official guidance

G.O.(Ms)No.65, Creation of an Expert Advisory Committee, 2024

The Planning, Development and Special Initiatives (ST.2&E) Department issued G.O.(Ms)No.65 on 13 March 2024, constituting an Expert Advisory Committee to review and improve the collection, compilation, analysis and dissemination of Tamil Nadu's state-level socio-economic data. The committee may recommend reforms, including international best practices, new data sources and technologies, but the document does not create or change any land ownership, registration or property transaction requirement.

Category
Revenue and land administration
Effective
1 January 2024
Pages
3
Status
In force
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What the government order does

G.O.(Ms)No.65, issued by the Planning, Development and Special Initiatives (ST.2&E) Department on 13 March 2024, creates an Expert Advisory Committee for Tamil Nadu's socio-economic statistics. The committee will review the statistical work of the Department of Economics and Statistics, whose publications include Gross State Domestic Product, inflation and the Index of Industrial Production.

The stated purpose is to improve the credibility and usefulness of data used for government policy planning and decision making.

Who is on the committee

The Expert Advisory Committee consists of:

  • The Additional Chief Secretary to Government, Planning and Development Department.
  • The Principal Secretary to Government, Finance Department.
  • The Officer on Special Duty for strengthening statistical systems.
  • The Director, Department of Economics and Statistics.
  • Any special invitee selected by the committee.

Thiru. Pratik Tayal, Indian Administrative Service, Deputy Secretary (Budget) to Government, Finance Department, is nominated as the Officer on Special Duty and will act as Member Secretary. The terms and conditions of that post will be issued separately.

Main responsibilities

The Expert Advisory Committee is authorised to:

  • Review how the Department of Economics and Statistics collects, compiles, analyses and publishes data.
  • Review dataset definitions, classifications and data sources used for leading state socio-economic indicators.
  • Suggest studies and new indicators for publication.
  • Recommend improvements to the data collection machinery.
  • Consider revised compilation methods and new data sources.
  • Discuss state-specific indicator issues with the Government of India.
  • Explore big data, artificial intelligence and machine learning for compiling and analysing indicators.
  • Support data exchange between departments for better collection and informed decision making.
  • Consult other states, institutions and experts about improving indicators.

The committee must meet regularly, at least once every three months.

Relevance to land and property readers

G.O.(Ms)No.65 concerns government statistical systems and socio-economic indicators. It does not contain provisions changing land classification, ownership records, registration, planning permission, property taxes or land transactions. Property buyers, owners and land professionals therefore have no direct compliance requirement under the document.

This summary is generated from the source document to help you find what is relevant. The PDF above is authoritative. For advice on your own property, use LandLens One or speak to a qualified professional.

Common questions

Does G.O.(Ms)No.65 change any Tamil Nadu land or property rule?

No land or property rule is set out in the document. It creates a committee to review and improve state-level socio-economic data.

How often must the Expert Advisory Committee meet?

The committee must meet at regular intervals, at least once every three months.

Who acts as Member Secretary of the committee?

Thiru. Pratik Tayal, Indian Administrative Service, Deputy Secretary (Budget) to Government, Finance Department, is nominated as Officer on Special Duty and Member Secretary.

Can the committee consider artificial intelligence and new data sources?

Yes. Its responsibilities include exploring big data, artificial intelligence and machine learning, as well as possible methodology revisions involving new data sources.