Description
The Data liberation and Publishing tools course aims to tackle both sides of the publication process: 1) the annotation, preservation and dissemination of data extracted from the literature by utilising the right pipelines and mechanisms; and 2) the publication of prospective scientific literature and data in advanced ways to support easier and efficient (re)sharing and (re)use of biodiversity data contained in an academic publication. The course intends to showcase modern ways to complete the cycle of biodiversity data usage, including how to harvest, access, publish, preserve and cite scientific data and literature. Both the "Data Liberation" and the "Publishing Tools" modules refer to two tools devised within the EU-funded project: Biodiversity Community Integrated Knowledge Library (BiCIKL), and featured in the Biodiversity Knowledge Hub (BKH).
Learning Objectives
:
- Understand the benefits and workflow of the data liberation process and biodiversity semantic standards;
- Develop practical skills for digitizing and standardizing taxonomic literature through workflows;
- Master the use of innovative publishing tools to publish data in machine-actionable formats that comply with FAIR principles;
- Recognize the importance and impact of Open Science on nature conservation and collaborative research.
Target Audience
The selected target groups include publishers, research groups, research infrastructure managers, research managers, researchers, and students.