The paper was presented at International Conference on Computing and Communication Technologies( ICCCT 2014) during Dec 11-13, 2014 at Hyderabad, India

1. R&D PLAN-INFORMATICS IN THE ERA OF
BIG DATA
Paper By
K.Shreedhar, Council of Scientific & Industrial Research, New
Delhi
Dr. Devi Prasad Bhukya, Instituto de Telecomunicações,
Universidade de Aveiro, Aveiro, Portugal
Shubham Hariom, ICFAI Business School (IBS), Hyderabad

2. About this paper
• The paper is an attempt to develop a Big data
based Planning concept “Plan-Informatics”
• Plan-Informatics is a generic architecture that
can be used for better utilization of big data
and near to real time data for effective
decision making
• The paper uses Plan-Informatics concept for
R&D planning and illustrates the benefits that
can be accrued by using advanced ICT
technology for R&D Planning

3. Outline
• Introduction to Big Data
• Plan-Informatics
• R&D in India
• R&D Plan-Informatics – a new Paradigm
• Advantages of R&D Plan-Informatics

4. Big Data
• ‘Big Data’ is defined as “Datasets whose
size is beyond the ability of typical
database software tools to capture, store,
manage, and analyse - McKinsey Global
Institute report, 2011
• Managing volume, variety and velocity of
data is the challenge of Big Data

5. Advantage of Big Data
• The big data would drive data-based decision
making system which will be based on near
to real time data.
• The analytics developed will be capable of
crunching huge volume of data in very short
time and create meaningful information.
• The generated big data has the potential to
reveal new efficiencies and actionable
information for better planning, forecasting
and decision making.

6. Big Data in Planning
• Advancement in ICT and its allied services
have been transforming the world
• Digitisations in public sector and data from
social networking sites are generating trillion
bytes of digital data which can form as input
for planning.
• Big data has the transformational power for
both private as well as public governance by
providing analytical capabilities for better
strategic planning, implementation and
economic returns

7. Plan-Informatics
• Plan-Informatics is a ‘Big data’ approach for
planning
• Any planning process, collection of data and
its analysis plays a decisive role
• The traditional approach of data-mining with
database cannot address the enormity of data
provided by big data.
• This requires ability to extract knowledge from
complex unstructured, semi-structured, and
structured sets of data with a purpose to
identify, analyse and solve a challenge in time
bound framework.

8. Assumptions for Plan-Informatics
• The Government of India has initiated the
National e-Governance Plan (NeGP) to
provide government private cloud
environment available for use by central,
state governments, line departments, and
other bodies
• it is assumed that the initiative by NeGP has
been adopted.
• The data generated by the NeGP, other than
the strategic data, is assumed to be available
centrally for planning.

9. Plan-Informatics architecture

10. • Baseline data can be generated for the
programmes, schemes and projects that
are implemented.
• Plan-Informatics has the capability to
provide outcome based governance model
• The details captured relating to input
provided, outputs produced and finally link
it to the outcomes generated for better
implementation.
Plan-Informatics: New paradigm for
planning

11. R&D in India
• Indian R&D has been evolving over the last
few decades with investment into the sector
increasing every Plan period ( 5 years)
• India’s Gross Expenditure on R&D (GERD)
for 2012 is USD 40.3 billion which is 0.85% of
GDP with a global share of 2.8% - Battelle
R&D report 2013
• Government is the major source of R&D
funding in India accounting for nearly 75% of
total expenditure

12. R&D planning in Indian Government
• Planning for Science, Technology and Innovation sector is
carried out by constituting various Committees like:
– Steering Committee
– Working Groups
– various other committees,
– sub-Committees,
– sub-groups,
– task forces etc. on various S&T sub-sectors identified for formulation
and implementation of polices during the Five Year Plan period.
• The committees consisting of eminent scientists and
leaders from various organizations in the R&D ecosystem
deliberate and recommend on the mechanism for
implementation of ST&I schemes, programmes and other
issues such as project implementation financing the
projects, HR requirement etc.

13. • Detailed reports by various Committees forms the
basis for the preparation of the Science, Technology &
Innovation sectoral inputs for Plan documents.
• Developed under various plans/policies that provide
broad framework for development of various schemes
and programme to be implemented by various public
sector R&D institutions.
• The Planning is based on recommendations provided
which are expert judgements based on their past
experiences which are backed by data that are not
very recent.
R&D planning by Indian Government

14. R&D Plan-Informatics –
a new Paradigm
• The R&D Plan-Informatics can source data
from NeGP and the data can be mined and
analysed using various analytical tools for
desired output.
• The R&D Plan-Informatics approach will
become a data driven scientific approach
wherein inputs from players of ecosystem
can be used
• The outputs can be visualised based on
which important decisions can be made.

15. R&D Plan-Informatics Architecture

16. R&D Plan-Informatics: an outcome
based Planning
• The Plan-Informatics will be helpful to the apex
planning body of any organization in general and also
national level policy makers in particular to evaluate,
assess and monitor the performance of the schemes/
projects.
• Some of the traditional as well as dynamic benefits
accruing from the R&D Plan-Informatics are :
– Financial Planning
– S&T indicators
– Types of R&D undertaken
– Transparency
– Trend analysis and other forecasting etc. can be
automatically performed with ease
– Near to real time data on progress of various projects

17. Advantages of R&D Plan-Informatics
• Plan-Informatics helps agencies increase their productivity &
effectiveness by constantly monitoring the implementation of
the programme.
• Various analytic tools can be utilized to identify suitable
research methods, trend analysis, various techniques can be
used for studying the efficiency, benchmarking, develop various
scenarios as a part of decision making system etc. can be
performed.
• Plan-Informatics helps in rationalising the need for spending the
money on various schemes.
• Performance based budgeting for example can be adopted.
• The output of the projects/schemes can also be easily
connected with the stakeholders on the work carried out.

18. Thank You