Transparency & Reproducibility

Open Science

SCENE fosters multi-disciplinarity and enhances scientific rigor through the early and frequent sharing of data, code, and protocols — both within and beyond the consortium.

Publications

SCENE is committed to making its research outputs freely accessible. Our foundational NeuroView paper, outlining SCENE's goals, hypotheses, and approaches, is published as an open-access article. Future publications from all teams will follow the same open-access principles.

Browse SCENE publications

Open Data

A dedicated team of data scientists develops cloud-based storage solutions for seamless data sharing within and beyond the consortium. Standardised frameworks ensure reproducibility across studies and laboratories, enabling the broader scientific community to build upon SCENE's datasets.

Open Code

SCENE builds on established open-source tools such as DeepLabCut for markerless pose estimation and develops shared pipelines for data processing, dimensionality reduction, and latent dynamics inference. A common API for POMDP development across ecological tasks will be openly available.

Visit the SCENE GitHub organisation

More tools, datasets, and publications will be shared as the collaboration progresses.