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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

B1: Institutional Repositories and Social Science Data: Supporting the Data Life Cycle (Wed, 2006-05-24)
Chair:Ann Green, Digital Life Cycle Research and Consulting

  • Highlights from the .Open Access Timeline
    Robin Rice (EDINA, University of Edinburgh)
  • Cultural Policy & the Arts National Data Archive (CPANDA): Model, Mission and Services
    Larry McGill (Princeton University)
  • Institutional Repository (IR) Models
    Ron Jantz (Rutgers University Libraries)
  • Deep Blue
    Jim Ottaviani (University of Michigan Library)

B2: Managing Metadata: Archival Processing (Wed, 2006-05-24)
Chair:Wendy Thomas, University of Minnesota

  • Efficient Ingest of Datasets in a Two-Stage Archival Process: The First Phase - Easy-Store
    Marion Wittenberg (DANS - Data Archiving and Networked Services, The Hague, The Netherlands)
    Rutger Kramer (DANS - Data Archiving and Networked Services, The Hague, The Netherlands)


    DANS - Data Archiving and Networked Services - is the organization responsible for storing and providing permanent access to research data from the humanities and social sciences in the Netherlands. As such, it is expected that DANS will have to ingest and manage a very large number of datasets. The traditional process of data archiving, i.e., having archivists enter extensive metadata for each incoming dataset, is likely to put a strain on personnel entering the metadata. DANS is setting up a two-stage archival process which will be able to cope with large amounts of submissions. In the first phase, nicknamed Easy-Store, datasets will be archived in a simple yet robust archival system. The second stage, called Deep-Store, will go into the details of a dataset and will only be executed for particular datasets. The paper will focus on the specifics of the Easy-Store system. We will give an overview of the concepts, the requirements, the architecture, temporary results, possibilities and future work on the system, and we'll have a first evaluation of the place the system takes in the two-stage archival process.

  • Metadata Management: The Forgotten World of the Back Office
    Anne Etheridge (Economic and Social Data Service (ESDS))


    An overlooked section of the digital data life cycle is that of metadata entry. Too often, records are populated by copying and pasting from one form to another; and frequently updating Web pages are given to non-Web editors to revise. Rational and efficient management and development of the 'back office', which feeds the information end users see, is often not a high organisational priority. This paper highlights the strategy ESDS has used to make cataloguing and Web page updates straightforward. There is an almost seamless transition from data deposit forms to catalogue records, lessening the possibility of errors. Databases are used for updating of events, online booking, news, and staff pages with information input through a simple interface appearing on Web pages instantly. All of these make repetitive tasks obsolete and leave time for staff to concentrate on more interesting matters.

  • Smart Qualitative Data: Methods and Community Tools for Data Mark-Up (SQUAD)
    Louise Corti (UK Data Archive)
    Libby Bishop (UK Data Archive)


    This paper will provide an overview of the SQUAD project. SQUAD is a demonstrator project funded under the ESRC Qualitative Data Archiving and Dissemination Scheme (QUADS). The project is exploring methodological and technical solutions for exposing digital qualitative data to make them fully shareable and exploitable. First, the project deals with specifying and testing non-proprietary means of storing and marking up data using universal (XML) standards and technologies, and proposes an XML community standard (schema) that will be applicable to most qualitative data. The second strand investigates optimal requirements for contextualising research data (e.g., interview setting or interviewer characteristics), aiming to develop standards for data documentation and ways of capturing this information. The third strand aims to use natural language processing technology to develop and implement user-friendly tools for semi-automating processes to prepare qualitative data (format and mark-up using TEI) for both digital archiving and linking with other kinds of Web-enabled data and information sources. We will demonstrate some early versions of graphic user interfaces to natural language processing tools, including the data anonymising tool.

  • Building Infrastructure and Alliances to Meet Common Goals: "The Creation of a Canadian Public Opinion Data Index"
    Laine Ruus (University of Toronto)
    Lois Timms-Ferrara (Roper Center for Public Opinion Research, University of Connecticut)


    The University of Connecticut's Canadian Studies, the Roper Center, and the University of Toronto's Robarts Library were awarded a small grant to develop a set of finding aids to unlock the Canadian opinion archives for the purpose of strengthening Canadian Studies Programs in both Canada and the United States. The Canadian Embassy funded the pilot project, the result of which is Canadian iPOLL (CPOLL). This paper discusses the decision-making and collaboration in creating this resource. The design of CPOLL is built upon experiences garnered from two other Roper Center databases: iPOLL (U.S. opinion data) and JPOLL (Japanese opinion data). Collaboration with Canadian data experts assured understanding of cultural nuances, political processes, and the nature of data collection in Canada. The paper addresses efforts to assure consistency in the development of metadata, including coding of topics of coverage, and the decisions involving the selection process, from time period for inclusion to assuring a broad set of sources. Finally, this paper explores the lessons learned from this endeavor and implications for further facilitating cross-national opinion research and creating multiple country databases in the future.


B3: Compare and Contrast: Using Cross-National Data (Wed, 2006-05-24)
Chair:Jane Weintrop, Columbia University

  • International Comparative Data: Advice to Neophytes
    Susan Hook Czarnocki (McGill University)


    This presentation is aimed at those who are starting up the learning curve on all the international socioeconomic data sources out there. Comparisons of coverage, ease of use, advantages and disadvantages will be presented for services such as WDI, IFS, EIU WorldDATA, UN Data bases, etc. A secondary focus will evaluate what else is worth exploring besides the big, well-known data providers just mentioned.

  • Evaluating the Quantity and Quality of Publicly Available Cross-National Crime Data
    Janet P. Stamatel (University at Albany)


    Recent world events have raised questions about the nature and distribution of violence and other types of crime across different countries and regions of the world. What data are publicly available to researchers and policymakers in order to better understand cross-national differences in crime rates? This paper describes the sources of cross-national crime and justice data and discusses several important issues regarding data access and utility, such as the format of the available data, geographic coverage, temporal coverage, and comparability of indicators. It examines how data availability and accessibility have changed with improvements in information technology and globalization and it assesses the impact of these changes on cross-national crime research. It ends with suggestions for improving access and usage of these data and gives examples of important research and policy questions that could be answered with better cross-national crime and justice data.

  • 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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