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Conference Presentations 2015

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

A4: Training data users 1 (Wed, 2015-06-03)
Chair:Lynda Kellam

  • The Carrot: Outcomes from a Campus-Wide Grant Program for Creating Data-Driven Assignments
    Katharin Peter (University of Southern California Libraries)


    Efforts to embrace big data, data analytics, and data visualization methods often overlook the widespread need to develop foundational data literacy competencies.  This presentation will share the results of one university's efforts to promote data literacy through a competitive, campus-wide grant program for faculty implementing data-driven assignments in undergraduate courses.  As part of the grant program, 12 faculty from a variety of disciplines received support from instructional designers and data librarians to develop and implement data-driven assignments in support of their course learning outcomes.  This presentation will discuss the outcomes of the grant program as well as opportunities and strategies for promoting and supporting the creation of data-driven assignments.

  • Sustainability of Social Science Data Archives: A Historical Network Perspective
    Kristin R. Eschenfelder (University of Wisconsin-Madison)
    Kalpana Shankar (University College Dublin)
    Greg Downey (University of Wisconsin-Madison)
    Rebecca Lin (University of Wisconsin-Madison)


    This paper will summarize preliminary results from a study to analyze the history of sustainability in social science data archives (SSDA). The purpose of the study is to draw out what sustainability challenges SSDA have faced and what strategies they have employed to remain sustainable and relevant given massive changes in technologies, users, data types, revenue sources and data markets.  The paper will summarize historical analysis of documentation from the 1960s to the early 2000s from ICPSR, the UK Data Archive, the Roper Center for Public Opinion Research.  The paper will also include a historical network analysis of interaction among SSDA as represented in full run of IASSIST Quarterly articles from 1960 to the early 2000s. The project's broader goal is to understand how the history of SSDAs can contribute to current conversations on the long term sustainability of other knowledge infrastructures.  To this end, the project seeks to address the successes and failures that SSDA experienced in trying to remain relevant and funded, and the longitudinal changes in relationships among SSDA as they have collaborated and competed to support research in the social sciences.

A5: RDM services (Wed, 2015-06-03)
Chair:Laurence Horton

  • The Stakeholder Analysis for The Research Data Management Services for the Public Policy Researchers
    Jungwon Yang (University of Michigan)


    Since the National Science Foundation now requires a data management plan for proposed grant applications after January 18, 2011, many academic libraries have started to develop research data management service. One of the emerging issues related to the new service is the role of liaison librarian. Articles have noted that to enhance scholarly productivity, liaison librarians need to participate in the entire life-cycle of the research. Liaison librarians also need to be the team builder among library experts for an effective data management service. Yet, it is not clear how a liaison librarian can identify faculty's needs and who need to be the library team for a faculty's research data management, since the researchers' knowledge of data management varies across their personal experience as well as academic discipline. Moreover, the topic and scope of research will highly affect the decision of which library experts will be needed for the research's data management. Given these circumstances, the stakeholder analyses for the faculty will be useful for determining the scope and degree of library service. I will report  how the stakeholder analysis  help me to customized data management service for the Public Policy faculty at the University of Michigan.

  • Developing Research Data Services Vision(s): An Analysis of North American Academic Libraries
    Inna Kouper (Indiana University)
    Mayu Ishida (University of Manitoba)
    Kathleen Fear (University of Rochester)
    Sarah Williams (University of Illinois at Urbana Champaign)
    Christine Kollen (University of Arizona)


    Many libraries are implementing or getting ready to implement research data services (RDS) (see, for example, Oftentimes, these initiatives are reactive, responding to pressures originating outside the library, such as national or funder mandates for data management planning and data sharing. To provide effective support for researchers, libraries must be proactive and develop a shared vision of what they are trying to accomplish. Can such a vision supersede institutional differences while still accommodating diversity in implementation?  In this presentation we discuss a set of vision statements grounded in an analysis of the drivers of RDS vision as well as libraries' current goals and activities in RDS. We developed these statements based on our examination of documents that advance the need for RDS, such as the funding agencies' requirements, the US Office of Science and Technology Policy memo, and the Canadian Tri-Agency's proposal of a data management plan mandate; a content analysis of North American academic library webpages; and interviews with library deans and other administrators. Finally, we describe how our five institutions are responding to this vision and how our implementations of the vision vary depending on the disciplinary  and institutional context.

  • A Coordinated, Decentralized Approach to Data Management Services: From Education to Everyday
    Jon Jeffryes (University of Minnesota)
    Alice Motes (University of Minnesota)
    Amy Neeser (University of Minnesota)
    Amy West (University of Minnesota)


    We will describe the strategies, methods, and outcomes of the University of Minnesota Libraries’ coordinated, decentralized approach to providing data management education to library staff and users. This presentation outlines the educational challenges in navigating organizational structures, disciplinary commonalities/differences, staff training, and researcher training in a large research institution.

                Staff are increasingly engaging in data management activities across the libraries system, including collaborative workgroups focused on data management, liaisons’ work with data producers, and library staff’s own research data needs. We will discuss how to coordinate these diffused activities without stifling flexibility or creativity and how to incorporate these practices into routine work. One challenge facing libraries has been disciplinary differences regarding data management and sharing practices. We will discuss what strategies and methods can address the commonalities and disciplinary differences of researchers’ needs.

                Finally, we will discuss our approach to staff and researcher training as our data management services have grown and developed. We use scenario-based exercises, webinars, and user-facing workshops to incorporate this into everyday library work to better serve the research community. Through staff education, we are building capacity to train our researchers through workshops, data management consultations, and comprehensive data management plans.


B1: Impact of data citation (Wed, 2015-06-03)
Chair:Amy West

  • Transparency from Scratch: Encouraging Openness and Enhancing Publications in Qualitative Political Science
    Colin Elman (Syracuse University)
    Diana Kapiszewski (Georgetown University)


    The American political science community is engaged in a rigorous and wide-ranging conversation about research transparency, involving communities from across the epistemic spectrum. Broad consensus exists on the need for openness and for the project's general principles to be instantiated in research tradition-specific practices that preserve methodological diversity. Nonetheless, transparency is a novel project for most qualitative political scientists, requiring the development of new practices and strategies. This essay highlights the epistemic, intellectual, and sociological challenges of augmenting transparency in qualitative research -- and some of the pragmatic and operational difficulties of doing so. A central challenge is representing digital documents in on-line publications. We highlight an innovative transparency technique, active citation (Moravcsik 2010), which involves hyper linking citations to central or controversial text in a publication to an accompanying "transparency appendix" (TRAX). A TRAX comprises an overview of the trajectory of the research project underlying the publication, an excerpt from the cited source, an annotation identifying the micro-connection between the cited source and the textual claim, and ideally a link to/copy of the source itself. We conclude by discussing the implications for international scholars of more data being made available, and research being made more transparent, in this novel fashion.

  • Making Data Citation Connections
    Anne Etheridge (UK Data Archive)
    Melanie Wright (UK Data Archive)


    The UK Data Service is exploring ways of citing data from study level to subsets of data to paragraphs of text.  We produce citations for each of our data catalogue records in Discover. Each citation includes a persistent identifier, created via DataCite, to give a unique access code for the data. We are working on downloading the citations in multiple formats and adapting the tools we have for our qualitative citations to make theses citations easier to find and use.  We have been working with the Research Data Alliance Data Citation Working Group to find the best ways to cite subsets of data and apply them to our Nesstar records and international macrodata.  We have tools to dynamically create a citation from paragraphs in qualitative text. Users select a passage and we then mint a unique identifier on the fly that can be used to cite, precisely, that piece of text. Others reading subsequent research can then go straight to that particular paragraph to read the text in context.  Our tools allow the citation to be simply copied and pasted into any reference list.

  • Bridging Disciplines: Assessing the Interdisciplinary Impact of Open Data
    Robert R. Downs (Columbia University)
    Robert S. Chen (Columbia University)


    Freely disseminating scientific data can contribute to multiple disciplines across the physical, social, health, and engineering sciences. If the impact of data centers is not measured, stakeholders will not know whether data centers, archives, and libraries, and the data that they disseminate, are having a positive impact on the conduct of science. Data citations provide evidence on the use of data in various stages of the research process, including problem definition, statistical analysis, modeling, and validation. Measuring the interdisciplinary citation of scientific data disseminated by a data center can reveal the degree to which the data center is supporting cross-disciplinary research. Analysis of a decade of data citations demonstrates the interdisciplinary use of scientific data and the impact that one data center has had across disciplinary boundaries.


B2: Web archiving, audio visual and image collections (Wed, 2015-06-03)
Chair:Kristi Thompson

  • Streaming Access to Oral History Data
    Marion Wittenberg (Data Archiving and Networked Services (DANS))


    DANS, the research data archive in the Netherlands, has a growing collection of audiovisual data. This includes the witnesses' stories of the Second World War Heritage Program, the Oral History Project Indonesia, and interviews with Dutch Veterans. The collection, with almost 2000 interviews, is accessed by various users. For privacy reasons not all datasets are open access. In my presentation I will introduce the way in which we treat the audio and video data, the difference between high-resolution archival storage and streaming access, restricted access control for privacy sensitive data and future plans for subtitle search.

  • Freedom on the Move: Discovering the Plight of Runaway Slaves in the United States
    Ed Baptist (Cornell University)
    Jeremy Williams (Cornell University)
    Bill Block (Cornell University)


    Slavery is one of the most traumatic and defining aspects of United States history. Despite this fact, there is a paucity of machine actionable data about the individuals who were bought and sold as slaves in the United States. Substantial information does exist, however, in the form of advertisements, placed by enslavers, in antebellum newspapers. These advertisements included any detail that might help readers identify the fugitive: the name, height, build, appearance, clothing, literacy level, language, accent and so on of the runaway, but are not in formats that are amenable to analysis. Led by Cornell University, Freedom on the Move (FOTM) is a comprehensive and highly collaborative effort to transcribe and parse an estimated 100,000 advertisements using OCR and crowd-sourcing to create a new academic data resource. The data is stored in a relational database which is described and published using DDI-DISCO and W3C-PROV ontologies. This paper will introduce the project, provide an overview of the system architecture, and describe how FOTM hopes to use semantic metadata to facilitate discovery by researchers, data citation, and interoperability with other datasets.

  • 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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