Data literacy - The key to a broad adaptation of Open Science and the FAIR principles

Autor: Förstner, Konrad
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.6943209
Popis: This are the slides of a keynote presentation as part of CarpentryCon 2022. Abstract: In all research domains the ongoing digital transformation is currently changing how science is conducted. Rapidly growing quantities of data as well as metadata are produced, processed, analyzed and archived. Besides this, further research results including software and models are published and shared. The broad recognition and adaptation of Open Science as well as the FAIR Principles (Findable, Accessible, Interoperable, Reusable) lead to more transparency, reproducibility and reuse of such items. On the other hand, this also generates new requirements regarding skills to handle these items adequately. This makes data literacy with all its diverse facets a key skill for basically every researcher and people supporting research activities like data steward. Since their beginning the three lesson programs of "The Carpentries" (Software Carpentry, Data Carpentry and Library Carpentry) have been working on developing training material, teaching methods, but most importantly on building a community for bringing these skill to the people. In this talk we will shed light on the ongoing implementation of Open Science and the FAIR principles in different disciplines and present opportunities as well as challenges. Furthermore, we will discuss how "The Carpentries" help different scientific communities to acquire needed data literacy skills to improve the quality of their research.
Databáze: OpenAIRE