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Open Science at LiU
Find out how LiU encourages and supports Open and Reproducible Research Practices
- Open Science Policy - read about the policy surrounding open data, data management plans and open access publications
- CoARA Action Plan - read about LiU’s efforts towards open, transparent and fair reform of the merit systems of achievements and competences of academic personnel
- Library support - how the library personnel can support you in implementing open science practices, such as sharing data and preparing your data management plans
- PhD Course on open science - what open science training is currently available
- Book a consultation for your project or a seminar for your research group with Marta Topor, the Open Science Coach at marta.topor@liu.se
Articles on Open and Reproducible Science by LiU staff
(note that only the names of the authors from LiU are listed)
2026
- Overcoming barriers to computational reproducibility Lucija Batinović et al.
- Trustworthiness and transparency features were less frequent in randomized trials presenting large effects for continuous outcomes in abstracts Lina Koppel et al.
2025
- Öppen vetenskap borde gälla respons på ansökningar också Anders Eklund, Ankica Babic, Ida Blystad, Jörg Schilcher, Sarah McIntyre, Jose M. Peña, Oleg Sysoev, Mika Gustafsson, Krzysztof Bartoszek, Hans Knutsson, Per Ask, Magnus Herberthson, Håkan Örman et al.
- Do LiU researchers publish data – and where? Dataset analysis using ODDPub Kaori Hoshi Larsson
- Tackling the reproducibility gap in perovskite research: a vision for FAIR data and standardised protocols Jesper Jacobsson et al.
- Metadata/README elements for synthetic structured data made with GenAI: Recommendations to data repositories to encourage transparent, reproducible, and responsible data sharing Ericka Johnson, Victor Hennetier, Saghi Hajisharif et al.
2024
- A Beginner’s Guide to Open and Reproducible Systematic Reviews in Psychology Lucija Batinović, Marta Topor et al.
Methodology-specific resources
Metascience Resources - here you will find detailed information about how to read and interpret a meta-analysis and how to do one yourself
Discipline-specific resources
Neuroscience Resources - here you will find information about different neuroscience methods supported by HOSS and other national infrastructures we collaborate with. You will also find method specific information about relevant open and reproducible science practices.
Statistics and programming
R Studio - resources for programming beginners.
Resources by project stage
Open science practices can be implemented at all stages of the research process. Below, we aim to collect guidance for integrating open science practices within your typical research workflow at any chosen stage.
Transparent practices at this stage include preregistration and registered reports.