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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)

  • Insights into data recovery projects: A case study from the Roper Center
    Cindy Teixeira (Roper Center for Public Opinion Research)


    Recently, the Roper Center staff embarked on one of the largest data and documentation recovery projects in its history. In 2014, our host institution announced it was decommissioning the local IBM mainframe system over the next year. The mainframe had been the main access point to our IBM 3480 and 3490E Tape Cartridge collection, our main storage solution from 1977-2001. With limited descriptive and technical metadata, the Roper Center recovered over 30,000 files including data, documentation, published materials and work process files. Based on this case study, this poster will identify the unique challenges and explore important factors to consider in planning a large scale data and documentation recovery project. We will discuss the various techniques and solutions used during file recovery process, and share our recommendations for any organization engaging in such a project.

  • DLF E-Research Network: Developing a sustainable community of practice for research data services
    Rita Van Duinen (Council on Library and Information Services / Digital Library Federation)


    To address the need for libraries to be engaged in developing e-research services the Council on Library and Information Resources (CLIR) and the Digital Library Federation (DLF) have developed the DLF E-Research Network; a peer-driven mentoring group focused on sharing information on implementing research data management services as well as on participant-directed learning and shared skill development. Launched in 2014, institutional teams from academic libraries in the US and Canada participated in the DLF E-Research Network, a program aimed at building a mutually supportive community engaged in continuous learning about e-research support. Through a series of in-person meetings, webinars, practical activities, and virtual discussions participating institutions were able to evaluate, refine and further implement research data services. The E-Research Network provides members working in research libraries and data centers the opportunity to develop data management strategies, policies, tools, and services. This poster will describe the DLF E-Research Network, its membership benefits and contributions to the field, as well as highlight participant’s objectives and outcomes. The poster will also demonstrate how the E-Research Network is designed to help build the capacity needed for professional development in research data services.

D1: Data professionals (Thu, 2015-06-04)
Chair:Karen Hogenboom

  • Data professionals' training challenges in dynamic work environments
    Adetoun Oyelude (University of Ibadan)


    The use of Information and Communications Technology (ICT) by various data professionals like data scientists, data curators, data librarians, data archivists and others has been the focus of researchers worldwide in the past few decades. Workspaces, workplaces and workflows are evolving daily and oftentimes struggling to cope with the emerging technologies. In their various functions in workplaces where career advancement is a sign of progress, it is required that data professionals be further trained, and with enhanced skill, move up the career ladder. Training of data professionals to meet the expectations of the work environment is a thus a challenge. The challenges faced by data professionals in the course of training themselves are the focus of this paper. Using extensive literature review, and survey methods of gathering data, ten data professionals working in different types of work environments were interviewed about the challenges they faced in training. The challenges they identified and described as well as solutions to the challenges proposed are discussed. Recommendations are made on ways in which future challenges can be surmounted especially in the face of the dynamic nature of the technology driven work environment.

  • The data librarian life cycle
    A. Michelle Edwards (Cornell University, Cornell Institute for Social and Economic Research)


    The journey of a data librarian or data specialist is certainly not a straight one, but one that can be very winding and extremely exciting and challenging all at once. If we follow the experiences of many data librarians, we can see a trend that closely mimics that of the data lifecycle. Whether you are the "accidental" data librarian or that individual where data is merely one of many hats, or the experienced data specialists, we see many common threads. We embrace the new challenge that data present (concept), we learn everything we can about that challenge (collection), we develop new skills (processing), often very unique skills, we develop dynamic services to conquer the challenge (distribution, discovery), we evaluate the service (analysis), and then we look forward to the next challenge (concept) that is already knocking down our doors. But, what happens when you change departments within your institution or you change institutions? Can we repurpose what we have learned and created? The goal of this paper is to present the approaches taken when a data librarian engages in the "repurposing" stage of the Data Librarian LifeCycle.

  • Comparing policies for open data from publicly accessible international sources
    Line Pouchard (Purdue University)
    Megan Sapp Nelson (Purdue University)
    Yung-Hsiang Lu (Purdue University)


    The Continuous Analysis of Many Cameras (CAM2) project is a research project at Purdue University for Big Data and visual analytics. CAM2 collects over 60,000 publicly accessible video feeds from many regions around the world. These data come from 10 national and international sources, including New York City, the city of Honk Kong, Colorado, New South Wales, Ontario, and the National Park Service. These video feeds were originally collected for improving the scalability of image processing algorithms and are now becoming of interest to ecologists, city planners, and environmentalists. With CAM2's ability to acquire millions of images or many hours of videos per day, collecting this large quantities of data raises questions about data management. The data sources all have heterogeneous policies for data use. Separate agreements had to be negotiated between each source and the data collector. In this paper, we propose to compare data use policies that are attached to the video streams and study their implications for open access. One restriction is that some sources limit the longevity of the data. As the value of this data becomes realized over the long term, issues of storage capacity and cost of stewardship arise.

D2: First products of the research data alliance (RDA): Foundations (Thu, 2015-06-04)
Chair:Mary Vardigan

  • Overview of Data Foundations and Terminology (DFT) WG/IG
    Gary Berg-Cross ()


    In an era of Big Data we still lack widely used best practices and a common model in key areas of data organization. Without common terminology used to communicate between data communities, some aspects of data management and sharing are inefficient and costly, especially when integrating cross-disciplinary data. To advance the data community discussion towards a consensus core model with basic, harmonizing principles, we developed basic terminology based on more than 20 data models presented by experts coming from different disciplines and about 120 interviews and interactions with different scientists and scientific departments. From this we crafted a number of simple definitions around digital repository data based on an agreed conceptualization of such terms as digital object, persistent ID, state information, and digital repository.

  • RDA Working group: Practical Policy
    Reagan Moore (Research Data Alliance)
    Rainer Stotzka (Research Data Alliance)
    Johannes Reetz (Research Data Alliance)


    Computer-actionable policies are used to enforce management, automate administrative tasks, validate assessment criteria, and automate scientific analyses. The benefits of using policies include minimization of the amount of labor needed to manage a collection, the ability to publish to the users the rules that are being used, and the ability to automate process management. Currently scientific communities use their own sets of policies, if any. A generic set of policies that can be revised and adapted by user communities and site managers who need to build up their own data collection in a trusted environment does not exist. Thus, the goals of the working group are to bring together practitioners in policymaking and policy implementation; to identify typical application scenarios for policies such as replication, preservation, etc.; to collect and to register practical policies; and to enable sharing, revising, adapting, and reuse of computer-actionable policies. This presentation will provide an overview of the working group and its activities, including a recent survey to elicit the types of policies currently being enforced as well as policy areas considered to be the most important.

  • Data Type Registries )DTR) Working Group
    Larry Lannom (Corporation for National Research Initiatives)
    Daan Broekder (Max Planck Institute for Psycholinguistics)
    Giridhar Manepalli (Corporation for National Research Initiatives)
    Allison Powell (Corporation for National Research Initiatives)


    A Data Type Registry provides a way to easily register detailed and structured descriptions of data that can range from simple single value elements up to complex multi-dimensional scientific datasets. The benefits of registration include enabling those who did not create a given instance of typed data to understand and potentially reuse it, to encourage others to use established data types in their own data collections and analysis efforts, and to build services and applications that could be applied to standardized data types. This presentation will focus on the need for and advantages of Data Type Registries and will provide a demonstration of the latest version of a registry prototype.

  • Metadata Standards Directory Working Group
    Alex Ball (Inter-university Consortium for Polical and Social Research (ICPSR))
    Jane Greenburg (Inter-university Consortium for Polical and Social Research (ICPSR))
    Keith Jeffery (Inter-university Consortium for Polical and Social Research (ICPSR))
    Rebecca Koskela (Inter-university Consortium for Polical and Social Research (ICPSR))


    The RDA Metadata Standards WG (MSWG) is comprised of individuals and organizations involved in the development, implementation, and use of metadata for scientific data. The continued proliferation and abundance of content driven metadata standards for scientific data present significant challenges for individuals seeking guidance in the selection of appropriate metadata standards and automatic processing capabilities for manipulating digital data. A collaborative, open directory of metadata standards applicable to scientific data can help address these challenges. A directory listing metadata standards applicable to research data will be of tremendous benefit to the global community facing data management challenges. Previous efforts provide evidence of this need, although these undertakings were not intended to be collective, sustainable directories. Discipline-specific metadata efforts have led to duplicative work because of the lack of communication across communities. The RDA Metadata Directory can begin to address these limitations. The RDA's global platform and cross-disciplinary reach, combined with the capacity to leverage social technology, can support the development of a community-driven and sustainable RDA Metadata Directory. This presentation will demonstrate the latest version of the MSWG prototype directory and discuss the use cases collected for the various ways this directory can be used.

  • First products of the Research Data Alliance (RDA): Foundations
    Mary Vardigan (Inter-university Consortium for Political and Social Research (ICPSR))


    An international group of collaborating data professionals launched the Research Data Alliance (RDA) in March 2013 with the vision of sharing data openly across technologies, disciplines, and countries to address the grand challenges of society. RDA is supported by the European Commission, the U.S. National Science Foundation, and the Australian government, and it meets in plenary twice a year. Members of the RDA voluntarily work together in Working Groups with concrete deliverables or in exploratory Interest Groups. Some of the foundational RDA Working Groups have completed the first phase of their projects and have produced results. This session is intended to highlight their activities and accomplishments. Data Foundation and Terminology Working Group -- Gary Berg-Cross Practical Policy Working Group -- Reagan Moore and Rainer Stotzka Data Type Registries Working Group -- Larry Lannom, Daan Broeder, and Giridhar Manepalli Metadata Standards Directory Working Group -- Rebecca Koskela, Jane Greenberg, Keith Jeffery, and Alex Ball

  • 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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