Curating & Managing Research Data

Effectively managing research data is no small feat, yet it is becoming an ever more important component in the research process. Last summer we wrote about the topics to watch in librarianship as reflected in the 2012 Medical Libraries Association conference, and data management was one of the star features.

Fortunately for us at the University of Michigan, we have one a preeminent organization on campus dedicated to data management and (the coolest part, I think) re-use: the Inter-University Consortium for Political and Social Research, or ICPSR. ICPSR is offering a summer workshop on data curation and management:

Location: ICPSR — Ann Arbor, MI

Date(s): July 29 – August 2, 2013

Time: 9:00 AM – 5:00 PM

Instructor(s) include:

From ICPSR’s course announcement:

This workshop is for individuals interested or actively engaged in the curation and management of research data, particularly data librarians, data archivists, and data stewards with responsibilities for data management. The course will assist individuals working with data to apply efficient curation practices to ensure the usability and safekeeping of data resources. Participants will learn about best practices for managing research data, how to apply them to daily operations, and the types of tools that can assist in curation efforts.

This five-day workshop will explore and apply the concepts and benefits of life cycle principles for data curation, from preparing data for archiving to optimizing data for reuse. An ICPSR social science dataset will serve as a case study and participants will track the dataset as it makes its way through the ICPSR data pipeline. Examples from other scientific domains will also be integrated. Participants will learn about data review and preparation, confidential data management, effective documentation practices, how to create, comply with, and evaluate required data management plans, and repository requirements and assessment. Emphasis will be placed on hands-on exercises demonstrating curation practices and on small group discussions for sharing local experiences and learning from others.

An earlier version of this course, titled ‘Applied Data Science: Managing Research Data for Re-Use’, was offered in 2012.

Fee: Members = $1500; Non-members = $3000

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