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. 23.7% 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%
- 6.1k per year above
- Top-10% rate
- 23.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +26% the tick is no change
Which countries lead Data Quality and Management research?
By volume, the United States and China publish the most (1.2k and 1.1k works in 2022–2025).
By volume, 2022–2025
- 1 United States 1.2k works
- 2 China 1.1k works
- 3 Germany 521 works
- 4 India 368 works
- 5 United Kingdom 276 works
- 6 Brazil 209 works
- 7 Italy 185 works
- 8 France 174 works
- 9 Australia 135 works
- 10 Canada 133 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Data Quality and Management research?
By volume in 2022–2025, National University of Defense Technology publishes the most Data Quality and Management research, followed by Tsinghua University and RWTH Aachen University.
By volume, 2022–2025
- 1 National University of Defense Technology China 31 works
- 2 Tsinghua University China 26 works
- 3 RWTH Aachen University Germany 25 works
- 4 Northeastern University China 21 works
- 5 Film Independent United States 21 works
- 6 University of Illinois Urbana-Champaign United States 18 works
- 7 Zhejiang University China 17 works
- 8 Chinese Academy of Sciences China 17 works
- 9 Harbin Institute of Technology China 17 works
- 10 Peking University China 17 works
Who are the leading researchers in Data Quality and Management?
The most-cited researchers publishing on Data Quality and Management include Philip S. Yu, Wil M. P. van der Aalst and Jiawei Han.
- 1 Philip S. Yu 6.6k citations
- 2 Wil M. P. van der Aalst 5.5k citations
- 3 Jiawei Han 5.2k citations
- 4 David R. Karger 5.2k citations
- 5 Ian Foster 4.9k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Data Quality and Management research done?
The largest centres of Data Quality and Management research in 2022–2025 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, 2022–2025
Where it is the local speciality
- MannheimDE · 32.0 works22×
Location quotient: how much more of its research is in Data Quality and Management than the world average.
Where is the best place to study Data Quality and Management?
Among universities, judged by research, RWTH Aachen University, University of Mannheim and National Technical University of Athens 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | RWTH Aachen University Germany | 64.6 | 31.0% | 5.9× | 25 | +310.7% |
| 2 | University of Mannheim Germany | 61.7 | 32.3% | 29.2× | 16 | +46.3% |
| 3 | National Technical University of Athens Greece | 55.5 | 44.4% | 7.1× | 11 | +60.3% |
| 4 | Georgia Institute of Technology United States | 53.2 | 38.2% | 3.6× | 13 | +217.2% |
| 5 | Northeastern University United States | 53.2 | 33.6% | 5.6× | 10 | +344.7% |
| 6 | National University of Defense Technology China | 52.5 | 17.4% | 6.7× | 31 | +99.9% |
| 7 | Delft University of Technology Netherlands | 51.7 | 51.2% | 2.2× | 9 | +155.5% |
| 8 | Eindhoven University of Technology Netherlands | 49.4 | 54.4% | 3.9× | 8 | +26.3% |
| 9 | Technical University of Munich Germany | 46.2 | 35.6% | 2.6× | 12 | +139.0% |
| 10 | Tsinghua University China | 41.8 | 31.2% | 2.2× | 26 | -9.2% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Data Quality and Management research growing?
Output in 2018–2022 was 26% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Data Quality and Management.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
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.