FORCE2016 Workshops

Data science - studying the creation, use, and sharing of data in research - plays a role in many professional activities. Librarians, researchers, students, and publishers alike are looking to leverage new data science techniques and technologies in a wide variety of contexts.

To address the growing need for flexible and effective data science education in diverse settings, we have assembled a set of 32 Open Educational Resource (OER) data science modules. To help people realize the potential of big data, we aim to provide flexible training modules that cover the major topics in data science that include problem description, data set discovery, preparation and creation of data sets, implementation of analytic techniques, ethics, and effective communication. The OER modules include a diverse set of learning materials, including slide decks, video tutorials, interactive exercises, and recommended readings and resources.

This workshop will enable participants to chart their own course through the 32 modules and to effectively use the OERs for their own discipline and organization. Hands on development activities will engage participants through the identification of their audience, defining their learning objectives, mapping the OER curricula, and customizing the curricula for their specific use scenario.