Please contribute links and short descriptions of potential projects via pull requests. Shameless self-plugs are fine and very much appreciated.
- Sustainability Reporting Navigator: Comprehensive data platform for corporate sustainability reporting data.
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Template Repository for Empirical Accounting Research: GitHub code repository establishing a containerized workflow for studies in accounting/finance using pre-structured (WRDS) data.
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Tidy Finance: An opinionated approach to empirical research in financial economics - a fully transparent, open-source code base in multiple programming languages.
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Bite-Sized Open Science: Work-in-process platform for short actionable videos that introduce researchers to open-science centered workflows.
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ProDok Course Quantitative Empirical Accounting Research and Open Science Methods: VHB ProDok Course in the Area of Accounting that features open science methods.
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Statistical Programming and Open Science Methods Course: Somewhat dated course with self-study elements.
Brodeur et al. (2026): Reproducibility and robustness of economics and political science research, Nature: Large and recent robustness assessment for studies published in economics and political science.
Ferguson et al. (2023): Survey of open science practices and attitudes in the social sciences, Nature Communications: Large-scale survey of researcher's attitudes towards open science methods (including economics but not business).
Fišar et al. (2023): Reproducibility in Management Science, Management Science: Results from a large-scale reproduction exercise across studies published in Management Science, documenting the impressive effect of the its implenentation of a data and code policy.
Gassen, Klug, and van Pelt (2026): How does the Accounting Research Community Think About Open Science? SSRN Working Paper: Study combining survey with experimental and observational evidence to assess the opinions of international accounting research community. Also features a replication package and a bare-bones survey dashboard.
Miske et al. (2026): Investigating the reproducibility of the social and behavioural sciences, Nature: Reproducibility assessment across 62 journals. Document that data and code availability is scarce but if both are available, about three thirds of studies are reproducible.