In the course, we will look at the intricate relationship between (digital) research data, metadata and knowledge, discuss why metadata is critical in today’s research, as well as explain some of the technologies and concepts related to structured machine-readable metadata. Precise and structured description of research data is key for scientific exchange and progress – and also for the recognition of your effort in data collection. The solution: make your data findable, accessible, interoperable and reusable by describing them with metadata.

You will learn:

• about the differences between and the importance of data and metadata
• to annotate your research data with structured metadata
• to find and evaluate a suitable metadata framework and data repository
• to use basic Markdown / JSON / XML
• which tools are already available to level up your metadata annotation game
• why structured metadata is important and how it can increase your scientific visibility

Morning Session, 8:15-12:15

• Data and Metadata
• Structured Metadata: From Markup to JSON

Afternoon Session, 13:15-17:15

• Enabling Technologies and Standards
• (Web) Location and Identifiers

Trainer: Dr. Silke Gerlich (Forschungszentrum Jülich, Helmholtz Metadata Collaboration)

Workshop language: English

Data stewards and other members of the university's RDM Network will be invited to this course by email. Other people who are interested in taking part in the course are asked to contact the coordinators of the Data Stewardship Program (researchdata@clutterunibas.ch).