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Conference Presentations 2013

  • IASSIST 2013-Data Innovation: Increasing Accessibility, Visibility, and Sustainability, Cologne, Germany
    Host Institution: GESIS – Leibniz Institute for the Social Sciences

A5: Panel: Beyond Bits and Bytes: the Organizational Dimension of Digital Preservation (Wed, 2013-05-29)
Moderator: Astrid Recker

  • Guidelines to Create a Preservation Policy: The NESTOR Working Group on Preservation Policy
    Yvonne Friese (Leibniz Information Centre for Economics)
  • Time to Change–Effects and Implications of Digital Preservation in an Organizational Context
    Michelle Lindlar (German National Library of Science and Technology)
  • De-mystifying OAIS Compliance: Benefits and Challenges of Mapping the OAIS Reference Model to the GESIS Data Archive
    Natascha Schumann (GESIS Data Archive)
    Astrid Recker (GESIS Data Archive)
  • Tried and Trusted: Experiences with Certification Processes at the GESIS Data Archive
    Natascha Schumann (GESIS Data Archive)
  • Digital Curation Training - the NESTOR Activities
    Stefan Strathmann (Göttingen State- and University Library)

B1: Data Visualization and Mixed Methods Analysis: Using Geographic Data (Wed, 2013-05-29)
Chair:Katharin Peter

  • Geocoding: Adding Another Dimension to Non-Spatial Data
    Peter Peller (University of Calgary)


    The big difference between non-spatial and spatial data is the absence of geographic coordinates; however, non-spatial data frequently does have some kind of geographic reference embedded in it such as an address, postal code, place name, etc. Geocoding is the process by which non-spatial data with this type of implicit geography is converted into geographic coordinates or linked to a geographic space. Geocoding enriches non-spatial data because it provides researchers with additional possibilities for visualization and analysis. This paper reviews the current methods being used to geocode both structured and unstructured data as well as some of the tools, including open source ones. It also documents the ways in which researchers are repurposing their original non-spatial data through geocoding. Finally, it discusses the importance of geocoding as a service offered by data centers and libraries.

  • Votes and Values and Pretty Maps: Applying Mixed Methods to Canadian Political Data
    Daniel Edelstein (University of Windsor)


    Barack Obama's 2012 re-election campaign relied heavily on applying social science findings and methods, drawing on large, linked data sets to target, persuade, and turn out voters. As the Canadian Election Study (CES) data sets include detailed data on respondents' geographic location, they are well suited for research that integrates statistical and GIS analysis. Using CES data, Canadian census data, election results, and geospatial data, we will demonstrate how multiple, diverse data sets can be combined and analyzed with a mix of statistical and GIS methods. The CES and other data, and the methods, should be of interest to political scientists, sociologists, and other social scientists. Our illustrated examples are also structured to guide others in using similar combined methods on different data, or in helping users take full advantage of comparably rich data for better research and more vivid presentation of results.

  • Building Out a Library Based Data Visualization Service
    Justin Joque (University of Michigan)


    This paper outlines the development of data visualization services as part of the data services provided by the University of Michigan Library. Over the past two years we have expanded our data visualization services to include consultations, workshops and course-based instruction. While a large proportion of our patrons are from the social sciences, we provide both numerical and geographic data support for the entire breadth of disciplines at our university. In addition to disciplinary diversity, library constituents include undergraduates, graduate students, faculty and the wider community. The myriad skills and perspectives our patrons bring to a data visualization problem often demand that we help them develop abstract ways of thinking about visualization and focus on their data and intentions, rather than fixating on a one-size-fits-all tool that does not exist. This presentation will focus on our current service model and a number of the key difficulties and solutions we arrived at in building an interdisciplinary data visualization service.


B2: Research Data Management Infrastructures: Facilitating Access and Preservation (Wed, 2013-05-29)
Chair:Stuart Macdonald

  • Using the New SDA to Make Data More Accessible
    Tom Piazza ( University of California-Berkeley)


    A major revision of the SDA online analysis system will be released this year (version 4.0). It includes new features both for data archives and for the end users of the data such as researchers and students. For data users, there will be an updated user interface with richer, more dynamic components and a more modern look. At the same time, this will simplify the interface for beginning users by hiding more advanced options until they're needed. Users will also be able to store computed and recoded variables in personal workspaces (with archive permission). For data archives, the new SDA will simplify the setup of an SDA data archive by replacing the current combination of CGI programs and Java servlets with a single servlet-based Java Web application. In addition, a new "sdamanager" application will provide a unified control panel for all SDA archive management functions: creating and configuring SDA datasets, managing search options, etc. From this control panel, archive managers will also be able to specify easily which users can access which datasets. Note that existing SDA datasets will not have to be modified. We will demonstrate these new features during the presentation.

  • Research Data Management with DATORIUM. Filling a Gap by Developing a Data Sharing Repository at GESIS-Leibniz Institute for the Social Sciences
    Monika Linne (GESIS - Leibniz Institute for the Social Sciences)


    One of the current projects for digital data preservation at the Data Archive of GESIS - Leibniz Institute for the Social Sciences is the data sharing repository DATORIUM. This repository will serve as a web-based software that enables researchers to manage, document, archive and publish their data and structured metadata autonomously. The data will be freely accessible for the scientific community, so that the culture of data sharing, which has been supported and promoted by the Data Archive over the past 50 years, will be pushed forward and facilitate the re-use of the archived data. The pursued aims of DATORIUM are to ensure long-term preservation of the data and metadata as well as wide-ranging dissemination possibilities for scientists in order to increase the visibility and availability of their research projects. By facilitating access to their research data scientists can support new research or secondary analysis and beyond that they profit from the rise of citations of their work and therefore improve their reputation. According to one of the core priorities of the Data Archive, which is to ensure high quality of the provided data and metadata, the uploaded material in DATORIUM will be reviewed by defined quality criteria.

  • 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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