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Conference Presentations 2006

  • IASSIST 2006-Data in a World of Networked Knowledge, Ann Arbor, Michigan, USA
    Host Institution: Inter-university Consortium for Political and Social Research (ICPSR), University of Michigan School of Information Science, and the University of Michigan Library

G2: New Standards in Statistics and Data Citations (Fri, 2006-05-26)
Chair:Diane Geraci, Harvard College Library

  • Basic Forms of Citation for Statistics and Data: Towards an Accepted Standard
    Gaetan Drolet (Statistics Canada)


    We present the basic forms of citation (formats and elements) developed for statistics, data, and maps products at Statistics Canada. From these models 80 examples have been created to become the citation standards of the organization. We also discuss the relationship between these standards and the ISO 690, 690-2 revision to include examples of statistics, data, and maps citation in the new ISO bibliographic standard, and the opportunities for IASSIST and the data community to be part of this process.

  • A Proposed Standard for the Scholarly Citation of Quantitative Data
    Micah Altman (Harvard University)
    Gary King (Harvard University)


    A critical component of the scholarly and library community is the common language of and the universal standards for scholarly citation, credit attribution, and the location and retrieval of articles and books. We present a proposal for a similar universal standard for citing quantitative data that retains the advantages of print citations, adds other components made possible by, and needed due to, the digital form and systematic nature of quantitative datasets, and is consistent with most existing subfield-specific approaches. Although the digital library field includes numerous creative ideas, we limit ourselves to only those elements that appear ready for easy practical use by scientists, journal editors, publishers, librarians, and archivists.

  • Tracking and Managing Citations: Data Centers and Best Practices
    W. Christopher Lenhardt (Center for International Earth Science Information Network (CIESIN))


    Documenting data quality and attribution, as well as facilitating appropriate use of digital data, is made more complex by the ethereal nature of the bits and bytes. Encouraging proper citation of digital data is one way to help to address these challenges. Work on technical issues such as citation standardization and knowledge capture is essential. However, there is much more that can be done to encourage progress in proper data citation. Data centers can play a primary role in developing and promoting best practices related to these areas. CIESIN has developed a number of procedures and resources related to citations of online data and information products. This paper will outline these practices and resources, as well as discussing their potential for wider applicability. These best practices connect the data provider, data center, and users and are a necessary complement for technical developments related to citation standardization.

  • Challenges and Opportunities in the Implementation of Citation Standards
    Jeri Schneider (ICPSR)


    The research community faces challenges and opportunities when implementing or changing citation standards. Here we discuss some of the necessary steps to implement new data citation standards. For example, what parties will be impacted by a new standard and how can we gain their support? We also discuss the opportunities these standards present for ultimately creating a data-aware "Web of Knowledge" allowing for the exploration and visualization of associations among data collections and publications.


G3: Supporting Data Users in a Networked World (Fri, 2006-05-26)
Chair:Tiffani Conner, University of Connecticut

  • From Primitive Numbers to Knowledge: How Technology Has Enhanced the Dissemination of Social Science Data
    Chiu-chuang (Lu) Chou (University of Wisconsin, Madison)


    Technology has changed the way that people seek information. We can access an unimaginable amount of information with our fingertips. Much social science data can be easily obtained on the Web. What are the processes and mechanisms behind those tabular social science data on the Web? What are the caveats associated with those well-packaged data? When users depend on search engines to find information, a data librarian needs to guide them to locate pertinent data in the information haystacks. Many data producers are using Web technology to disseminate their data. How are these changes affecting social science data libraries and their staffs? This paper examines the service shift in a social science data library over the last five years and presents its plan for the future.

  • Networking in the University Environment: Building Bridges From the Bottom Up
    Jennifer Darragh (The Pennsylvania State University Population Research Institute)
    Stephen Woods (The Pennsylvania State University Libraries)


    Bridges are rarely built in a day and often their foundations are hidden below the waterline where few are able to see. Building networks for data collections and services in a university community takes time and requires individuals who are willing to take it upon themselves to draft the schematics and collect the raw materials before bridges can be built between major organizations within the community. This paper focuses on the collaborative efforts of the University Libraries and the Population Research Institute at The Pennsylvania State University. We will discuss past and current initiatives that have been successful in laying the foundation for future initiatives including: resource authentication, collection building, and promotional activities. We will conclude with a discussion of ideas for future collaboration focusing on distributive reference services, team teaching and other potential partners. It is imperative that we present coherent and cohesive projects that are comprehensible to our organizations' administrators; therefore a considerable amount of thought and experimentation through informal collaboration is necessary beforehand. By developing a history of collaboration through doable and successful projects, visible bridges can be built between seemingly independent organizations within the university community.

  • Developing a Social Science and GIS Data Service in a Predominantly Undergraduate Library: Past, Present, and Future
    Suzette Giles (Ryerson University)


    At Ryerson University (in Toronto, Canada) social science data collection and service began in 1997. The data librarian was also the map librarian so geospatial /GIS data became her responsibility as well. Data (including geospatial data) services to faculty and students have developed: FROM the past (1997-2003) when they were Library centred; low profile, minimum resources for staff, equipment or computers; TO the present (2003-2006) where they are university centred with a Geospatial, Map and Data Centre, full time technician, server space and Web delivery of some data; TO the future (200?) - provincially centred, with the possibility of centrally archived and networked delivery of social science and geospatial data to Ontario universities. Techniques used at Ryerson to give data services sufficient profile to attract funding and future scenarios being considered by the Ontario universities Data and Map librarians' groups for province wide delivery will be examined.

  • Data Services Awareness and Use Survey: What We Learned About Promoting Data Services
    Eleanor Read (University of Tennessee)


    In fall 2003, the University of Tennessee Libraries conducted a survey to assess awareness of its data services among faculty and graduate students. The need for additional promotion of the service was clear from the responses and comments. This session will discuss how the results of the survey led to new promotion and outreach initiatives and what the outcome has been so far. It will also encourage feedback from the audience regarding successful promotion and outreach activities at other institutions.

  • 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


  • Resources


    A space for IASSIST members to share professional resources useful to them in their daily work. Also the IASSIST Jobs Repository for an archive of data-related position descriptions. more...

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