São Paulo CODATA-RDA School of Research Data Science

The ever-accelerating volume and variety of data being generated is having a huge impact on a wide variety of research disciplines, from the sciences to the humanities. The international, collective ability to create, share and analyze vast quantities of data is having a profound, transformative effect. This ‘Data Revolution’ offers great opportunities for students with modern data skills, both in conducting their research and in entering a jobs market where those skills are in demand.

Contemporary research – particularly when addressing the most significant, transdisciplinary research challenges – cannot be done effectively without a range of skills relating to data. This includes the principles and practice of Open Science and research data management and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualization and modeling techniques, software development and annotation and more. We define ‘Research Data Science’ as the ensemble of these skills.

The School on Research Data Science will focus on growing competence in accessing, analyzing, visualizing, and publishing data. It is open to participants from all disciplines and/or backgrounds from the sciences to humanities. This activity will cover topics on principles and practice of Open Science, research data management and curation, use of a range of research compute infrastructures, large scale analysis, statistics, visualization and modeling techniques, automation and scripting.

There is no registration fee. 

Announcement

Click HERE for online application

Application deadline: April 20, 2022

The training provided by the CODATA-RDA School of Research Data Science is primarily targeted at Early Career Researchers (advanced masters students, doctoral candidates, post-docs and young or early career academics). The data skills taught are also useful for (data) librarians and other research support staff, such as those who envisage a career as data steward or data analysts. Furthermore, people who are more advanced in their careers who would like to improve their data skills as a form of continuing professional development are also eligible.

The curriculum of the CODATA-RDA School of Research Data Science is presented as ten themes. Participants will be allowed seven days (a week) to complete each theme. Generally, the participant would need to make provision for at least seven to eight hours to work through the content of the theme. The content also makes provision for practical exercises and at least one live question and answer session where facilitators will address concerns participants may have. Content will be provided as video lectures as well as presentation slides.

Link to a video with testimonials by some of the 2020 School participants.

Applicants are expected to have a baseline of data skills and these are tested by an online form. In addition, applicants should pay particular attention to their personal statement and communicate persuasively their reasons for wishing to attend the School: how do they intend to use these skills, how will it benefit their research or the institution in which they work? Finally, candidates should take pains to ensure that their application is well supported by references from their past or present tutors or line managers. This is particularly important so that the School directors have confidence in the candidate and that the skills learnt will have the maximum benefit and impact.

This school will happen simultaneously with the CODATA-RDA School of Research Data Science – South Africa. Most of the materials and live sessions will be joint sessions. Also, we will use the same infrastructure for content sharing and live Q&A.

WORKSHOP INFORMATION

The material covered by the programme is fundamental to all areas of research, and thus open to researchers and professionals from all disciplines that deal with significant amounts of research data. The goal is to provide a practical introduction to these topics with some theory and extensive hands-on training.

Timeline

• Registration Opens: April 8th.
• Registration Closes:  April 20th.
• Students Notification: April 29th.
• CODATA-RDA School of Research Data Science commences: 09 May 2022