Work through the five NIRF parameters — TLR, RPC, GO, OI and Perception — and tick which data points you can evidence from records. You get a parameter-wise and weighted overall readiness view, so you see where data is missing before submission. It runs in your browser, nothing is stored — and it shows readiness only, never a rank or score prediction.
weighted by your parameter weights · readiness view, not a rank
Parameter weights (vary by NIRF category)
A readiness self-audit for planning only. The items below are an indicative, simplified guide to common NIRF data points — not the official NIRF data-capture formats. Parameters, sub-parameters and weights are defined by NIRF, vary by category, and change between editions; always work from the current official NIRF framework for your category. This tool reflects data readiness only and does not calculate, predict or guarantee any NIRF rank or score — those are determined by NIRF from verified data.
The background
The National Institutional Ranking Framework (NIRF) is the Government of India's official ranking system for higher education, run by the Ministry of Education since 2015. It condenses an enormous amount of institutional data into a single weighted score and ranks institutions within categories — Overall, University, Engineering, Management, Medical, Law, Pharmacy and more, plus a Sustainable Development Goals category added in 2025. The score is built from five parameters, each marked out of 100 and combined using category-specific weights.
Typically the largest block alongside research, TLR looks at student strength, the student-faculty ratio with emphasis on permanent faculty, the share of faculty with PhDs and experience, financial resources and their utilisation, and physical and academic infrastructure. Recent editions fold in NEP-2020-aligned signals such as multiple entry/exit options, online education and regional-language instruction.
RPC measures research volume and quality — publications and their citations, intellectual property and patents, and sponsored projects and consultancy earnings. The 2025 framework tightened penalties for retracted research, making research quality and integrity, not just count, decisive. This is the parameter most exposed to DVV-style verification against indexed databases.
GO is about what happens to students: placement and higher-studies progression, university examination results and the median salary, and the number of PhDs the institution produces. It rewards institutions that not only admit students but carry them to good outcomes.
OI captures diversity and access: students from other states and countries, women's representation among students and faculty, students from economically and socially challenged backgrounds, and facilities for differently-abled students. It is usually the parameter on which institutions cluster most closely.
Perception is the reputational parameter — how academic peers, employers and the wider public rate the institution. It is gathered through structured surveys and is the hardest to influence quickly, which is why the underlying data in the other four parameters matters so much over time.
A common split for the University and Overall categories is TLR 30, RPC 30, GO 20, OI 10 and Perception 10, but the weights and sub-parameters differ across categories — which is why this tool lets you edit them. The single score is then:
Institutions submit through the NIRF portal; NIRF verifies the data against public records and third-party databases, and now requires it to be hosted on the institutional website for three years for public scrutiny. The practical implication mirrors NAAC's DVV: a figure you cannot evidence and stand behind publicly is a liability, not an asset. This checklist exists to surface exactly those gaps — which is why it measures readiness of your data and deliberately never attempts to forecast a rank, something only NIRF can determine.
Related tools: check accreditation-data readiness with the NAAC AQAR readiness checklist, and compute outcome evidence with the CO-PO attainment calculator. To compile NIRF submission data from live records, see NIRF ranking data management.
From checklist to live submission data
This checklist shows the gaps. CampusAlly keeps them from opening: the figures behind TLR, RPC, GO, OI and Perception — faculty ratios and qualifications, publications and patents, placement and higher-studies progression, diversity and inclusion data — are captured across the academics, research, placement, finance and admissions modules as they happen, with proof attached. The accreditation module compiles the NIRF parameter data with the same evidence trail it uses for NAAC, ready to host publicly as NIRF requires — without the annual scramble to reconstruct numbers nobody can source.
TLR
faculty ratios & resources from live data
RPC
publications & patents with proof
GO
placement & progression records
OI
diversity & inclusion data
About this checklist
NIRF evaluates institutions on five parameters: Teaching, Learning & Resources (TLR), Research & Professional Practice (RPC), Graduation Outcomes (GO), Outreach & Inclusivity (OI) and Perception (PR). Each is scored out of 100 and combined using category-specific weights into a single score used for ranking.
A common split for the University and Overall categories is TLR 30%, RPC 30%, GO 20%, OI 10% and Perception 10%. The exact weights and sub-parameters vary by category — Graduation Outcomes and Outreach can be weighted differently for architecture or management — so this tool lets you edit them to match your category.
No. It is a data-readiness checklist only. It shows which data points and proofs you can evidence against the five parameters, so you can see where data is missing before you submit. It does not calculate, predict or guarantee any NIRF rank or score — those are decided by NIRF from verified data through its own process.
Institutions submit data through the NIRF portal. NIRF verifies it against public records and third-party databases, and requires the submitted data to be hosted on the institutional website for public scrutiny for three years. Because verification is strict, every figure should be one you can evidence from records — which is exactly what this checklist asks you to confirm.
NIRF is a ranking framework that orders institutions on a single weighted score across five parameters, published annually across categories. NAAC is an accreditation framework that assesses quality against seven criteria with AQAR/SSR and DVV verification. They share underlying data but are separate exercises. Use our NAAC AQAR readiness checklist for the accreditation side.
Yes, completely free with no login. Everything runs in your browser and nothing you enter is sent to a server or stored. You can use it whether or not your institution runs CampusAlly.
CampusAlly captures the figures behind all five parameters across modules as they happen, with proof attached, and compiles NIRF submission data ready to host for public scrutiny.
