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Topic · Information Systems

Research Data Management Practices

Research Data Management Practices is a research topic within Information Systems. Science Explorer counts 17k research works in it since 1950. 21.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers revolves around the practices, challenges, and opportunities of data sharing and stewardship in scientific research. It covers topics such as open science, research data management, data reuse, metadata, ecology, digital repositories, FAIR principles, and data citation.

  • Data Sharing
  • Scientific Data Management
  • Open Science
  • Research Data
  • Data Reuse
  • Metadata
  • Ecology
  • Digital Repositories
  • FAIR Principles
  • Data Citation
Research works
17k
fractional, since 1950
In the world top 10%
3.7k
per year above
Top-10% rate
21.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+39%
the tick is no change

Which countries lead Research Data Management Practices research?

By volume, the United States and Germany publish the most (1.1k and 634 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.1k works
  2. 2 Germany 634 works
  3. 3 United Kingdom 324 works
  4. 4 France 174 works
  5. 5 Netherlands 157 works
  6. 6 China 157 works
  7. 7 Italy 137 works
  8. 8 Australia 124 works
  9. 9 India 119 works
  10. 10 Canada 109 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.

United States: 36.6%Germany: 20.8%United Kingdom: 10.6%France: 5.7%6 others listed: 26.3%37%largest
United States1,116 · 36.6%Germany634 · 20.8%United Kingdom324 · 10.6%France174 · 5.7%6 others listed804 · 26.3%

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

Which institutions lead Research Data Management Practices research?

By volume in 2022–2025, University of Oxford publishes the most Research Data Management Practices research, followed by KU Leuven and RWTH Aachen University.

By volume, 2022–2025

  1. 1 University of OxfordUnited Kingdom 25 works
  2. 2 KU LeuvenBelgium 24 works
  3. 3 RWTH Aachen UniversityGermany 22 works
  4. 4 University of Illinois Urbana-ChampaignUnited States 19 works
  5. 5 Technische Informationsbibliothek (TIB)Germany 19 works
  6. 6 Karlsruhe Institute of TechnologyGermany 18 works
  7. 7 University of MichiganUnited States 17 works
  8. 8 State Public Scientific Technological Library of Siberian Branch of Russian Academy of SciencesRussia 16 works
  9. 9 Forschungszentrum JülichGermany 16 works
  10. 10 Leiden UniversityNetherlands 15 works

Where is Research Data Management Practices research done?

The largest centres of Research Data Management Practices research in 2022–2025 are London (United Kingdom), Berlin (Germany), Paris (France) and Beijing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Mannheim and Hanover.

Largest cities, 2022–2025

  1. 1 London United Kingdom 85 works
  2. 2 Berlin Germany 84 works
  3. 3 Paris France 71 works
  4. 4 Beijing China 56 works
  5. 5 Washington D.C. United States 48 works
  6. 6 Hanover Germany 47 works
  7. 7 Moscow Russia 46 works
  8. 8 New York United States 43 works
  9. 9 Amsterdam Netherlands 38 works
  10. 10 Rome Italy 32 works

Where it is the local speciality

  1. MannheimDE · 23.8 works23×
  2. HanoverDE · 47.4 works14×
← less than its size predicts1×more →

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

See Research Data Management Practices on the map

Where is the best place to study Research Data Management Practices?

Among universities, judged by research, KU Leuven, RWTH Aachen University and Karlsruhe Institute of 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%25%50%75%mean 20.93%fractional works in this node (log) →share in the world top 10% →KU Leuven: 24, 10.4%RWTH Aachen University: 22, 8.8%Karlsruhe Institute of Technology: 18, 13.5%Leiden University: 15, 12.8%University of South Africa: 9, 40.1%Uppsala University: 8, 60.0%Humboldt-Universität zu Berlin: 13, 20.9%University of Illinois Urbana-Champaign: 19, 24.6%University of Oxford: 25, 11.2%Graz University of Technology: 11, 7.0%Karlsruhe Institute …Leiden UniversityKU LeuvenRWTH Aachen University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 KU LeuvenBelgium 62.110.4%6.5×24 +210.7%
2 RWTH Aachen UniversityGermany 58.28.8%7.2×22 +257.5%
3 Karlsruhe Institute of TechnologyGermany 56.413.5%8.0×18 +138.6%
4 Leiden UniversityNetherlands 52.712.8%10.6×15 +14.7%
5 University of South AfricaSouth Africa 52.140.1%5.1×9 +231.0%
6 Uppsala UniversitySweden 50.260.0%3.8×8 —
7 Humboldt-Universität zu BerlinGermany 50.020.9%8.6×13 +33.1%
8 University of Illinois Urbana-ChampaignUnited States 48.424.6%5.3×19 +47.2%
9 University of OxfordUnited Kingdom 46.911.2%4.6×25 +41.8%
10 Graz University of TechnologyAustria 46.07.0%13.0×11 —

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 Research Data Management Practices research growing?

Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2026. The fastest-growing topics are Research Data Management Practices.

19801990200020102020
grewheldshrank

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.