Data management for reproducible data-driven computational modeling cross-species and cross-labs

This project will provide expertise for access, description, and modelling of the data collected in the individual projects as well as Z02 and Z03. INF will continuously assess general workflows, resource requirements, and data analysis processes to capture between-project differences that may impact data comparability and re-usability across projects. INF will provide tools, services and training to help projects align their research output to (i) facilitate data analysis for extracting common activity patterns and mechanisms underlying motor behaviours across species, and (ii) promote data-driven computational modelling.

Part of #

• Key Mechanisms of Motor Control in Health and Disease

Objectives #

• Promote open science through shared data and collaboration (Long-term goal)
• Build tools for reproducible, shareable science (Long-term goal)

People #

Currently associated #

• Michał Szczepanik (Researcher)
• Michael Hanke (Principal investigator (PI))
• Simon Eickhoff (Expert)

Outputs #

• Teaching research data management with DataLad: a multi-year, multi-domain effort
• How to establish and maintain a multimodal animal research dataset using DataLad