Applied Data Science: Managing Research Data for Re-Use
This workshop is for individuals interested or actively engaged in the management and curation of research data, particularly data scientists, data managers and analysts, librarians, archivists, and data stewards and curators. What are the best practices for managing research data? How does one apply them to daily practice? What tools can assist in curation efforts?
This five-day workshop will explore and apply the concepts and benefits of life cycle principles for data management, including how to manage data from its inception through archiving and beyond and how to encourage and trace data re-use. An ICPSR dataset will serve as a case study and participants will track the dataset as it makes its way through the ICPSR data pipeline. Participants will also learn about confidential data management, repository requirements and assessment, effective documentation practices, and how to create, comply with, and evaluate required data management plans. In addition to lectures, panel discussions, and special-purpose Webinars, participants will engage in small group exercises, technical demonstrations, and in-depth case studies. The workshop will draw on a diverse set of instructors representing the deep data curation expertise at ICPSR, the world's largest social science data archive; the University of Michigan, including its School of Information; and other peer institutions.
Admission to the Applied Data Science workshop is based on applicants' interest in specific data science and curation topics and relevant experience. Enrollment is limited to 25 participants. Individuals interested in applying for the workshop need to complete a brief questionnaire.
Deadlines: All application materials must be submitted no later than April 30. Accepted participants will be notified by May 15.
Fee: Members = $750; Non-members = $750
For more information, see http://www.icpsr.umich.edu/icpsrweb/sumprog/courses/0149