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Conference Presentations 2011

  • IASSIST 2011-Data Science Professionals: A Global Community of Sharing, Vancouver, BC
    Host Institution: Simon Fraser University and the University of British Columbia

Pecha Kucha (Thu, 2011-06-02)

  • More with Less: Collaborative Trends in Research Data Management
    Martin Donnelly (University of Edinburgh)


    A range of factors contributes to the recent growth in collaborative activities across the data management landscape. This Pecha Kucha presentation outlines the drivers behind new collaborations in research data management, in the UK and beyond, the ways in which these new collaborations currently manifest themselves, viz. - The 'crowdsourcing' of feedback on the Digital Curation Centre's (DCC's) comprehensive Data Management Planning (DMP) checklist; - Collaboration between the DCC and UKDA on generic data management guidance for researchers, support staff and bid reviewers; - Joint training programmes pitched at various levels; - The development of subject-specific guidance within JISC's Managing Research Data (MRD) programme, and repurposing of existing DCC materials; - International cooperation between the DCC and US colleagues in mapping the generic DMP Checklist to the various National Science Foundation directorates' data-related requirements. The presentation concludes with an overview of future initiatives, including an open registry of data management plans, intended to prevent reinvention of the wheel and to offer exemplar best practices (without reducing the exercise to a boilerplate/tickbox level), online tutorials, the development of componentised, interoperable data management tools, and the repositioning of data management as a shared service, hosted and offered via the cloud.

  • Fight for your right!: Marketing data and data resources to non-data users
    Lynda Kellam (UNCG)


    As data professionals, our work often requires explaining and justifying our positions and our data resources. Whether we are data librarians in large research institutions with well-established services or social science librarians at small institutions with few data users, we all must fight for resources that may seem overly expensive and esoteric to non-data users. In this pecha kucha I will highlight efforts at various libraries to make data services and resources accessible (and appealing) to non-data users. These efforts are not limited to the use of creative marketing techniques; they also include approaches to teaching and virtual reference that introduce users to data resources without overwhelming them. At the most basic level, the way that we communicate and explain our services on our websites impact how our users will interact with us and our resources. In a world of 20% budget reductions data professionals must fight for the right to data while developing relationships with partners throughout our user communities that will lead to better understanding of, and as a result, higher use of data resources.

  • Collaborating Across Formats: the Cultivation of a New Department
    Katherine McNeill (Massachusetts Institute of Technology)


    What do social science numeric data, e-science, bioinformatics, GIS data, maps, music, images, and video have in common? What issues cross formats and disciplines? How do these areas lend themselves to being coordinated? In the MIT Libraries, these domains now are managed under the newly-formed department of Specialized Content and Services, a product of a recent reorganization. The presenter will discuss the process of bringing together these formats; work done to coordinate services, metadata, and content; and lessons learned about how to leverage commonalities among these areas while still attending to particular needs in each domain.


E1: Enriching Metadata: Controlled Vocabularies and Ontologies (Thu, 2011-06-02)
Chair:San Cannon, Federal Reserve Board

  • Representation of the Data Documentation Initiative using Semantic Web Technologies
    Thomas Bosch (GESIS - Leibniz Institute for the Social Sciences)


    The Data Documentation Initiative (DDI) is an effort to create an international standard for describing data from the social and behavioral sciences. In order to establish DDI as a de facto metadata standard in this field DDI should reach a broader audience. The target group could be expanded if DDI structures are used in the increasingly popular Linked Open Data network. The approach is to publish data and metadata in form of a standard based exchange format like the widely accepted and applied Resource Description Framework (RDF), a Semantic Web technology specified by the W3C. Use cases will be exemplified in which specific problems can’t be resolved without or could be solved in a better way using the RDF representation of data and metadata specified in DDI 3. In order to describe data and metadata specified in DDI 3 in form of RDF an ontology has to be built based on the conceptual model of DDI 3. This ontology should encompass the most relevant DDI 3 components. The outline of this approach will be described. Possible applications using the RDF representation of data and metadata will be discussed to show solutions for the issues associated with the identified use cases.

  • Controlled Vocabularies - A New Product of the DDI Alliance
    Sandra Ionescu (ICPSR)


    The DDI Alliance is publishing controlled vocabularies for a number of descriptive elements that are frequently used in data documentation. These vocabularies are issued as a separate product from the DDI schemas. They are declared in Genericode - an XML standard for defining code lists and an OASIS committee specification - and they are suitable to use in conjunction with DDI 3 and DDI 2 elements, as well as any matching elements in other data documentation standards. Multiple language translations are also supported. Our presentation will review the first set of published vocabularies, demonstrate how they can be accessed and used, and will offer a preview of those lists on which work is still in progress. We will also discuss the Controlled Vocabularies Working Group's approach to building these code lists, some of the challenges we faced, as well as plans to manage and develop the vocabularies moving forward.

  • Structuring Unstructured Data Using Controlled Vocabularies
    Johann Schaible (GESIS - Leibniz Institute for the Social Sciences)


    The Data Documentation Initiative (DDI) is a metadata specification expressed in XML for describing data from e.g. social sciences. DDI metadata allows collecting, processing, analyzing, discovering, distributing and archiving data. The current version is DDI 3, which includes controlled vocabularies, so data sets are categorized, which leads to structured data sets and hence additional information. In practice in DDI 3 there is still a lot of unstructured data stored in uncategorized plain text fields, especially when converted from DDI 2. This means the document contains less information than it should, but to categorize those plain text fields manually would be too inefficient and error-prone. In this paper, we present a solution for categorizing the free texts automatically. This solution is based on the Recommind Mindserver, which uses sophisticated text mining algorithms to categorize the text based on a training sample. This way, the manual task of categorization can be automated, enriching documents in which this metadata is missing.


E2: Data without boundaries (Thu, 2011-06-02)
Chair:Roxane Silberman, Réseau Quetelet and the French National Data Committee for Humanities and Social Sciences

  • The Research-Data-Centre in Research-Data-Centre Approach: A First Step Towards Decentralised International Data Sharing
    Srefan Bender (German Federal Employment Agency (BA), Institute for Employment Research (IAB))
    Jörg Heining (German Federal Employment Agency (BA), Institute for Employment Research (IAB))


    This presentation will give an overview of the transnational remote access parts and presents first experiences of establishing a German research data center in the US (at ISR). DwB will have a great impact on the data access landscape in Europe.

  • Discovering Official Statistics’ (Meta)Data
    Markus Quandt (GESIS)


    Markus Quandt (GESIS) emphasizes how the project will work towards making metadata available for discovery on the CESSDA portal.

  • Data without Boundaries
    Roxane Silberman (Réseau Quetelet CNRS)


    Roxane Silberman, Reseau Quetelet and DwB coordinator, provides an overview of the project that gathers 27 partners: CESSDA Archives, NSIs and Universities.

  • Data without Boundaries
    Markus Zwick (German Federal Statistical Office)


    Markus Zwick (German Federal Statistical Office) outlines the motivation why NSIs are joining DwB and presents related Eurostat projects.

  • 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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