Ease of Doing R&D in India’

GS-III: Science & Technology | R&D | Innovation | Digital Governance

Context

• NITI Aayog Report: The report on ‘Ease of Doing R&D in India’ found that nearly 80% of ANRF funding is concentrated in IITs, while multiple Central agencies may be funding overlapping research.
• Core Gap: India lacks a unified system showing who is funded, by whom, for what, and whether similar funding has already been provided.
• Proposed Solution: NITI Aayog has proposed the Unified Project Management System (UPMS) to streamline planning, funding, monitoring and evaluation of public R&D.

Key Problem: Fragmented Data

• Separate Databases: Research-funding information is scattered across multiple agencies in inconsistent formats.
• Identity Mismatch: Variations in researcher and institutional names make automated identification and comparison difficult.
• Result: This weakens the ability to detect duplicate funding, concentration and inefficient use of public money.

PIDs and Metadata

• PID: A Persistent Digital Identifier is a unique, permanent and machine-readable identifier for a researcher, institution, funder or grant.
• Metadata: It records details such as funding agency, researcher, institution, amount, duration and research field.
• Benefits: Linking these records enables tracking of grants → papers → patents → datasets.

Global Model

• Crossref: Provides digital infrastructure for linking research grants and outputs.
• ROR: Identifies research organisations.
• ORCID: Provides persistent identification of individual researchers.
• Grant DOI: Provides a permanent identifier for individual research grants.
• Value: Together, these systems enable detection of duplicate funding and funding concentration and facilitate global comparison.

UPMS

• Single Platform: UPMS can bring Central and State R&D funding agencies onto a common system.
• Grant Tracking: Grants can be assigned Crossref-compatible DOIs.
• Interoperability: Records can be linked with ROR and ORCID.
• Outcome Monitoring: Funding can be connected to research outputs and impact.

Policy Options

• Sovereign Registry: Build a completely India-specific grant registry, offering greater national control but requiring more time and resources.
• Global Integration: Directly integrate with the existing Crossref ecosystem, enabling faster implementation and interoperability.
• Hybrid Model: A nationally governed UPMS using global PID standards can combine sovereignty with international compatibility.

Way Forward

• Common Platform: Make UPMS the single platform for public R&D funding.
• Standardised Metadata: Adopt uniform data fields across funding agencies.
• Mandatory PIDs: Use Grant DOI, ROR and ORCID for grants, institutions and researchers.
• Duplicate Detection: Use machine-readable data to identify overlapping grants.
• Funding Equity: Monitor concentration and broaden research opportunities beyond established institutions.
• Outcome-Based Funding: Link public funding with measurable research outputs.

Conclusion

India needs to move from fragmented research funding to an interoperable, transparent and data-driven R&D ecosystem. A nationally governed UPMS built on global PID standards can improve efficiency, accountability, funding diversity and outcome assessment.

UPSC Mains Practice Question

Q. “Fragmented research-funding data limits the efficiency and accountability of India’s R&D ecosystem.” Discuss how PIDs, metadata and UPMS can address this challenge. (150 words, 10 marks)