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Research Data MANTRA course

Research Data MANTRA course

Providing Social Science Data Services: Strategies for Design and Operation Instructor(s): Bobray Bordelon, Princeton University Jane Fry, Carleton University Ron Nakao, Stanford University This five-day workshop is being offered to individuals who manage or support local services for ICPSR and other research data for quantitative analysis. Those who should attend include anyone who is new to providing social science data services, who is seeking to revitalize an existing service, or who is looking to refresh and expand on previous knowledge. We believe that this workshop will also be useful to those outside the social sciences who are responsible for providing access to research data in other domains. An important component of this workshop will be the collaboration and networking opportunities offered to the participants. This workshop is organized around four data service areas: collections; users; access; and preservation. Note: This is not a course in statistical analysis and attendees are not expected to know how to use statistical software.

Curating and Managing Research Data for Re-Use Instructor(s): Louise Corti, UK Data Archive at University of Essex Jared Lyle, ICPSR Veerle Van den Eynden, UK Data Archive at University of Essex This five-day workshop is for individuals interested or actively engaged in the curation and management of research data, in view of data sharing and reuse, particularly data librarians, data archivists, data producers and stewards with responsibilities for data management. The course will assist individuals working with research data to apply efficient curation practices to ensure the usability, quality and safekeeping of data resources. This workshop will explore and apply the concepts and benefits of life cycle principles for data curation, from selecting and preparing data for archiving to optimizing and promoting data for reuse. Participants will leave with knowledge and experience of how to review, assess, manage, curate, and promote data collections for long-term preservation and access. Fee: Members = $1500; Non-members = $3000

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