Personal tools



CODATA–RDA School of Research Data Science, Sao Paulo: Applications Open

CODATA–RDA School of Research Data Science, Sao Paulo: Applications Open

Applications are now open for the CODATA–RDA School of Research Data Science, Sao Paulo, which will take place at ICTP South American Institute for Fundamental Research on 3–14 December 2018. Applications may be made via the below link (deadline: 30 September 2018)

Further information is given below and also available here.

The International School on Data Science will focus on growing competence in accessing, analyzing, visualising, and publishing data. It is open to participants from all disciplines and/or background from the sciences to humanities. The training provided is primarily targeted at Early Career Researchers. 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.

There is no registration fee. Limited funds are available to support accommodation, subsistence and travel support. For financial reasons, it is likely that priority will be given to travel support for students from the Latin American and Caribbean region, except in the case of particularly exceptional students.

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.