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Conference Presentations 2016

  • IASSIST 2016-Embracing the 'Data Revolution': Opportunities and challenges for research, Bergen
    Host Institution: NSD - Norwegian Centre for Research Data

Pecha Kucha (Thu, 2011-06-02)

  • Search Plugin - Embeddable GUI Search Tool
    Harsha Ummerpillai (ICPSR, University of Michigan)


    ICPSR advances and expands social and behavioral research, acting as a global leader in data stewardship and providing rich data resources and responsive educational opportunities for present and future generations.

    It hosts 16 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields. Our core partner websites are custom built and they provide unique user experience that suits the needs of partnering institutions and funding agencies. So as we are building new generation of digital asset management systems at ICPSR, we focus on building shared capabilities that are easy to maintain, but configurable to meet needs of varying websites and styling and themes.

    Plugin Features

    We are excited to demonstrate an embeddable search GUI component that is both reusable and configurable built on top of Apache Solr Index. It is designed and implemented using common browser technologies like HTML, JavaScript (Facebook ReactJS) and CSS with a shared search server component supporting the solr query syntax. This allows the websites to include search GUI and results pane with minimal coding, independent of specific web technology stack.

    A specific custom website can include this search component very easily with few lines of JavaScript code and linking JavaScript library and associated style sheets provided by the central search manager. Search also provides an auto-suggest feature, where successful search terms are automatically memorized with actual result counts. Allowing system to machine learn and suggest better and alternate search terms as the system matures with more usage.

    During this session we will demonstrate the capabilities with some samples and provide insights into technology behind the Search GUI Plugin.

Workshops (Tue, 2016-05-31)

  • Intro to Python for Data Wrangling
    Tim Dennis (University of California San Diego)


    Data professionals supporting researchers provide valuable services throughout the data management life cycle. According to recent surveys, up to 80% of a data scientist’s time can be spent cleaning, harmonizing and integrating data (a.k.a.: data wrangling). While there are many useful tools available to assist with these types of workflows, knowledge of basic programming can be extremely empowering.

    This full day workshop will provide an introduction to Python - one of the most popular and versatile languages in use today.

    No prior programming experience required! The workshop will be split into two parts: “Basic Python Programming” in the morning, and “Working with Data using Python” in the afternoon. Workshop materials are available at this site,

  • 10,000 Steps a Day! A Journey in Data and GIS Literacy Using Non-traditional Data Sources, for the New Data Professional
    Michelle Edwards (Cornell University)
    Quin Shirk-Luckett (University of Guelph)
    Teresa Lewitzky (University of Guelph)
  • Text Processing with Regular Expressions
    Harrison Dekker (University of California Berkely)
  • Using Stata for Data Work
    James Ng (University of Notre Dame)


    Stata is a leading statistical software package in the social sciences. Although not free, it has many of the hallmarks of open source software such as a user-contributed repository of add-on modules, an active community of users, and numerous third party-run online guides and tutorials. Stata arguably strikes perhaps the best balance between sophistication and usability among all statistical software packages.

    This hands-on workshop will introduce participants to some of the ways Stata is used in empirical research in the social sciences. Participants will work through a series of exercises using data in commonly encountered formats. Many of the exercises will involve reproducing tables and graphs from scratch. Topics to be covered include reading data, cleaning data, manipulating data, combining data, and using the help system. Attention will be paid to reproducibility of results, which means that participants will be writing scripts in a do-file. Detailed notes will be provided to each participant for reference.

    This workshop's target audience is social science librarians and other data service professionals. By the end of the workshop, participants should have gained enough familiarity with Stata to be able to start using it independently and to provide more in-depth help to their patrons who use Stata.

    This is not a workshop in statistical methods, hence no knowledge of statistics is assumed. No knowledge of programming is required.

  • Automating Archive Policy Enforcement Using Dataverse and iRODS
    Jonathan Crabtree (University of North Carolina, Chapel Hill)
    Helen Tibbo (University of North Carolina, Chapel Hill)
  • Digital Data Harmonization with QuickCharmStats Software
    Kristi Winters (GESIS, Leibniz Institute for the Social Sciences)
  • Creating GeoBlacklight Metadata: Leveraging Open Source Tools to Facilitate Metadata Genesis
    Andrew Battista (New York University)
    Stephen Balogh (New York University)


    This workshop is a hands-on experience in creating GeoBlacklight metadata, a simplified schema for discovering geospatial data. In developing the GeoBlacklight project, Stanford University implemented a custom element set that is closely related to Dublin Core and is a redaction of much longer and more granular geospatial metadata standards, most notably ISO 19139 and FGDC.

    GeoBlacklight metadata is required to make the application work, and there are several ways to create records efficiently. Using a re-configured installation of Omeka, we will demonstrate how to capture, export, and store GeoBlacklight metadata. This tool can be leveraged to assist researchers in the submission of GIS data and the creation of geospatial metadata, and it can be used by librarians to generate records at the batch level as they develop collections.

    In this workshop we will:

    •  Become familiar with the structure and function of GeoBlacklight metadata in order to create records effectively.
    •  Learn to translate essential information about GIS files into the GeoBlacklight metadata schema in order to present geospatial data for discovery.
    •  Develop strategies for creating GeoBlacklight records in bulk and adding them to OpenGeoMetadata (or another shared repository structure).

    Materials for this workshop are available at

  • Teaching Research Data Management Skills Using Resources and Scenarios Based on Real Data
    Veerle Van den Eynden (UK Data Archive)
    Jared Lyle (ICPSR)
    Lynette Hoelter (ICPSR)
    Brian Kleiner (FORS)


    The need for researchers to enhance their research data management skills is currently high, in line with expectations for sharing and reuse of research data. Data librarians and data services specialists increasingly provide data management training to researchers. It is widely known that effective learning of skills is best achieved through active learning by making processes visible, through directly experiencing methods and through critical reflection on practice. The organisers of this workshop each apply these methods when teaching good data practices to academic audiences, making use of exercises, case studies and scenarios developed from real datasets.
    We will showcase recent examples of how we have developed existing qualitative and quantitative datasets into rich teaching resources and fun scenarios to teach research data management practices to doctoral students and advanced researchers; how we use these resources in hands-on training workshops and what our experiences are of what works and does not work. Participants will then actively develop ideas and data management exercises and scenarios from existing data collections, which they can then use in teaching research data management skills to researchers.

  • Visualizing Data in R with ggplot2 and ggplot3
    Alicia Hofelich Mohr (University of Minnesota)
    Thomas Lindsay (University of Minnesota)
  • 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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