Understanding critical data literacy beyond data skills | Zenodo

Atenas, Javiera, Havemann, Leo, Khun, Caroline, & Timmermann, Cristian. (2021, August 3). Understanding critical data literacy beyond data skills. Zenodo. https://doi.org/10.5281/zenodo.5155667

Data literacy is normally understood as a set of abilities to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. 

However, data literacy can be also understood a mean to participate in the (datafied) society, thus the skills needed to work with data go beyond technicalities and have a strong social component, ergo, need to be grounded on the overarching principles of data ethics.

We suggest librarians and researchers get familiarised with a set of data skills that may help them work with data at management and research level, while being aware of the potential impact of data on individuals and the society, thus, handling data within an ethical and critical framework.

G6 statement on open science | CNRS

The statement emphasises six priorities to support the transition to Open Science and foster excellence in research: accelerating Open Access as the default mode of academic publishing; making research data “as open as possible and as closed as necessary” in line with the FAIR principles; extending the principles of Open Science to research software; developing new procedures and criteria to assess research aligned with and supporting the development of Open Science; facilitating the necessary skill building process; lastly, maintaining appropriate infrastructures and services, across Europe if not globally, to keep up with current and future requirements resulting from the transition to Open Science. By jointly addressing these priorities, G6 institutions intend to actively contribute to this transition and to the concerted effort it requires to transform the practices of sharing knowledge between scientific communities.