One of the fundamental tasks in the MAGIC project is to set up a thoroughly elaborated collection of bio- and socio-economic case studies. This collection will underpin the deployment of a broad knowledge base that will eventually allow the relevant social actors ‒ involved in a policy-assessment and policy-making participatory process ‒ to address new case studies (a “case study” is the unit of work in the MAGIC project, as reflected in the data management).
Studies begin with a pre-analytical phase, were the case is framed or contextualized and the level of detail is roughly determined according to the information available, after which the quantitative analysis moves from the specification of a complex data structure which is elaborated and prepared for the input of extensive and intensive values that are to be obtained from external data sources.
The process for case-study elaboration will consist of two stages: i) under elaboration (internal ‒ only people related to case study elaboration will have access); and ii) public (available at Zenodo, possibly with an embargo period according to the chosen open-access-publication scheme).
Both external data sources and case studies – the data source elaborated inside the project – will be inventoried. Case study records will be annotated with metadata following the Dublin Core generic metadata standard (having four levels of interoperability, divided into 15 sections for data description) and ISO 19139 (the latest being an implementation of ISO 19115, concerning geographic information metadata), using a tool called GeoNetwork. This guarantees an easy and safe handling of geographic data.