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. 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. Fee: Members = $1500; Non-members = $3000 Tags: data librarian, data services,
Data Management Plans. GESIS phd-students Networking Day, Mannheim 05.03.2013 by Archive Training on Prezi. 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. 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 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. Oral History in the Digital Age ยป Oral History in the Digital Age.