Contents
How can we improve data and code management in order to enhance reusability and thus trust in science? This workshop will provide practical guidance on how to organize, describe, archive and publish your data/code in order to comply with good scientific practice – illustrated with examples of the challenges and perils of real-life biodiversity datasets.
• The research data life cycle
• Open science and the FAIR principles for digital resources
• Producing a good data (DMP) or software (SMP) management plan
• Working with synthesis datasets
• Nominally vs genuinely reusable: writing rich metadata
• Formal (meta)data standards: Darwin Core and interoperable data
• Reproducibility & transparency: version control, repeatable workflows
• Internal storage and long-term preservation
• Sharing data & code: best practice in using public repositories
• Non-traditional research outputs: pre-registration, data papers & more
• Legal issues: licences, privacy, sensitive data and data ownership
• iDiv’s Data & Code Sharing Policy: your responsibilities
You are welcome to bring your own datasets to work on, and questions to share and resolve.
Lecturer
Dr Anahita Kazem
Anahita Kazem is iDiv’s Data Steward and a biodiversity informatics scientist.
Support will be provided by Dr. Ludmilla Figueiredo, iDiv’s Data & Code Curator, and guest lectures by Dr. Roel van Klink and Christian Krause.