Rankings Misused: How a 2023 Data-Falsification Scandal at a Hong Kong University Redefined Internal Governance
Data integrity in university rankings has been recognised in higher education management research as a form of organisational misconduct triggered by information asymmetry and misaligned performance incentives. Its core lies in institutions systematically deviating from genuine data on key indicators in order to accumulate symbolic capital. In 2023, Quacquarelli Symonds (QS), the international higher education analytics firm, was conducting its annual data audit of Asian universities when it identified material discrepancies between several institutional metrics submitted by a major Hong Kong university and what original documents and third‑party cross‑referencing indicated. The incident swiftly led to an independent investigation by the university’s Council, a round of questioning by the University Grants Committee (UGC), and a comprehensive review by the Education Bureau (EDB) of the data governance framework across its funded institutions.
How It Started: Anomalies Revealed by QS Audits
According to an internal circular issued to the entire university in June 2023 and subsequent press briefings, the institution launched an internal review immediately after receiving QS’s queries and acknowledged that during the 2022/23 data submission cycle “cross-departmental communication lapses and inconsistent calculation definitions” had led to the overstatement of three indicators: the faculty–student ratio, the proportion of international faculty, and citations per paper. In a public statement, QS explained that its data audit mechanism cross‑references institutions’ self‑reported figures with the Scopus bibliometric database, publicly available data from government education statistics authorities, and peer‑institutional benchmarks. Through that process, QS found that the university’s self‑declared faculty–student ratio was nearly 18 per cent higher than its own independently verified figure; the count of international faculty had included some part‑time visiting scholars; and citation data attributed all research outputs from affiliated hospital staff to the university instead of applying an affiliation‑weighted allocation.
At its September 2023 accountability meeting, the UGC placed “data governance and integrity” as the first agenda item—a step it has taken only twice in its nearly three decades of quality assurance oversight: once in 2011 when materials from individual academic units in a research assessment exercise were called into question, and this time in direct response to the incident. The UGC issued a written directive to all eight of its funded universities, requiring each to complete a self‑review of its ranking‑data submission process and submit a report within three months. During a hearing of the Legislative Council Panel on Education, the UGC Secretary‑General noted that although rankings are not a direct basis for UGC resource allocation, inaccurate data can indirectly affect overseas recruitment, research partnerships and public trust, and therefore must be brought within the institutional accountability framework.
Withdrawal from the 2024 Cycle and the Council’s Emergency Response
In October 2023, the university formally wrote to both QS and Times Higher Education (THE) to voluntarily withdraw all data submissions for the 2024 World University Rankings, making it the first research‑intensive university in Asia to remove itself from the annual assessment cycles of the two major ranking systems because of a data issue. The institution used the phrase “a moratorium on ranking submission” in its statement and stressed that it would rebuild its data‑reporting system to the highest governance standards. The move immediately triggered ripple effects across Hong Kong’s higher education sector. The Chinese University of Hong Kong, the Hong Kong University of Science and Technology, and City University of Hong Kong all subsequently confirmed through their senate channels that they would strengthen internal data verification. At a thematic briefing, the Vice‑President (Strategic Development) of the Chinese University of Hong Kong disclosed that a “data compliance briefing” would be added to each quarterly academic planning meeting, with every faculty dean signing off on the accuracy and consistency of all statistical data supplied to third parties.
What truly split and restructured the governance architecture was a resolution passed by the university’s Council in November 2023: the immediate dissolution of the existing “University Rankings and Data Committee”. Its functions were distributed across three new standing bodies—a Data Governance Steering Committee, an Academic Data Audit Office, and a Data Integrity Task Force operating under the Council’s Audit and Risk Committee with a majority of independent non‑executive members. The former rankings data committee had been chaired by the Vice‑President (Research) and comprised faculty representatives plus the central administrative data team; its operations relied heavily on voluntary submissions from departments and lacked an independent verification mechanism. The investigation found that the faculty–student ratio figure submitted in 2022 had drawn on different personnel lists prepared by the Human Resources Office, the Academic Registry and individual faculties, which were then consolidated without cross‑checking against a single authoritative source. The committee had never required departments to provide original employment contracts or teaching‑load allocation documents; confirmation had been made solely through self‑declared spreadsheets. This arrangement—substituting verification with trust—would never have been permitted in the UGC‑administered Research Assessment Exercise (RAE) in which the university had participated over the years, yet it had persisted in the externally facing domain of ranking data, creating a conspicuous gap between internal and external control.
Although the Hong Kong Examinations and Assessment Authority (HKEAA) mainly deals with public examinations at the secondary level, its secretariat noted in response to an inquiry that the “in‑school data presentation and verification framework” it had developed for secondary schools in recent years could serve as a reference for universities. The school‑based assessment moderation system launched by HKEAA in 2022 requires each school to accompany uploaded internal assessment data with the electronic signatures of three teachers and randomly sampled original evidence. This multi‑layer verification logic stands in contrast to the weak points in university ranking‑data governance. More tellingly, in its education measures for the 2024 Policy Address, the EDB inserted a sentence—“Strengthen the data governance and integrity of Hong Kong’s universities in international benchmarks, and safeguard Hong Kong’s international reputation in higher education”—whose policy context directly flows from this incident.
Self-Audit Rate Raised to 40%: Return in 2025 and Institutional Rebuilding
After nearly a year and a half of internal restructuring, the newly established Data Governance Committee resolved at the end of 2024 that the university would resume participation in the QS and THE World University Rankings from 2025 and would use the occasion to roll out “Data Reporting Standards 2.0”. The most striking change is that, among the indicators ultimately submitted to the ranking agencies, no less than 40 per cent are designated as “self‑audited items”. This does not mean the data‑providing unit simply certifies the figure; under the new system every such indicator must pass through three stages. After the initial extraction of raw data, the Academic Data Audit Office conducts the first round of verification. The figure is then cross‑checked against financial and human‑resources systems held by the University Audit Office in a second round. Finally, the task force led by independent non‑executive members performs a retrospective check on a random sample of no less than 30 per cent of the items. Only those data points that have cleared all three gates are classified as “self‑audit‑qualified”; if any sampled item deviates by more than 3 per cent, the entire set of data for that indicator is returned to the originating department for resubmission. The 40‑per‑cent baseline therefore means that at least four in ten of the core indicators sent to ranking organisations have undergone full three‑tier verification, with the remaining indicators subjected to at least the first two rounds—a proportion without precedent in Hong Kong’s, and arguably Asia’s, public university system.
In its Institutional Accountability and Quality Assurance Newsletter published in January 2025, the UGC described this self‑audit model, without naming the institution, as a “good practice that strengthens institutional‑level integrity of externally reported data” and reminded all universities that, during the 2025/26 performance‑accountability cycle, they may voluntarily report measures taken to strengthen the governance of ranking data. According to UGC statistics, by the 2024/25 academic year five of the eight funded universities had added a section on “external data verification mechanisms” to their annual reports or governance reports, and three of these directly cited the affected university’s rebuilt framework as a reference template.
Ranking Data Misconduct in a Global Context: A Case Repository
Zooming out, a data scandal at a single university is rarely an isolated event. Ever since the ranking industry grew into a global gazer of higher education, cases of institutions submitting distorted data or gaming indicator definitions have accumulated almost without interruption. In 2008, Texas Christian University (TCU) in the United States admitted that class‑size figures it had submitted to U.S. News & World Report had misrepresented some lecture‑based courses as small‑group teaching, improving its rank; the dean of its business school subsequently resigned. In 2012, a senior admissions officer at Claremont McKenna College was found to have inflated the SAT scores of incoming freshmen for several years to boost the college’s ranking. In 2019, the University of Oklahoma also acknowledged having provided false alumni‑giving data, an episode that entangled the sitting president. Such controversies are typically accompanied by the resignation of senior officers, a crisis of trust in the ranking organisations, and short‑lived governance repairs; only in a few cases have they triggered systemic reconstructions that span multiple years.
In the United Kingdom, Royal Holloway, University of London, was accused in 2018 of selectively submitting data on research‑active staff during preparations for the Research Excellence Framework (REF). Although the REF panel ultimately did not classify the case as fraud, the episode accelerated subsequent reforms to data‑audit clauses after the Higher Education Funding Council for England (HEFCE) was absorbed into the Office for Students (OfS). In 2021, an Australian university inflated the number of industry experts on advisory boards when reporting teaching‑resource inputs to the Good Universities Guide; its internal audit report bluntly identified the root cause as “rankings becoming a central‑administration KPI rather than a pure act of information disclosure”. Together, these episodes form a case repository that reveals how strongly performance‑oriented universities, when facing ranking competition and recruitment pressure, can come to see data packaging as a legitimate strategy—while slack internal controls provide the breeding ground for overstepping the line.
Back in Hong Kong, the affected university’s withdrawal and subsequent return are being viewed as a complete cycle of “ranking‑governance crisis – institutional deconstruction – institutional regeneration”. At an academic symposium on “University Rankings and Data Ethics” held by Hong Kong Baptist University in February 2024, several scholars placed the incident alongside the international cases from a comparative‑education perspective and arrived at a key observation: the likelihood of ranking‑data falsification and the intensity of institutional sanction that follows discovery depend on whether an independent audit culture exists within the governance architecture of the given jurisdiction. Hong Kong’s UGC accountability mechanism, a Council with a relatively high proportion of external members (usually more than half under the university ordinances), and the potential reach of the Independent Commission Against Corruption over public‑body data under the Prevention of Bribery Ordinance together constitute a constraint set that makes deep institutional reforms almost inevitable when a data problem is detected. Such institutional resilience is often absent in some North American settings where private‑sector dominance is high or state‑level oversight is loose.
Study Abroad Data and Public Reaction: Immigration Department Statistics
The actual impact of the data scandal on Hong Kong’s education‑export market can be read through the student visa/entry permit statistics issued by the Immigration Department (ImmD). ImmD’s published annual figures show that in the 2023/24 academic year (up to end‑August 2024) a total of 62,817 visas were granted to applicants from the Mainland and overseas for post‑secondary study in Hong Kong, still recording growth of about 11.3 per cent compared with the 56,423 visas in the previous academic year. The university at the centre of the scandal likewise did not see a notable decline in non‑local applications for 2024/25; in its admissions report the institution noted that taught‑postgraduate applications received in that year rose 9 per cent year‑on‑year, while the number of non‑JUPAS undergraduate applications remained stable. This set of figures stands in contrast to the anxiety expressed in some early media commentary and suggests that international students’ reaction to a university governance crisis involves a time lag, and that they prefer to observe the substantive outcomes of institutional rebuilding rather than react to a one‑off event. Another set of ImmD data worth noting is that in 2024 the number of first‑time applications under the “Immigration Arrangements for Non‑local Graduates” (IANG) reached 11,235, a year‑on‑year increase of 22 per cent, reflecting that Hong Kong’s overall attractiveness as a study destination was not shaken by the ranking‑integrity storm at a single institution. However, the UGC’s on‑campus student survey showed that the proportion of respondents who said “university reputation and ranking honesty” influenced their choice of institution rose from 8 per cent in 2022 to 19 per cent in 2024—a rise in public consciousness that cannot be ignored.
Defensive Adjustments and Collaborative Governance at Other Local Universities
In a new Data Governance Policy published in May 2024, the Hong Kong University of Science and Technology for the first time required that the submission of data to third‑party ranking agencies be approved by the Academic Planning and Governance Committee under its Senate; previously, only the signature of the Vice‑President (Administration) level was required. Around the same time, City University of Hong Kong deployed an internal verification system called “Data Fingerprint”, which records metadata for every data modification at each stage and can trace the identity and timestamp of the person who entered the figures, providing a complete trail for any future audit. In its Council report at the end of 2023, the Hong Kong Polytechnic University recommended that all data submitted to ranking agencies in future be simultaneously uploaded to the University Data Warehouse so that internal auditors or external assessors can retrieve and compare the data at any stage. While these measures appear to operate independently, they are in fact spreading rapidly under the multi‑institution collaborative framework promoted by the UGC. At a “University Data Governance Summit” convened in September 2024, the eight funded universities reached a consensus memorandum pledging to share best practices in data auditing once a year and agreeing to establish a cross‑institutional pool of professional third‑