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This course covers strategies for designing and operating social science data services, emphasizing open data access, data sharing, and preservation. It includes lectures, discussions, exercises, and practical guidance for professionals.
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Providing Social Science Data Services Jim Jacobs Chuck Humphrey Jake Carlson Strategies for Design and Operation
The week in a nutshell • The syllabus • The daily schedule • 9:00 to 5:00, with possible time off for good behaviour • Exercises and computing labs • Light homework assignments in the evenings that introduce topics for the next day
The week in a nutshell • http://3stages.org/class/2012/ • http://bibsonomy.org/tag/icpsr2012
Who are you? Who are we? • Name, institutional affiliation, job title. • What is the status of data services at your institution? • What is your role? • Are you the ICPSR Official Representative or Designate OR?
Our teaching style • We try to accommodate a mix of learning styles: something to hear, see, and do. • We invite discussion: don’t hesitate to ask questions or share an experience. • We’re a tag-team and share instruction time. • We have a lot of material to go through and have packaged this information for you to take for future reference. • Our Powerpoint slides will be available at 3stages.org.
Our professional orientation • We teach from a service orientation, which underlies the ‘why-we-do’ and ‘what-we-do’ topics that we will be teaching • We are advocates of the open data access movement, which makes us strong supporters of data sharing and data preservation • We promote the development of a data culture to assist society in identifying and conducting informed public debates on major issues
Our professional orientation • Access to data is an extension of our other professional interests • Libraries, but not just libraries • open (accessible and accountable) government, • privacy in the information age, • technology and social responsibility, • preserving our digital research heritage through data preservation, • statistical and data literacy, • knowledge transfer, and • other stuff
Why do we teach this course? • We believe that we have an important message to share. • We enjoy meeting and working with professionals who have data services as part of their job responsibilities or who are merely interested in data. • We are excited by learning; and teaching this course has required us to be continuous learners. • We learn from the participants in this course.
Today’s Agenda • Introduction: Designing Data Services for People • Big Picture: Data in Today’s Research Data Realities • Social Science Data: Where It Fits Into The Data Ecosystem • Introduce Research Lifecycle And Data Service Functions • Group Discussion and Exercise