Our ambition is to be as transparent about our scientific process and outputs as possible. We embrace the practices that are often placed under the umbrella of Open Science. For us, open science means supporting good research practices, improving reproducibility of research findings, making our outputs (e.g., articles, code) accessible for all, and aiming for FAIR (Findable, Accessible, Interoperable and Reusable) research data. On this page you can find some examples of how we put this in practice.
FAIR data and data sharing:
We are working hard at making our research data Findable, Accessible, Interoperable and Reusable (FAIR) with help from our data manager. Some of our research data cannot be shared because of privacy considerations, but we are sharing data whenever possible. For example, we aim to upload all of our processed MRI data to NeuroVault and to share all materials and (anonymized) data belonging to a publication. If you are interested in data from one of our projects or articles, please don’t hesitate to contact us.
Van der Cruijsen et al., (2019).
Van de Groep et al., (2020).
Achterberg et al. (2020). Longitudinal changes in DLPFC activation during childhood are related to decreased aggression following social rejection, https://hdl.handle.net/10411/BE2X5L, DataverseNL, V1.
Klapwijk et al. (2019). Qoala-T: A supervised-learning tool for quality control of FreeSurfer, https://hdl.handle.net/10411/GXXAG3, DataverseNL, V1.
Van de Groep, S. et al. (2019). Giving to friends, classmates, and strangers in adolescence, https://hdl.handle.net/10411/M7YIBE, DataverseNL, V1
Van der Cruijsen et al. (2019). Alexithymic traits can explain the association between puberty and symptoms of depression and anxiety in adolescent females, https://hdl.handle.net/10411/RNLIVC, DataverseNL, V1
Van de Groep, S. et al. (2019). Developmental Changes and Individual Differences in Trust and Reciprocity in Adolescence, https://hdl.handle.net/10411/9LHV2C, DataverseNL, V1
We aim for 100% open access to our written outputs (e.g., articles), either via the gold (journals) or the green route (self archiving at institutional repositories). We also publish non-peer reviewed preprints to increase the speed and impact of our research, and to allow for early feedback from the scientific community. You can find some examples below:
Aside from publication packages, which aim to increase reproducibility of results described in a manuscript, we have more initiatives related to reproducibility:
We feel that close collaboration, both with each other and others, is paramount for conducting high-quality research. In order to collaborate, we use multiple tools and communities:
The lab wiki contains information on, for example, how to do data certain types of data analysis, data management, open science, literature search, but also reaching out to society. It is maintained by the entire SYNC lab via Github.