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Conference Presentations 2014

  • IASSIST 2014-Aligning Data and Research Infrastructure, Toronto
    Host Institution: University of Toronto, Ryerson University, and York University

Posters (Thu, 2014-06-05)
Chair:Samantha Guss

  • The UK Administrative Data Research Network
    Tanvi Desai (University of Essex)
    Melanie Wright (University of Essex)
    John Sanderson (University of Essex)

    [abstract]

    This poster presents an overview of the new Administrative Data Research Network being established in the UK. The Network aims to build a world-leading infrastructure for enabling research access to data which is routinely collected by UK and devolved government departments and agencies. The Network highlights the importance of linked administrative data answering key policy-related research questions, and aims to provide a streamlined and coherent pathway through the disparate and difficult requirements for research access to these kinds of resources - everything from data negotiation to ethical and governance review to data security requirements, secure data anlysis facilities and statistical disclosure control. The poster will highlight the network brand and upcoming website launch and present our continuing development plans.

    Presentation:
  • Working across boundaries: Public and private domains
    Flavio Bonifacio ()
    Metis Ricerche ()

    [abstract]

    This paper will illustrate some problems arising when building the necessary infrastructure for data preservation and data reuse across the public and private domains. We are now building, as a private initiative, a new Nesstar based archive in order to preserve data collection of public and private research centers. For this purpose the old separation between Academic and Normal world creates troubles and appears to be anachronistic and obsolete. Especially if we work in the context of the global data ecosystem.

  • A national agenda for digital stewardship
    Jonathan Crabtree (University of North Carolina, Chapel Hill, Odum Institute; United States of America, Library of Congress; NDSA)

    [abstract]

    The vast amount of research data generated across the globe demands a collaborative approach to digital curation and research data infrastructures. The social science community has enormous knowledge to share in this field. At the same time, we have dynamic needs that stretch our resources. A powerful approach is to exchange knowledge and practices with other data curation and preservation professionals in a joint effort improve our results. The National Agenda for Digital Stewardship, produced by the NDSA, annually integrates the perspective of dozens of experts and hundreds of institutions, convened through the Library of Congress, to identify the highest-impact opportunities to advance the state of the art; the state of practice; and the state of collaboration within the next 3-5 years. The poster highlights emerging technological trends, identifies gaps in digital stewardship capacity and provides funders and decision-makers with insight into the work needed to ensure that today’s valuable digital content remains accessible and comprehensible in the future, supporting a thriving economy, a robust democracy, and a rich cultural heritage. Founded in 2010, the National Digital Stewardship Alliance (NDSA) is a consortium of more than 160 organizations that are committed to the long-term preservation of digital information.

    Presentation:
  • CRADLE: Curating reserach assets and data using lifecycle education
    Thu-Mai Christian (University of North Carolina, Chapel Hill, Odum Institute)
    Helen Tibbo (University of North Carolina, Chapel Hill)
    Jonathan Crabtree (University of North Carolina, Chapel Hill)
    Michele Hayslett (University of North Carolina, Chapel Hill)
    Barrie Hayes (University of North Carolina, Chapel Hill)
    Paul Mihas (University of North Carolina, Chapel Hill)

    [abstract]

    The proposed poster will highlight the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project. An IMLS-funded project, CRADLE will produce high-quality massive open online courses (MOOCs) and face-to-face workshops focused on data management best practice for researchers and information professionals sought after to support those researchers. These products will be placed at the center of a greater initiative to establish networks of data management education and practice. For the CRADLE project to be sustainable, the MOOC and other materials will serve as a nexus point from which such networks will emerge. These networks are indispensable for aligning efforts to promote standards of practice and to shift the culture towards one that recognizes research data as valued assets critical to the research enterprise.

  • The American National Election Studies at 65: Looking back and moving forward
    Darrell Donakowski (American National Election Studies)
    Pat Luevano (American National Election Studies)
    Jaime Ventura (American National Election Studies)
    Laurie Pierson (American National Election Studies)

    [abstract]

    In 1948, under the direction of Angus Campbell and Robert Kahn, the Survey Research Center (SRC) at the University of Michigan, carried out what it viewed as a pilot study of the national electorate. 1948 provided the trial for the method and 1952 took that trial, embedded contending theoretical frameworks in the study and fine-tuned measurement. Those studies, 65 years ago, were the beginning of what is now known as the American National Election Study (ANES). This poster session will provide information on the history of the ANES, the advances in the understanding of politics due to the study, and the innovations that have come from the study. It will also present information on the difficulties that arise in conducting a longitudinal study of this nature and provide insight on how the ANES has worked to adapt to the constantly changing world of research in the social sciences.

  • Architecture of the European Remote Access Network (Eu-RAN)
    David Schiller (Institute for Employment Research (IAB))
    Anja Burghardt (Institute for Employment Research (IAB))

    [abstract]

    The European Data without Boundaries (DwB) project proposes a Remote Access Network (Eu-RAN) to bring together researchers and research projects with confidential microdata from different European sources. At the IASSIST in Washington, 2012, first ideas of the Eu-RAN concept were presented. In 2014 a more detailed description of the Eu-RAN architecture can be given. Separated running European Remote Access solutions could be improved by connecting them into a Network. A centralized Single Point of Access (SPA) will make it easier to reach several decentralized organized network points and ease the work of researchers running projects with data from different data owners within this Network. A central service hub within Eu-RAN will host different tools that support researchers and research projects. One of the attached services is a Microdata Computation Centre. Additional services are: a virtual research environments, user account and contract management, interfaces to research data access, text editors, statistical software packages, and tools for cooperation like forums, wikis or instant messaging. This poster shows the architecture of the Eu-RAN. This infrastructure will improve access to confidential microdata by mastering the trade-off between researchers needs and data security; in addition it will lead to legal and organizational harmonization.

    Presentation:
  • Designing multi-modal questionnaires in real time
    Samuel Spencer (Open Source Developer/Freelance Researcher)

    [abstract]

    A combined demonstration and poster session outlining the advantages of the Canard Question Module Editor & the Simple Questionnaire Building Language. The Canard Question Module Editor is a free, open source questionnaire design tool, that allows for the drag and drop creation of rich questionnaires. Using the domain-specific and minimal Simple Questionnaire Building Language [http://sqbl.org] as its target language, Canard is able to support the transformation to numerous formats using XSLT that allows for custom import and export transformations. The minimal language and adherence to the principles of Structured Questionnaire Design, mean that routing is predictable and could be transformed into any format, as well as supporting real-time updates to questionnaires during creation to provide designers with functional example questionnaires and routing diagrams as they edit content. Demonstrations will include: * Import/export functionality to supporting standards including DDI Codebook and Lifecycle, CS-Pro, HTML and PDF. * Design of multilingual content supporting any number of languages, and checking for gaps in translations. * Live previewing of surveys including complex routing and filtering. * Drag-and-drop creation of routing logic, word substitutions and derived data elements. * Automatic creation of questionnaire metadata, including the creation of flowcharts illustrating respondent routing.

  • DDI transformation via XSLT
    Olof Olsson (Swedish National Data Service)
    Jannik Jensen (Danish Data Archive (DDA))

    [abstract]

    In this poster the visitors are encouraged to bring their DDI-XML to test the community transformations in DDI-XSLT where you can leverage your metadata in other formats.

    Presentation:
  • openICPSR: Public access data sharing at ICPSR
    Linda Detterman (ICPSR)

    [abstract]

    There exists a growing desire, and growing requirements for scientific research data collected by federal funds to be shared publicly and without charge. Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. To be effectively shared, data must be described and documented, discoverable online, and accessible, both today and into the future. Data must be curated. Data curation requires data sharing entities are sustainable. Sustainability requires funding. In early 2014, ICPSR launched a fee-for-deposit service that provides free access to data and documentation to the public and is sustained by deposit fees. openICPSR is a research data-sharing service for the social and behavioral sciences. openICPSR data are: widely and immediately accessible at no cost to data users, safely stored by a trusted repository dedicated to long-term data stewardship, and protected against confidentiality and privacy concerns. This session will demonstrate the openICPSR system and discuss how researchers can take advantage of this new means of archiving data to comply with federal data sharing and preservation standards.

  • Are Canadian universities RDM-ready?
    Sylvie Lafortune (Carleton university)
    Cesar Villamizar (Carleton University)

    [abstract]

    As Canadian agencies prepare to enact a joint policy on the management of data collected through agency funds, universities must ensure they have the human and technical resources in place to support their researchers in meeting agency requirements for data deposit. This exploratory research attempts to describe the range of RDM services currently offered in selected Canadian universities. Beyond conducting a review of what is available, the purpose of this study is to provide more insight on the required building blocks, including the collaborative models, needed to create a sustainable research data management service. The poster presents the methodology, study framework and results.

  • 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

    more...

  • Resources

    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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