INNOVATIONS, PATENTS AND BIG DATA ANALYTICS

Over the years innovation has become heart of the Indian Governments Economics Policy. This focus of India towards innovations is paying off. Countries rising performance in Global Innovation Index (GII) 2019 is a showcase for how policy efforts can boost innovation capacity and outputs. Last year India ranked 57 whereas in 2019 India’s GII is 52.India jumped 5 places ahead.

Innovations and India:

To convert new ideas into the best business application in the FY 2018-19 India has given grants to 15,086 patents filled by companies like Qualcomm, BASF,TATA Group, Mitsubishi, J and J, Nokia, Ericson, CSIR, GE, LG, Siemens, Honda, Bayer and many more.

In the Union Budget 2019, the Indian government has announced a provision for increasing the funds allocated for scientific research. With the government’s support, the R&D sector of our country is all set to witness robust growth in the coming years.

Let’s discuss few research bodies of India.

ISRO:

Indian Space research organisation (ISRO) is the organisation which is responsible for research and development of space technology & its application to various national tasks. We all know that, ISRO launched Mangalyan successfully in its very 1st attempt. In FY16, ISRO filed 25 patent applications. ISRO has been investing in developing a IPR portfolio, which now consists of more than 270 patents, 45 copyrights and 10 trademarks.

ICMR:

 Indian Council for Medical Research (ICMR) is the apex body in India which look after formulation, coordination & promotion of biomedical research. It is one of the oldest medical research bodies in the world. ICMR has filed 10 patent applications in 2016. CSIR topped the list of Indian patent grantees in 2018-19, with 166 patents.

C-DAC:

Centre for development of advanced computing (C-DAC) is a premier R&D organisation of the Department of Information Technology (DIT).It is engaged in research in the areas of supercomputers, applied electronics, technology, applications & health informatics. C-DAC filed 20 patent applications in FY16.

IIT:

Indian Institute of Technologies (IIT’s) is a group of autonomous engineering & technology oriented institutes of higher education• Indian Institutes of Technology (IITs) is planning to monetise intellectual properties (IPs) by exploring tie-ups with firms that invest in “inventions”. In FY16, IITs filed 453 patent applications. Indian Institute of Technology-Delhi filed 150 patents in 2019

NDIR:

National dairy research Institute (NDRI) is engaged in research, teaching & extension activities in areas of dairy production, processing, management & human resource development • Its research activities focus on improving dairy productivity, innovating milk processing technologies & disseminating information to the various stakeholders in dairy business to make dairying a self-sustaining business • In FY-16 NDRI filed 4 patents• From 2006 to 2018 NDIR has filled 73 patents.

IISC:

Indian Institute of Sciences (IISc) is engaged in research in various departments of science such as biological, chemical, electrical, mathematical, physical & mechanical sciences. The number of filed patents increased to 44 during FY16.Till June 19 number of filed patent became 149.

Is Patent Data Big?

The ‘3Vs’ definition of ‘big data’ is certainly applies to patent data. The global patent data set today totals over 100 terabytes, with millions of new patent documents and updates made public every week. Ever-increasing patent data volumes and variety show no signs of slowing down. Patent data is uniquely suited for Big Data tools and techniques because of its high volume, high variety, and high variety of changes.

 Big Data Analytics in Patent world:

The fourth component of Big Data definition is veracity. The veracity is nothing but uncertainty of data. Most of the patent data is structured data and it may have manual errors. To overcome these manual errors Big Data technology can be utilised in the best way. As per i-am media magazine, ”International Business Machine corporation,” was misspelled with 1000 different ways within the US patent and trademark office. Big data technologies with machine learning can be utilised to overcome such types of errors and give a unique identity to patent owner. Any additional data like extension in the date of expiry, renewal of patent is maintained in the separate file. These files containing connected information can be linked together with Big Data technology.

Skillville view point:

India examined over 85,400 patent applications in 2018-19.It is  around five times more than the number in 2015-16.Using Big Data technology in the patent world can avoid unwanted investment in various aspects like licensing or selling patents, renewal decisions and to decide litigation strategies. Use of   Big Data analytics in patent world can also provide an answers of big questions like are we ahead or behind than our competitors? Does our country provide strong protection against patents and copyrights? Where we stand in front of our competitor?

Indian patentee can derive valuable insights by analysing above mentioned aspects with the use of  Big Data Technology rather than just discussing a limited number of patents filed or just with consultant’s filled report.

End of the day, it’s all about business. Using Big Data Technology in patent world can not only provide unique insights in improvisation of product to be patented but also increase the business value of decisions  taken in patent lifecycle as well as in business.

References:

1] https://www.iitsystem.ac.in/?q=patents/view

2] https://www.isro.gov.in/isro-technology-transfer/patent

3] https://www.niih.org.in/patents.php

4] http://www.ndri.res.in/ndri/Design/patents.html

5] http://www.iisc.ac.in/research/patents/?mode=list

6] https://www.iam-media.com/rise-big-data-managing-patent-portfolio

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