Securities and Exchange Board of India (SEBI) has restructured its advisory committee on market data that suggests policy measures related to areas such as securities market data access and privacy.

Restructuring its market data advisory committee, SEBI has said the panel will now have 21 members, according to the latest information with the market regulator. Earlier the advisory committee had 20 members.

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MS Sahoo, Professor at National Law University, Delhi and former chairman of the Insolvency and Bankruptcy Board of India (IBBI), is chairman of the advisory committee.

In addition to Sahoo, CEOs of stock exchanges and depositories, representatives of various stakeholders and senior officials of SEBI are also included in the panel.

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Members of the advisory committee include Nitin Kamath, Founder & CEO, Zerodha Broking Ltd; Suhas Tuljapurkar Managing Partner, Legagis; Sreekanth Nadella CEO & COO at Kfintech; Ranjit Pawar Managing Director, South Asia at Refinitiv; Kiran Shetty, CEO and Regional Head – India & South Asia at SWIFT India and Raman Uberoi Senior Advisor Government & Regulatory Relations at CRISIL.

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Ashish Kumar Chauhan, Managing Director, BSE; Vikram Limaye, MD and CEO, NSE; Mahesh Vyas, MD of CMIE; Prithvi Haldea, chairman at Prime Database; and Anuj Kumar, CEO of CAMS will also continue as the panel members.

Ganesh Ramakrishnan Professor, Department of Computer Science and Engineering in IIT Bombay; Ashlesh Gosain, Regional Head – South Asia, Bloomberg LP, Mumbai and Reena Garg Scientist & Head (Electronics & Information Technology Department) at BIS are no longer part of the committee.

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The market data advisory committee is responsible for identifying segment-wise data perimeters, data needs and gaps, recommending data privacy and data access regulations applicable to market data.

It also recommends appropriate policy for access to securities market data. Apart from this, the panel also recommends standardization of data definitions; data validation techniques (single source of truth, validation) and data identification logic (usage of uniform codes for identifying and storing data – raw data and derived data).