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Topic · Management Science and Operations Research

Data Quality and Management

Data Quality and Management is a research topic within Management Science and Operations Research. Science Explorer counts 26k research works in it since 1953. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on data quality assessment, improvement, and related techniques such as record linkage, data cleaning, entity resolution, information quality benchmarks, and privacy-preserving record linkage. It also covers topics like name disambiguation, data integration, and the challenges of data quality in the era of big data.

  • Record Linkage
  • Data Cleaning
  • Entity Resolution
  • Information Quality
  • Duplicate Detection
  • Name Disambiguation
  • Data Integration
  • String Similarity
  • Big Data
  • Privacy Preserving
Research works
26k
fractional, since 1953
In the world top 10%
2.5k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+15%
the tick is no change
Largest producer
China
27% of the 10 largest, 2022-now
Data Quality and Management

Which countries lead Data Quality and Management research?

By volume, China and the United States publish the most (1.3k and 1.3k works in 2022-now).

By volume, 2022-now

  1. 1 China 1.3k works
  2. 2 United States 1.3k works
  3. 3 Germany 583 works
  4. 4 India 422 works
  5. 5 United Kingdom 304 works
  6. 6 Brazil 225 works
  7. 7 Italy 205 works
  8. 8 France 191 works
  9. 9 Canada 150 works
  10. 10 Australia 149 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 27.0%United States: 26.9%Germany: 12.0%India: 8.7%6 others listed: 25.3%27%largest
China1,308 · 27.0%United States1,302 · 26.9%Germany583 · 12.0%India422 · 8.7%6 others listed1,224 · 25.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Data Quality and Management research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Data Quality and Management research, followed by Centre National de la Recherche Scientifique and Film Independent.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 52 works
  2. 2 Centre National de la Recherche ScientifiqueFrance 46 works
  3. 3 Film IndependentUnited States 36 works
  4. 4 National University of Defense TechnologyChina 33 works
  5. 5 Helmholtz Association of German Research CentresGermany 33 works
  6. 6 Leibniz AssociationGermany 32 works
  7. 7 Fraunhofer-GesellschaftGermany 31 works
  8. 8 Tsinghua UniversityChina 30 works
  9. 9 RWTH Aachen UniversityGermany 29 works
  10. 10 Northeastern UniversityChina 24 works

Who are the leading researchers in Data Quality and Management?

The most-cited researchers publishing on Data Quality and Management include David Moher, Yoshua Bengio and Matthias Egger.

  1. 1 David Moher Canada 898k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Matthias Egger Switzerland 326k citations
  4. 4 Donald B. Rubin United States 301k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Data Quality and Management?

The most cited paper in Data Quality and Management is "The REDCap consortium: Building an international community of software platform partners" (Paul A. Harris, Robert J. Taylor, Brenda L. Minor et al., 2019), with 25,189 citations. Next come "k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY" (8,620) and "Business Intelligence and Analytics: From Big Data to Big Impact" (6,224).

Most cited papers
#PaperReleasedCitations
1 The REDCap consortium: Building an international community of software platform partners Paul A. Harris, Robert J. Taylor, Brenda L. Minor et al. · Journal of Biomedical Informatics Open access 9 May 2019 25,189
2 k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY Latanya Sweeney · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Oct 2002 8,620
3 Business Intelligence and Analytics: From Big Data to Big Impact Hsinchun Chen, Roger H.L. Chiang, Veda C. Storey · MIS Quarterly Dec 2012 6,224
4 The Entity Relationship Model — Toward a Unified View of Data Peter Pin-Shan Chen Book chapter 2002 5,774
5 Beyond Accuracy: What Data Quality Means to Data Consumers Richard Y. Wang, Diane M. Strong · Journal of Management Information Systems Mar 1996 4,615
All 98 most cited papers, with filters and sorting

Where is Data Quality and Management research done?

The largest centres of Data Quality and Management research in 2022-now are Beijing (China), Shanghai (China), London (United Kingdom) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Mannheim.

Largest cities, 2022-now

  1. 1 BeijingChina 325 works
  2. 2 ShanghaiChina 93 works
  3. 3 LondonUnited Kingdom 77 works
  4. 4 NanjingChina 71 works
  5. 5 New YorkUnited States 60 works
  6. 6 WuhanChina 58 works
  7. 7 Los AngelesUnited States 55 works
  8. 8 GuangzhouChina 55 works
  9. 9 ParisFrance 55 works
  10. 10 HangzhouChina 54 works

Where it is the local speciality

  1. MannheimDE · 34.4 works22×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Data Quality and Management than the world average.

See Data Quality and Management on the map

Where is the best place to study Data Quality and Management?

Among universities, judged by research, Tsinghua University, Zhejiang University and National University of Defense Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 21.52%fractional works in this field (log) →share of work in the world top 10% →University of Scienc…Zhejiang UniversityTsinghua UniversityNational University …
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Tsinghua UniversityChina 72.223.0%2.1×30 +37.4%
2Zhejiang UniversityChina 63.725.3%1.4×22 +143.4%
3National University of Defense TechnologyChina 62.512.8%7.2×34 +50.1%
4University of Science and Technology of ChinaChina 61.340.4%1.5×10 +101.8%
5RWTH Aachen UniversityGermany 60.19.7%6.2×29 +36.2%
6Hong Kong University of Science and TechnologyChina 58.223.0%4.1×10 +72.7%
7National University of SingaporeSingapore 57.830.8%1.6×12 +23.9%
8Tongji UniversityChina 55.624.8%1.6×15 +157.5%
9University of MannheimGermany 54.610.5%30.3×17 +44.4%
10Beihang UniversityChina 54.314.9%3.0×20 +52.9%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Data Quality and Management, country by country

Is Data Quality and Management research growing?

Output in 2022-2025 was 15% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Data Quality and Management.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Data Quality and Management as a percentage of every work published that year, 0.031% in 2024.

still counting0.020%0.040%Data Quality and Management0.031% in 202519801990200020102020

Fractional works of Data Quality and Management over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Data Quality and Management9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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