R&D Funding in India: Bridging Data Gaps and Democratizing Research

Context

A recent NITI Aayog report, Ease of Doing R&D in India, has highlighted significant gaps in India’s research-funding architecture. Nearly 80% of funding from the Anusandhan National Research Foundation (ANRF) is concentrated in IITs, while multiple Central agencies operate with overlapping and disconnected funding databases.

The report also underlines the need to strengthen the proposed Unified Project Management System (UPMS) with Persistent Digital Identifiers (PIDs) and standardized metadata so that research grants can be tracked transparently from allocation to outcomes.

Why is R&D Funding Mapping Important?

• India currently lacks a common, machine-readable framework that can systematically identify who receives research funding, which agency provides it, the purpose of the grant, and whether similar research has already received public funding.
• Research information is distributed across separate databases maintained by agencies such as DST, CSIR, DBT and ICMR.
• The use of inconsistent and largely free-text information makes it difficult to identify funding concentration, overlapping projects, research outcomes and inefficient allocation of resources.

Major Trends in India’s Research Funding Landscape

• Concentration of ANRF Resources: Nearly 80% of ANRF funding is directed towards IITs, highlighting the uneven distribution of competitive research resources.
• Limited R&D Spending: India’s Gross Expenditure on R&D (GERD) remains around 0.6–0.8% of GDP, significantly lower than countries such as the US, China and Israel.
• Researcher Availability Gap: India has roughly 262 full-time researchers per million people, far below the levels recorded in leading research economies.
• Risk of Overlapping Grants: Fragmented funding systems make it difficult to automatically detect projects with substantially similar objectives that may receive support from different agencies.

Persistent Digital Identifiers: The Missing Digital Layer

A key solution proposed for improving research-funding visibility is the adoption of Persistent Digital Identifiers (PIDs).

• Unique Grant Identity: Each publicly funded research project can receive a permanent, machine-readable identifier, similar in principle to how PAN identifies taxpayers or IMEI identifies mobile devices.
• Structured Grant Information: The identifier can be connected with information such as the funding agency, institution, principal investigator, grant amount, duration and research field.
• Connecting Funding with Results: Grant identifiers can be incorporated into research papers, datasets and patents, allowing funding agencies to trace the outcomes generated from public expenditure.
• Resolving Naming Differences: Standard identifiers can overcome variations in institutional and researcher names across different government databases.

Building an Interoperable Research Data Network

India can draw upon international identification and metadata systems to create a connected R&D information ecosystem:

• Funder Identification: Standardized identifiers can distinguish individual funding organisations and their administrative units.
• Research Organisation Registry (ROR): A persistent institutional identifier can eliminate confusion caused by different names or spellings for the same research organisation.
• ORCID: The Open Researcher and Contributor ID can uniquely identify scientists and connect their grants, publications and research contributions.
• Grant DOI: A Digital Object Identifier for individual grants can establish a permanent link between funding and subsequent papers, datasets and patents.

Structural Weaknesses in India’s R&D Financing System

1. Disconnected Funding Portals

Different Central agencies maintain separate platforms with incompatible databases and varying information formats, restricting cross-agency analysis.

2. Limited Duplicate-Project Detection

The absence of a unified screening mechanism makes it difficult to identify similar or overlapping research proposals submitted to different departments.

3. Unequal Institutional Access

The concentration of research resources in premier Central institutions can widen the gap between IITs and other institutions, particularly state universities and smaller research centres.

4. Administrative Constraints

Researchers often face lengthy procurement processes, fellowship delays and rigid financial procedures, reducing the amount of time available for actual research.

5. Weak Outcome Tracking

Research funding is not always systematically connected with the patents, publications, datasets or technologies generated from the grant.

How Can India Improve Research-Funding Governance?

• Create an Integrated Digital Platform: Develop the UPMS as a unified interface for research-project registration, funding information and outcome monitoring.
• Introduce Globally Compatible IDs: Integrate systems such as ROR, ORCID and grant-level identifiers to enable interoperability with international research databases.
• Broaden the Funding Base: Introduce mechanisms within ANRF to improve access to competitive funding for state universities and emerging research institutions.
• Make Grant Attribution Compulsory: Require publicly funded researchers to mention their grant identifier in academic publications, patent applications and research datasets.
• Strengthen Duplicate Screening: Use AI-enabled semantic matching to identify substantially similar proposals across different funding agencies.
• Reduce Administrative Friction: Simplify procurement, accounting and fellowship procedures so researchers can devote greater time to scientific work.
• Increase National R&D Investment: Establish a phased roadmap to move India’s GERD towards 2% of GDP, accompanied by stronger monitoring of research outcomes.

Significance for India’s Innovation Ecosystem

A transparent research-funding map can help India:

• Reduce duplication in publicly funded research.
• Improve accountability for government R&D expenditure.
• Identify underfunded institutions and disciplines.
• Strengthen evidence-based allocation of research resources.
• Connect grants with measurable outcomes such as patents, publications and technologies.
• Expand research opportunities beyond a small group of premier institutions.
• Improve India’s global research competitiveness.

Conclusion

India’s challenge is not merely to increase expenditure on research but also to know where the money is going, who is receiving it and what outcomes it produces. A unified digital architecture supported by PIDs, standardized metadata and interoperable research identifiers can make the R&D ecosystem more transparent and efficient.

The proposed UPMS can provide the institutional foundation for this transformation. If combined with stronger duplicate-funding checks, wider access to ANRF resources and better outcome tracking, it can help India move towards a more decentralized, accountable and innovation-driven research ecosystem.

Source : The Hindu