Gather/Create & Analyse
This is the phase where the bulk of data collection and analysis occurs. Implementing secure data collection and storage, properly organising and documenting data and software, and ensuring that analysis processes are reproducible is vital to safeguard research integrity.
FAIRsharing.org
A curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies.
Research Data and Software Documentation
Chapter of RDM 101 course for PhD candidates on Research Data and Software Documentation.
Research Data Organisation
Chapter of RDM 101 course for PhD candidates on Data Organisation.
Gitlab TU Delft
TU Delft GitLab is an ICT service hosted on campus intended for researchers. It is an online Git repository management tool with a wiki, issue tracker, Continuous Integration and Continuous Deployment built-in.
Self-learning / training materials on ‘Improving Coding Practices Training’
In this repository, you will find training material about tools and workflows that can help you improve code management practices and facilitate the re-use code.
Self-learning tutorial on Git
In this repository, you will find training material on how to install and do version control with Git.
Electronic Laboratory Notebooks (ELNs) at TU Delft
Get familiar and access the Electronic Laboratory Notebooks (ELNs) provided by TU Delft to help you with the documentation of research data.
CESSDA expert guide – Processing of data used in social sciences
The CESSDA data management expert guide chapter on Data Processing focus on operations needed to prepare data files used in social sciences for analysis sharing.
Data Organisation in Spreadsheets
The Turing Way recommendations and best practices on how to organise data in spreadsheets.
Developing research software
Learn which best practices you should implement since the beginning of your project when creating/developing research software.
