Part 1 of the course gives an introduction to data- and information management in marine sciences. The participants get an overview of what data- and information management implies, and an introduction to tools that can assist with this task. Also an overview on the global actors and networks to realise standardised transfer of different kinds of data.
Table of contents:
- General introduction: Definitions, Data sharing (To share or not to share), The prisoner’s dilemma, Data conservation, Metadata, Data and information pathway
- Data policies: Historical context, Principle of free and open access to data, Types of data policies, Elements of data policies, Methodologies in data policy setup
- Data – Information translation: Information communication techniques, Publications, Posters, Digital objects
- Biological data management: Definitions, Bio-informatics, Historical example: the Challenger expedition, Key elements of Biodiversity data (Species / Taxon data, Locations, Numbers / Observations, Environmental variables, Tools, People & Contexts)
- Biological Relational databases: Elements of a database, Making a database, Queries, Extended amount of exercises
Basic biology, geology, chemistry, physics basic computing skills
At the end of the course, the participant should have insight in the relevance of data- and information management and should be able to find and integrate information and data from several sources, and use this to generate reports, both for the benefit of policy makers and for other scientists. Students should also be able to work with relational databases, make digital objects, and make and analyze data policies.