Building on existing mechanisms, and thanks to the BiCIKL project, a new tool has been developed by PLAZI, a non-profit organisation that supports and promotes the development of persistent and openly accessible digital taxonomic literature. As a partner to BiCIKL, PLAZI has led the development of new tool that uses the process of semantic tagging and enrichment to extract data from Global Biodiversity Information Facility (GBIF) as the big global aggregator of biodiversity data, and link them to publications uploaded in Zenodo. The use of this trusted repository built and operated by CERN and OpenAIRE ensures that all scientific outcomes are easily and immediately available openly, since every upload is assigned a Digital Object Identifier (DOI), to make them citable and trackable.
The integration between PLAZI and GBIF involves making taxonomic names and associated information in PLAZI articles discoverable and linkable to the larger biodiversity dataset available on GBIF.
In this module of the course, we will guide you through the process of setting up through several stages:
1. Preparing data extraction- Understanding the linking process
- Getting to know the computer program used
- Using GGI for individual extraction
2. Performing data extraction- To guide for realizing an Individual extraction
- To place queries, produce statistics, and analyze Data reuse
- To benefit from the Matching Service
3. Improving the tool’s results- By using Quality Control checks
- And enhancing annotations