The document outlines the National Data Sharing and Accessibility Policy (NDSAP) initiated by the National Informatics Centre to promote the proactive release of open government data for enhancing transparency, accountability, and citizen engagement. It details the establishment of an Open Government Data (OGD) platform in India, with features such as data visualization tools that enable users to interpret and analyze complex datasets effectively. The initiative aims to transform governance through data-driven decision-making and has garnered various accolades for its impact.

1. National Informatics Centre, Meity
June, 2017
OGD Platform Visualisation Engine
and its use
Leveraging the OGD Platform
and Visualization Engine

2. Open data is data that can be
freely used, reused and redistributed
by anyone
Open Data
National Informatics Centre, MeitY

3. Need of Open Data
Citizen’s demand for Transparency and Accountability
Need for informed policy making/planning
Enhancing the relationship between Government & Citizen
Citizen engagement in policy making
Integrating stakeholders for governance process
National Informatics Centre, MeitY

4. Evidence-based Planning of socio-economic development processes rely on
quality data
Government Collects, Compiles & Possess huge data (Crime Statistics, Prison Statistics,
Census, Health Survey, Health Statistics, weather, Environment, market prices, Eco Indicators, price index,
Demographic, Crime, survey, geo spatial data,.).
Often Little Used
Analyzed usually from one perspective
Possess huge untapped potential
Collected using tax payers money
Why Open Government Data?
National Informatics Centre, MeitY

5. Open Government Data : Potential Impact
Transparency
Accountability
Citizen Engagement
Collaboration
Better Governance
Better Decision making
Innovation
National Informatics Centre, MeitY

6. NDSAP was Gazette notified on 17th March 2012
Objective of the Policy
• Facilitate proactive Release of Data by the
Government Departments/organizations
• For all the data and information created,
generated, collected and archived using public
funds provided by Government of India
National Data Sharing & Accessibility Policy (NDSAP)
National Informatics Centre, MeitY

7. Department of Science & Technology (DST) :
• Serve the nodal functions of coordination and monitoring of the policy
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• Implementing Agency
• Formulate Implementation guidelines, technology & standards for data & metadata
• Design, Develop & Manage Open Government Data Platform (data.gov.in)
• Facilitate Identification & Publishing of datasets in Consultation with Departments
Ministry/ Departments/States…..
NDSAP: Key Stakeholders
National Informatics Centre, MeitY

8. Ministry/
Departments
/States to
• Nominate Chief
Data Officer- a
Senior
Government
officers
• To drive open data
in respective
Deptts/ Orgns
NDSAP Cell
• Members -
Domain, Data
Analyst,
Technology
Personnel
• Assist in compile,
collation,
conversion &
publishing datasets
on OGD Platform
in open format
Data Formats,
Metadata
Schema,
Guidelines…
• Data Quality,
Accessibility,
Standardization
Workshops,
Seminars,
Stakeholder
Engagement
• By NDSAP PMU
through NIC
• Sensitization,
Capacity building
• Citizen Engagement
• Challenges,
Contests &
Events
Implementation Approach

9. 110Chief Data
Officer have been
nominated
1,00,000+
Datasets
under 4157 catalogs
by 105 departments
1000+
Visualizations have
been created
Datasets
11.4 Million times
viewed &
4.7Million times
downloaded
446
APIs
Statistics as on date

10. Government Open Data License – India
Government Open Data License – India has been developed
to give legal frame work to the data consumers
National Informatics Centre, MeitY

11. Open Government Data (OGD) Platform India
Provisioning of a Platform to publish
datasets proactively and provide open
access to data generated using public funds
by departments/organizations of
Government of India
To increase Transparency, Accountability,
Citizen Engagement, Collaboration,
Innovation and Better Governance through
Data Driven Decision making
Paradigm Shift in Governance - Direct
Delivery of Services to Citizen by Setting up
this Platform for Collaboration Innovation
National Informatics Centre, MeitY

12. Resources
(Datasets/Apps)
Cataloging as
Service
Platform Software
as a Service (SaaS)
Visualization
Engine as
Service
Datasets APIs as a
Service
Embed Catalogs
Service
Widget to
Consume/Link
filtered set of
catalogs
Event Portal for
OGD Events
OGD Community
Portal for Blogs,
Visualization,
Infographics
Suggest / Endorse
Datasets
Showcase Apps
Controlled
Vocabulary
Services
OGD Platform Features
National Informatics Centre, MeitY

13. Why Visualizations
Raw data alone can not provide the decision makers
valuable insights
Real-world data are affected the presence of data noise
Data must be processed to provide any meaningful value
Visualizations make sense out of data
Choice of Visualization Type
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14. Benefit of Visualizations
Data visualization helps the audience quickly absorb and interpret the
presented data
Data visualization helps to take highly informed decisions quickly
Data visualizations is a process to interact directly with data
Improve efficiency of the communicated information
Simple way to trace data correlations & Identify trends
Geo Spatial Visualizations
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15. National Informatics Centre, Meity

16. National Informatics Centre, Meity
Process Flow of Visualization Engine
pr
Files Uploaded
In Any Format
(csv, xls)
Create
Instance Data is converted
to CSV
I
n
s
t
a
n
c
e
Instance ID is
generated by
saving the
Instance in DB
The Instance can be
retrieved and proceed for
Next Step Of
Visualization

17. National Informatics Centre, Meity
Library
• D3
• NVD3
• C3.js
• Jvectormap
• leaflet.js
• openstreetmap
Retrieved
Instances
from DB,
comes as a
Json File Chart/Map
User Filter/modify
the data for the
view table according
to the requirement
Json
Process Flow of Visualization Engine

18. National Informatics Centre, Meity
Used Data
after Filter/
Modification
If the user is already registered then the filtered/modified data
would be saved in Database and the same visualization would
be reflected on view for the next time
Process Flow of Visualization Engine

19. National Informatics Centre, Meity
Data in form
of csv or Json
Visualization
Engine
0
2
4
6
Cate…
Cate…
Cate…
Cate…
My Data Tool
 Copy and paste csv data or csv/json url
directly to make chart/Map
 Create, Share (only for visualizations
created out of OGD data), Save, download
chart/Map
 Only registered user can save charts
through visualization engine, when user
will put his own data and proceed for save
the chart, an instance ID with the user (ID)
would be generated and would be saved
on the visualization database
 As per the setting by the user, the default
charts would be saved or displayed
accordingly

20. National Informatics Centre, Meity

21. National Informatics Centre, Meity
Features of Visualization Engine
Chart Type
D3
NVD3
C3.js
Bar
Stacked
Pie
Line
Area
Bubble
Line with view finder
Horizontal MultiBar
Multi Chart
Radar
Doughnut
Step
Library Used Map Type
jvectormap
library
India Map
leaflet.js and
openstreetmap
State Map
LatLong Map
Library Used

22. National Informatics Centre, Meity
D3js(Free+Open Source)
License
Released under BSD license.
Free to use as per as open
source terms and conditions..
Features
• D3.js is a JavaScript library for
manipulating documents based on
data. D3 helps you bring data to life
using HTML, SVG and CSS. D3’s
emphasis on web standards gives you
the full capabilities of modern
browsers without tying yourself to a
proprietary framework, combining
powerful visualization components
and a data-driven approach to DOM
manipulation.
• D3 allows to bind arbitrary data to a
Document Object Model (DOM), and
then apply data-driven
transformations to the document. For
example, you can use D3 to generate
an HTML table from an array of
numbers. Or, use the same data to
create an interactive SVG bar chart
with smooth transitions and
interaction.

23. National Informatics Centre, Meity
Charts :
 Choose any type of chart with any valid
series/variable
 Option to change the chart color
 Customize title, labels and notes
 Save, publish, delete, clone options
 Complete view of the dataset
 Option of Group function, Filtering,
select needed fields to an instance to
make chart
 Transpose option
 Show total number of charts in list with
complete view
 Share (only for visualizations created out
of OGD data) and download option
Functionality of Visualization Engine
Maps:
 Choose options from series to make
map
 Customized color for label, stroke,
scale
 Show bubbles on states according to
the data
 Save, publish
 Zoom in/out option
 Play/Pause/Stop option with time
series
 Share (only for visualizations created
out of OGD data) and download
option

24. Access the Create Visualization link from the home page of data.gov.in
Create Visualization
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25. Visualization Engine : Way Forward
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26. OGD Accolades
OGD Platform India has won Gems of Digital India Award, 2017
India had been ranked among Top 35 on the Global Open Data
Index 2016
OGD Platform India has won the CSI-Nihilent e-Governance
Awards for excellence for the year 2013-14
OGD Platform India has won e-India 2013 Award for
e-Governance Initiative
National Informatics Centre, MeitY

27. OGD Awards
National Informatics Centre, MeitY

28. Follow OGD Platform
@DataPortalIndia
www.facebook.com/DataPortalofIndia
ndsap@gov.in
National Informatics Centre, MeitY

29. Contact Details:
Akhilesh Kumar Srivastava
Sr. Technical Project Manager
Mob: +91-9818079449
Email: akhilesh.wsd@nic.in
Shubhadip Biswas
Sr. Analyst
Mob: +91-9910453540
Email: shubhadip.wsd@nic.in