etc.)
C. Power
C.1. Real time Power Generation and Utilization data
C.2. Daily data on Electric power consumption
C.3. Daily electricity demand and supply Data
D. Railways
D.1. Live data to spot your train, live Station, Train between Station, Train Cancelled, Rescheduled and Diverted
D.2. Live data on Freight Operation
D.3. Train Fare Tables
D.4. Train Timetables
9. Sector-wise Potential Datasets
E. Road Transport
E.1. Time Table data of Public Road Transport
E.2. District wise Registered Motor Vehicles
E.3. District wise data of Road Accidents of Motor Vehicles
F. Crime
F.1. Police station details (Location, contact details etc.)
F.2. Details of Missing/Kidnapped persons
F.3. Police Station wise Crime Reported
G. Education
G.1. List of Schools with complete address, number of students and Teachers in various Classes
G.2. List of College/University with complete address, number of students and Teachers
H. Industry
H.1. Company Details Data
H.2. Monthly Foreign Direct Investment (FDI) and Industrial Investment Intentions and Proposals
H.3. List of registered Hotels, Restaurants with address and contact details
10. Sector-wise Potential Datasets
I. Demography/Census
I.1. Village/Town wise Data on households facilities like Electricity, Toilet, Drinking water etc.
I.2. Civil Registration Data like Birth, Death (registered)
I.3. Sample Registration Data (Survey Based) like Fertility, Mortality, etc.
I.4. Annual Health Survey data like, Illness, Family Planning, Natal Care etc.
J. Rural Development
J.1. Village wise Worker Participation, Expenditure Details and Work Details under MGNREGA
K. Labour and Employment
K.1. State, District and City wise Unemployment data
K.2. National Skills Dataset with skills and job requirements across India – State, District and City wise
L. Finance
L.1. Monthly transactional data of Government spending
M. Natural Resource
M.1. Production of natural resources coal, iron etc.
M.2. Production of oilseeds
M.3. Production of petroleum products
M.4. Production of natural gas
M.5. Coal Stock Position at Thermal Power Plants
11. Sector-wise Potential Datasets
N. Election
N.1. Various elections in India with Constituencies, Candidates etc.
N.2. Demographic Statistics of Electorate (Age, Gender etc.)
O. Export and Import
O.1. Export data of all commodities (HS Code wise)
O.2. Import data of all commodities (HS Code wise)
P. Agriculture
P.1. Production of various crops
P.2. Total Area available, area available for cultivation, barren land etc.
P.3. Area under Irrigation from various sources i.e. Canal, Tanks, Wells, Other Sources
P.4. Real time Market price data of Fertilizer Products
Q. Post
Q.1. Latitude /Longitude wise Pin codes
R. Trade
R.1. Live data of Market prices of consumer goods
R.2. Dealers/Distributors details on Petrol, Diesel, PDS Kerosene & CNG/LPG
S. Mission mode Project
S.1. Common Service Centre Details (Location, Service Provided etc.)
S.2. Passports Requests, Issued, Pending Details category wise
S.3. e-Courts – Listing of Total, pending, scheduled cases court wise