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Conference Presentations 2015

  • IASSIST 2015-Bridging the data divide: Data in the international context, Minneapolis
    Host Institution: University of Minnesota

Posters (Wed, 2015-06-03)

  • National Archive of Data on Arts and Culture: A resource for researchers, policymakers, practitioners, and the general public
    Alison Stroud (ICPSR, University of Michigan)
    Amy Pienta (ICPSR, University of Michigan)


    The mission of the National Archive of Data on Arts and Culture is to share research data on arts and culture with researchers as well as those not experienced with statistical packages, such as policymakers, people working for arts and culture organizations, and the general public. Funded by the National Endowment for the Arts, the infrastructure of this data repository within ICPSR is also designed to be accessed through a computer or mobile device. This poster will help attendees to see how ICPSR has designed a repository to increase data access to the arts and culture field, a field not known to have or use research data. Methods to discover and learn about data available to download from NADAC and various techniques to explore the data online will be described. It will also highlight several user-friendly tools for analyzing and visualizing data for this wider spectrum of experienced and novice data users from the community.

  • Elevator: A tool for all media
    Colin McFadden (University of Minnesota)
    Rebecca Ross (University of Minnesota)


    In today’s digital world, the creation of media is increasingly easy. In a University environment, managing that content is getting increasingly complex. For researchers, materials may at first be shared with only a select few, but eventually, they will be more broadly available. Some content will need to be preserved for the long term, other items will have a very short shelf life. The media that is managed as close to the period of creation, with the proper description by the creators, has a much better chance of being useful over its life. There are many solutions being made available through the Libraries, IT and commercial entities, but rarely do these options offer customizable metadata templates, granular access controls, and superior searching options. Elevator is one such option. It offers a flexible framework that allows content to move from a privately managed collection into more curated collections that can be more widely searched. Based on open source tools, and backed by Amazon cloud storage, Elevator is a powerful, easy to use, digital asset management tool that works for most types of research and teaching materials.

  • A Stata course for undergraduates
    James Ng (University of Notre Dame)


    I teach a 1-credit hour undergraduate course on how to use Stata for empirical research in economics at the University of Notre Dame. I will share my experience teaching this course on these fronts: i) course logistics, ii) student outcomes, and iii) lessons learned: what worked well and what did not. My aim is twofold: to offer information that data librarians and instructors may find useful for their own data literacy initiatives, and to learn from the experiences of conference participants whose work involves promoting data literacy."

  • Co-circular RDM: A pilot service for graduate students at the University of Toronto
    Andrew Nicholson (University of Toronto)
    Leslie Barnes (University of Toronto)
    Dylanne Dearborn (University of Toronto)


    The University of Toronto Libraries (UTL) designed a co-curricular Research Data Management (RDM) workshop aimed at introducing graduate students to RDM principles and best practices. This poster will outline our method of developing the workshop and will detail the preliminary results gathered through student feedback. Findings presented will include the domains and divisions expressing interest in such a workshop and what RDM facets or areas of support have increased demand for RDM services at the University of Toronto. Envisioned as part of a larger initiative to supplement gaps in graduate professional skills training and resources, this workshop is an experiment in linking instruction and RDM service development in a large, distributed research university. Key areas covered include a research data overview and best practice pointers for collecting, describing, storing and sharing research data, with an emphasis on creating sound data management plans. Graduate students also learn about emerging research data policies in Canada, as well as RDM requirements implemented by other funding agencies and publishers. This workshop is being offered through the University of Toronto’s Graduate Professional Skills (GPS) program, which provides graduate students with training in areas such as teaching and advanced research for co-curricular credit on their transcript.

    Olof Olsson (Swedish National Data Service)
    Jannik Jensen (Swedish National Data Service)


    Transforming DDI-L into various formats via stylesheets. This technology is currently in use at the Danish Data Archive, the Swedish National Data Service and the DDI Alliance. The poster will bring updates from the DDI-XSLT platform including METS, DISCO and other formats. With the release of DDI Discovery Vocabulary (DISCO) the project will display its mapping from DDI-L to DISCO. In this context the project is reaching out towards a JSON mapping and invite participants to come and join an informal idea generation for scope and purpose of a future JSON mapping of DDI-L. For online content see: The stylesheets are released as LGPL software and are available for public and commercial use - download at:

  • Someday we'll find it, the data connection: Information literacy frameworks and data
    Kristin Partlo (Carleton College)
    Lynda Kellam (University of North Carolina at Greensboro)
    Hailey Mooney (Michigan State University)


    What implications does the Association for College & Research Libraries' (ACRL) new Framework for Information Literacy for Higher Education have on our approach to teaching about data? Building a strong data literacy instruction program involves bridging the language, standards, and goals of data science, statistical literacy, and information literacy. Practicing instruction librarians are likely to draw on concepts, skills, and competencies from across these areas. The holistic nature of the Framework situates students as both consumers and producers of information, which ties closely to data focused learning outcomes such as those based on competencies from the Data Information Literacy program. This poster will investigate this and other parallels and divergences between the Framework and learning outcomes in data and statistical literacy. Participants will be invited to share their views and reactions on how the Framework addresses the data information literacy needs they encounter in their work.

  • Visualizing social science research in an institutional repository
    Ted Polley (Indiana University-Purdue University)


    Using text mining and visualization techniques to identify the topical coverage of text corpora is increasingly common in a number of disciplines. When these approaches are applied to the titles and abstracts of articles published in an academic journal, it yields insight into the evolution of scholarly content in the journal. Similarly, text mining and visualization can reveal the topical coverage of items archived in an institutional repository. This poster will present initial results from mining the text and visualizing the abstracts of social science research in one university’s institutional repository. Generating a topic map visually demonstrates how research in a repository clusters around specific domains in the social sciences. These topic maps are potentially useful to librarians and researchers seeking to learn more about the topical coverage of items in their repository and determine if the research is reflective of the scholarly output from an institution more broadly.

  • How Canadians access Statistics Canada research data
    David Price (Statistics Canada)
    Donna Dosman (Statistics Canada)


    Statistics Canada has been providing access to Canadian research microdata for 18 years. This session will explore the principles through which Statistics Canada will allow access to information, governance of the access programs, the different types of research data that are available and technological solutions used to implement researcher access to microdata. Starting with the Data Liberation Initiative and how Public Use Microdata files are distributed and used in the research community. Then following up with a detailed look at how research data can be accessed through the Research Data Centers and the Real Time Remote Access system.

  • Archival GIS: Discovering gay LA through Bob Damron's address guide
    Andy Rutkowski (University of Southern California)


    This poster outlines the development of a mapping project focused on using archival material from the ONE Archives at the University of Southern California. The project began by taking one item - Bob Damron's address book with gay-friendly bars and other destinations - and mapping out those locations. These locations were used as a starting point to explore and map other archival holdings. As more locations were mapped from subsequent address books opportunities arose for spatial analysis. The poster also discusses the possibilities of using GIS as an approach for introducing students to archival collections. #mappingtheone .

  • Solr Cloud-working for the UK Data Service: problems experienced and a different way forward
    John Sexton (UK Data Archive, University of Essex)


    Solr Cloud working is supposed to provide a fault-tolerant, high availability system, providing a stable platform for blazing fast full-text and faceted searches. A Solr Cloud implementation would typically consist of (x) number of Solr servers (where indexed data is held), (x1) number of zoo-keepers servers (used to share data between Solr servers and maintain system state) and a load-balancer server (providing an evenly distributed load). The implementation of this type of system in the UK Data Service has proved to be anything but this, with indexes frequently getting out of synchronization and an extremely high maintenance overhead required just to keep the service stable and usable. A simpler, more maintainable system was required; simple replication. A single master server provides the source for the indexed data, with a number of slave servers automatically replicating this. Simple load-balancing across the slaves is achieved with the use of a light-weight in-house software component. Extensive testing has proved that there is no detrimental effect for the speed of retrieval for queries, the system is very stable and more reliable, the maintenance overhead very low and the flexibility for alternative configurations greatly improved.

  • 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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