Why India’s R&D system needs a map of where funds really go
Subject: GS III-Science and Technology
Context
A recent flagship report by NITI Aayog titled “Ease of Doing R&D in India”, accompanied by an extensive survey of over 400 institutional leaders and 850 scientists, has exposed critical structural vulnerabilities in India’s public research-funding architecture. Most notably, the survey revealed that nearly 80% of funding from the Anusandhan National Research Foundation (ANRF) is concentrated within a handful of premier institutions like the IITs, undercutting the ANRF’s primary mandate to democratize and expand research access to state universities and colleges.
Key Structural Bottlenecks Identified in the Report
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Funding Concentration: Financial allocations remain heavily skewed toward elite central institutes, leaving a vast majority of regional universities and state-level research bodies starved of competitive funding.
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Duplication and Overlap Across Central Agencies: Multiple central agencies (such as the Department of Science and Technology, Council of Scientific and Industrial Research, and others) frequently fund similar thematic areas (e.g., green hydrogen or carbon capture) without cross-departmental coordination. This leads to a systemic duplication of efforts and inefficient utilization of limited public capital.
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The Data Black Hole: The core impediment is the absence of an integrated tracking system. Currently, data on who is funded, by which agency, for what project, and with what financial quantum is scattered across fragmented, inconsistent agency databases and free-text fields.
Why Fragmented Data Harms National R&D
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Inconsistent Identifiers: Variations in how researcher and institution names are recorded across different portal databases prevent automated systems from recognizing common entities.
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Inability to Track Outcomes: Without a unified repository linking grants to tangible outputs—such as peer-reviewed papers, patents, commercialized products, and datasets—policymakers cannot measure return on investment (ROI) or align spending with national priorities.
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Global Precedents of Waste: International studies illustrate the high cost of fragmentation. For example, a 2013 U.S. analysis estimated that duplicate or heavily overlapping grants cost nearly $70 million, while a 2020 Danish study revealed severe systemic concentration of competitive grants within narrow scholarly circles.
The Solution: Persistent Identifiers (PIDs) and Metadata Infrastructure
To establish transparency, NITI Aayog has proposed the creation of a Unified Project Management System (UPMS) to streamline planning, monitoring, and evaluation. However, an effective UPMS requires a robust metadata and machine-readable identification architecture backed by Persistent Identifiers (PIDs):
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What is a PID? A permanent, unique, and machine-readable identifier for a research grant, functioning analogously to a PAN card for a taxpayer or an IMEI number for a mobile device.
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Global Standards via Crossref: Rather than building a registry entirely from scratch, India can leverage established global frameworks like the Crossref Grant Linking System, which utilizes:
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Funder IDs to track funding agencies.
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ROR IDs (Research Organization Registry) to identify institutions.
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ORCID IDs to accurately map individual researchers.
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Grant DOIs to permanently link individual projects to their resulting publications, patents, and datasets.
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Strategic Pathways for India
India faces three distinct architectural choices for deploying this tracking framework:
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Sovereign Greenfield Registry: Building an independent national grant database entirely from scratch.
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Direct Global Integration: Fully integrating Indian funding portals into the existing Crossref global ecosystem.
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Hybrid Model (Recommended): Establishing national ownership and sovereignty through the proposed UPMS while ensuring its technical metadata standards remain globally compatible with tools like ROR and ORCID.
(Global precedents like the U.K.’s Gateway to Research and EU systems like CORDIS and OpenAIRE successfully demonstrate how government-owned portals can generate globally interoperable identifiers).
Conclusion
Transitioning India from an institution-centric, opaque funding model to a transparent, data-driven, and outcome-oriented R&D ecosystem is vital. By implementing interoperable PIDs through initiatives like the UPMS, policymakers can accurately spot duplication, eliminate excessive institutional bias, identify neglected scientific domains, and ensure that public R&D expenditure directly drives India’s technological self-reliance and innovation potential.
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