GESIS Leibniz Institute for the Social Sciences: Go to homepage

Open Science Technologies & Practices

"Openness" – publicly sharing scientific knowledge and the processes behind it – is central for all science. But achieving such openness, especially when large datasets and complex computational workflows are involved, is challenging.

GESIS does research on how to address these challenges and provides infrastructure and services to support scientists in making their results "open". Beyond the archiving and provision of data and publications we offer easy to use technical solutions for documenting and sharing computational workflows for data-intensive research designs.

With these efforts in Open Science research and development we

  • advance FAIR data in all areas, including new types of data like digital behavioral data (DBD)
  • enable reproducibility of computer-based analyses in the social sciences (and beyond)
  • facilitate sharing of research publications, data, and code
  • provide altmetrics for measuring the public impact of science

GESIS’ commitment to open science technologies and practices is long-standing, research-based and reflects in our engagement in NFDI and the strategic institutional expansion on DBD.

Moreover, we support individual researchers through training materials on open science.

And we implement and practice open science ourselves: please visit us on GitHub, re-use our DBD datasets, and try out our analytical tools!

Name Department Team Email Telephone
Backes, Tobias
Knowledge Technologies for the Social Sciences
Information & Data Retrieval
+49 (0221) 47694-539
Bensmann, Felix
Knowledge Technologies for the Social Sciences
Information Extraction & Linking
+49 (0221) 47694-524
Boland, M.A. Katarina
Knowledge Technologies for the Social Sciences
Information Extraction & Linking
+49 (0221) 47694-513
Breuer, Dr. Johannes
Survey Data Curation
Survey Data Augmentation
+49 (0221) 47694-471
Hienert, Dr. Daniel
Knowledge Technologies for the Social Sciences
Information & Data Retrieval
+49 (0221) 47694-525
Hopt, Oliver
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-542
Hübbers, Dipl.-Ing. Gerrit
Knowledge Exchange and Outreach
Communications & Web
+49 (0221) 47694-231
Kern, Dr. Dagmar
+49 (0221) 47694-536
Klas, Dr. Claus-Peter
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-520
Krämer, Thomas
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-201
Lietz, Dr. Haiko
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-223
Mathiak, Dr. Brigitte
Knowledge Technologies for the Social Sciences
FAIR Data and Human Information Interaction
+49 (0221) 47694-510
Mayr, Dr. Philipp
Knowledge Technologies for the Social Sciences
Information & Data Retrieval
+49 (0221) 47694-533
Mutschke, Peter (M.A.)
Knowledge Technologies for the Social Sciences
FAIR Data and Human Information Interaction
+49 (0221) 47694-500
Nugraha, Sigit
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-528
Saldanha Bach, Dr. Janete
Knowledge Technologies for the Social Sciences
FAIR Data and Human Information Interaction
+49 (0221) 47694-483
Schoch, David
Computational Social Science
Transparent Social Analytics
+49 (0221) 47694-710
Tavakolpoursaleh, Narges
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-140
Weller, Dr. Katrin
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-472
Zagovora, Olga
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-216
  • Schoch, David. 2023. "graphlayouts: Layout algorithms for network visualizations in R." Journal of Open Source Software 8 (84): 5238. doi: https://doi.org/10.21105/joss.05238.
  • Soldner, Felix, Bennett Kleinberg, and Shane Johnson. 2022. Confounds and Overestimations in Fake Review Detection: Experimentally Controlling for Product-Ownership and Data-Origin. https://osf.io/29euc/?view_only=d382b6f03e1444ffa83da3ea04f1a04a.
  • Schoch, David. 2022. "netrankr: An R package for total, partial, and probabilistic rankings in networks." Journal of Open Source Software 7 (77): 4563. doi: https://doi.org/10.21105/joss.04563.
  • Saldanha Bach, Janete, Brigitte Mathiak, Valentina Hiseni, and Fidan Limani. 2022. Enhancing data findability: how scientists and repositories can improve their data visibility. GESIS – Leibniz Institute for the Social Sciences. doi: https://doi.org/10.5281/zenodo.6900267.
  • Limani, Fidan, Yousef Younes, Valentina Hiseni, Janete Saldanha Bach Estevao, Peter Mutschke, and Brigitte Mathiak. 2021. KonsortSWD Task Area 5 Measure 2 Report Scope: Milestones 1, 2, and 3. https://zenodo.org/record/5901207.