Sponsors: University of Arkansas
Keywords: Data skills
Practical Data and Software Skills for Reproducible Research Workshops
2 - 4 October 2019
Roma, ItalyPractical Data and Software Skills for Reproducible Research Workshops https://cyverse-cyverse-data-and-software-management-workshop.readthedocs-hosted.com/en/latest/ https://tess.elixir-europe.org/events/practical-data-and-software-skills-for-reproducible-research-workshops Two one-day introductory workshops on the skills and technologies you need for publishable and reproducible data-driven science. People can register for one or both workshops. Practical Data Skills Workshop: 2-3 October, 2019 Practical Software Skills Workshop: 3-4 October, 2019 Working with “Big data” is challenging for most researchers and the barriers to publication can be difficult. These workshops introduce free open-source approaches that reduce these challenges and help you deliver research that is more impactful, open, and reproducible. Training will focus on solutions developed by publicly funded cyberinfrastructure developed in the US (CyVerse) and Europe (CyVerse UK, ELIXIR, EOSC, and others). Lessons learned will prepare you with skills you can apply no matter which computing platforms you use. 2019-10-02 14:30:00 UTC 2019-10-04 14:30:00 UTC University of Arkansas in collaboration with Cold Spring Harbor Laboratory, the National Research Council of Italy, Earlham Institute, Center for Research and Technology Hellas (CERTH), the Netherlands eScience Center and the University of Arizona University of Arkansas Rome Center: Palazzo Taverna, Via di Monte Giordano, 36 - 00186 Rome Italy., Roma, Italy University of Arkansas Rome Center: Palazzo Taverna, Via di Monte Giordano, 36 - 00186 Rome Italy. Roma Città Metropolitana di Roma Italy 00186 University of Arkansas Jason Williams (Cold Spring Harbor Laboratory, NY) Email: Williams@cshl.edu University of Arkansas Investigators and researchers working in all areas of the life sciences. workshops_and_courses first_come_first_served Open scienceReproducible ResearchData skillsSoftware skills
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