The CODATA-RDA Research Data Science Summer School and Research Data Science
Advanced Workshops will run for their third and second year respectively at the International Centre for Theoretical Physics, Trieste, Italy.
The CODATA-RDA Research Data Science Summer School will take place on 6-17 August 2018. Apply here!
The CODATA-RDA Research Data Science Advanced Workshops this year cover the following topics:
- Climate Data Sciences
- Extreme Sources of Data
- Internet of Things (IoT)/Big-Data Analytics
The Advanced Workshops will take place on 20-24 August 2018. Apply here!
About the CODATA-RDA Research Data Science Summer School, 6-17 August 2018
The CODATA-RDA Research Data Science Summer School provides training in the foundational skills of Research Data Science. 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, visualisation and modelling techniques, software development and annotation and more. We define ‘Research Data Science’ as the ensemble of these skills.
Find out more about the schools here where you will find links to information about past schools in 2016 and 2017 held in Trieste and São Paulo. Watch a video about the Schools of Research Data Science here
The School of Research Data Science has enjoyed a remarkable success and clearly responds to a burning need for data skills among Early Career Researchers and others involved in the research process, internationally. In 2018, building on our partnership with ICTP and the support of our sponsors and partners we will convene Data Schools in:
Brisbane, Australia, June.
Trieste, Italy, 6-17 August
Kigali, Rwanda, 22 Oct-2 Nov
São Paulo, Brazil, 3-14 Dec
About the CODATA-RDA Research Data Science Advanced Workshops, 20-24 August 2018
Four advanced and thematic workshops on Research Data Science will run in parallel.
- Workshop on Extreme sources of data: Introduction to CERN LHC and ATLAS Experiment. Hands-on sessions will include python coding and tutorials on using the ATLAS Open Data Platforms/Tools.
- Workshop on Bioinformatics: Advanced hands-on-tutorials on computational methods for the management and analysis of genomic and sequencing data.
- Workshop on IoT/Big Data Analytics: Topics will include Big Data tools and technology; real time event processing; low latency query; analyzing social media and customer sentiment. Hands-on sessions will include deploying and using Big-Data Analytic tools and platforms including Hadoop, Apache Kafka and HDF
- Workshop on Climate Data Science: Cloud computing platform/ tools for Climate Data Sciences including integration and visualization of on-line and local datasets. Hands- on sessions will focus on using on-line high performance platforms and tools for Climate Data Science.
Information for Applicants
There is no registration fee for these events. Some support for travel and accommodation is available and its allocation will be determined during the selection process. Much of this funding is intended for participants from lower and middle income countries. Potential participants have the opportunity to indicate they need support in the application. Self-funded participants are welcome. All applicants are strongly encouraged to look for alternative ‘third-party’ sources of funding to support their participation.
The CODATA-RDA Research Data Science Summer School is open to participants in any research discipline. 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.
Participants will be selected on merit from a very competitive field. Applicants are urged therefore to ensure they pay careful and full attention to the requirements of the application process.
Selected participants for the Research Data Science Summer School will have a baseline of data skills and these will have been tested by an online form. Applicants to the Advanced Workshops should demonstrate their capacity and skills to engage with these themes on a more advanced level.
Applicants to either event should pay particular attention to their personal statement and communicate persuasively their reasons for wishing to attend the Summer School and/or Advanced Workshops: how do they intend to use these skills and experiences, how will participation in the Summer School and/or Advanced Workshops 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 directors and organisers of these events have confidence in the candidate and that the skills learnt will have the maximum benefit and impact.