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Conference Presentations 2012

  • IASSIST 2012-Data Science for a Connected World: Unlocking and Harnessing the Power of Information, Washington, DC
    Host Institution: National Opinion Research Center (NORC)

A1: Research Data Management: assessments and planning (Wed, 2012-06-06)

  • Data in Common(s): Collaborative Models for Robust Data Support
    Samantha Guss (New York University)
    Nicole Scholtz (University of Michigan)
    Jennifer Green (University of Michigan)
    Michelle Hudson (Yale Universitiy)


    This panel session will explore the issues relating to providing data services within a library research commons by examining three new facilities in academic libraries in the United States: The University of Michigan's Stephen S. Clark Library for Maps, Government Information, and Data Services; New York University's Data Service Studio; and Yale University's Center for Science and Social Science Information. Presentations will focus on aspects such as service models, interactions and relationships to other service providers in the commons, facilities, and levels of data support as they relate to the data lifecycle and needs of library patrons including data management, curation, re-use, and education. This comparison will provide insight into successes, challenges, and lessons learned and will be valuable to those planning and working to improve or implement their own research commons with data service components.


A2: Confidentiality, privacy and security (Wed, 2012-06-06)

  • Protecting the Privacy of Participants: Lessons Learned from the Workforce Issues in Library and Indormation Science 3
    Susan Rathbun-Grubb (University of South Carolina)
    Cheryl A. Thompson (University of North Carolina)
    Jennifer Craft Morgan (UNC Institute on Aging )
    Joanne Gard Marshall (University of North Carolina)
  • Can data owners and data users think alike? Designing incentives to shape the provision of access to data
    Richard Welpton (UK Data Archive)
    Felix Ritchie (UK Office for National Statistics)
  • The Researcher's View: Data Documentation in Quantitative, Qualitative and Mixed Methods Research
    Christian Meier zu Verl (Bielefeld University)
    Stefan Friedhoff (Bielefeld University )

A3: Data Sharing and Data Reuse (Wed, 2012-06-06)

  • Data's Different Missions in E-Science, E-Social Sciences and E-Humanities
    Minglu Wang (Rutgers University)
    John Cotton (Rutgers University)


    Data has been closely related to all the e-research fields, be it e-science, e-social sciences or e-humanities. There are increasing amount of descriptive studies on the current data needs of different discipline, there are also best practices of data management developed with the mindset of taking care of data during its whole life cycle. But among all these hot discussions of the opportunities and challenges that data is bringing to the world, there haven't been enough philosophical thoughts or reflections on data's advantages and limitations under the consideration of the different goals of science, social sciences, and humanities' inquiries. This paper will start from Jürgen Habermas' epistemology of knowledge and human interests; then examine different e-research fields and their data usage trends with new theoretical lens of their ultimate missions, that is how well they have helped human beings instrumentally control the world, ideally change the society, and easily understand each other across temporal and spatial dimensions. We could then also have a higher level of vision about what might be possible in the future that data could help each research fields to accomplish.

  • Data Sharing Across the Disciplines, Revisited: Academic Journals and Replication Policies. An Emperical Study
    Rob O'Reilly (Emory University)


    Academics in the social sciences have long argued for increased sharing of research data as a means of increasing transparency and methodological rigor (see, for instance, the symposium on “Data Collection and Collaboration” in PS: Political Science & Politics 43:1: One oft-proposed means for encouraging data sharing is for academic journals for academic journals to encourage or require authors to make data publicly available as part of the publication process. But to what extent have journals heeded the call for replication policies? This presentation will re-visit prior work, presented at IASSIST 2009, that compared journals in Economics, Political Science, and Sociology in terms of presence or absence of policies requiring authors to make data available for replication purposes. Using updated data on a larger sample of journals, we will examine both the extent to which journals are adopting replication policies and whether such adoption varies across disciplines.

  • Network Analysis of Data Reuse in the Social Sciences
    Kathleen Fear (University of Michigan)


    Studies of the citation networks of scientific papers show that science is slowly but surely becoming more interdisciplinary: publications increasingly incorporate ideas from disciplines outside of the primary authors', and authors from different disciplines more frequently collaborate and co-author papers. Few, if any, studies, however, have distinguished between interdisciplinary collaboration or knowledge sharing and interdisciplinary data reuse. Given the significant barriers to data sharing and reuse that can arise even within a given discipline, it is possible that patterns of interdisciplinary data reuse differ somewhat from those of other kinds of interdisciplinarity. This paper examines patterns of interdisciplinary data reuse in the social sciences through a network analysis of data citation information from ICPSR. The results will offer insight for data producers and data managers in curating data to foster interdisciplinary reuse.

  • The Influence of Scholarly Output on Scientific Dataset Communication
    Tiffany Chao (University of Illinois Champaign-Urbana)


    Research datasets possess enduring value beyond their originally designed purpose, especially as they typically will never be analyzed or utilized to their fullest potential within a given project time frame. The extent of dataset reuse as a mechanism to understand long-term usefulness within and beyond formal channels of scholarly communication, is an area where further investigation is needed particularly in relation to domain-based and subdiscipline differences. Based on the use metric categories and publication types presented by the Inter-university Consortium for Political and Social Research (ICPSR) for the dissemination of social science-themed datasets, this study presents a parallel analysis of the distribution of traditional and non-traditional publications affiliated with publicly available datasets in the atmospheric sciences. These affiliated publications are works identified by the dataset creator related to a dataset and includes a variety of items such as peer-reviewed journal articles, technical reports, and theses. Preliminary results reveal the potential audiences and communities that dataset contributors reach through selection of publication type and quantity. As the boundaries of scholarly communication are continually pushed by the visibility and intellectual power of scientific datasets, a clearer understanding of their lasting value and extensive influence takes shape.


A4: Panel: Toward Trusted Digital Repositories: Three Perspectives (Wed, 2012-06-06)

  • Data Seal of Approval
    Matthew Woollard (UK Data Archive)
    Herve L'Hours (UK Data Archive)


    This presentation will describe the Data Seal of Approval (DSA) initiative in the context of several options for repository audit and certification. The DSA is a lightweight means for repositories to demonstrate their trustworthiness through a process of self-assessment and peer review. Displaying the Data Seal of Approval enables a repository to communicate its compliance with archival best practices in a transparent and open way.

  • TRAC Self-Assessment at ICPSR
    Jared Lyle (Inter-university Consortium for Political and Social Research (ICPSR))
  • IASSIST Quarterly

    Publications Special issue: A pioneer data librarian
    Welcome to the special volume of the IASSIST Quarterly (IQ (37):1-4, 2013). This special issue started as exchange of ideas between Libbie Stephenson and Margaret Adams to collect


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