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Conference Presentations 2017

  • IASSIST 2017-IASSIST 2017 – Data in the Middle: The common language of research, Lawrence
    Host Institution: University of Kansas

Posters (Wed, 2017-05-24)
Chair:Mandy Swygart-Hobaugh

  • Store It in a Cool Dry Place - Processing and Long-term Preservation of Research Data
    Tuomas J. Alaterä (Finnish Social Science Data Archive)


    One crucial component of making research data accessible and reusable is preserving it properly. We know that the recipe is heavy on metadata. But there are other ingredients too, and even the ripest data need to be carefully prepared for preservation. Furthermore, without the right tools and a cool, dry place for storage, the mission is in jeopardy from the beginning.

    This poster highlights the recent progress of the Finnish Social Science Data Archive. We run an institutional data repository, but have in a systematic way been preparing our collection for sustainable long-term preservation by taking advantage of an emerging national long-term preservation solution.

    There are four major, partly parallel, areas for development:1) Choosing sustainable file formats, migrating existing content, and updating data processing policies and software accordingly.2) Producing software for harvesting rich metadata and wrapping it with the data and contextual files into a METS container for transfer.3) Influencing to the adoption of national standards and services.4) Training the staff and administrative tasks

    Better data management, increased trustworthiness and automated processes should allow us to allocate more human resources to other critical software development and data services. Our effort focuses on traditional social science data; data matrices, code and textual materials. However, the principles accepted can be adopted by other disciplines as well, given that the formats are the same. The work has been carried out in collaboration with the National Digital Library Initiative.

  • Switching from Field Work Using ODK Powered Electronic Data Collection to Data Documentation in DDI: A Junior Data Documentation Officer’s Initial Impressions of DDI Codebook, Malawi Epidemiology Interventions and Research Unit (MEIRU)
    Themba masangulusko Chirwa (Malawi Epidemiology Interventions and Research Unit (MEIRU)/ KPS)
    Chifundo Kanjala (Malawi Epidemiology Interventions and Research Unit (MEIRU)/ KPS)
    Dominic Nzundah (Malawi Epidemiology Interventions and Research Unit (MEIRU)/ KPS)


    In this paper, I give my perspective of how our organisation started using metadata standards to support data management and data sharing. MEIRU runs a health research programme encompassing a rural site in northern Malawi and an urban site in the capital city of Malawi Lilongwe.  It has a rich collection of longitudinal data dating to as early as 1979. Work is now underway to convert the vast unstructured documentation into DDI codebook format for data sharing with researchers outside the project. I relate my education background and prior work experience to my current work as a metadata officer. I identify parallels and differences between my current and former jobs and highlight areas where training and closer supervision are required to strengthen my capacity. I finally attempt to identify opportunities for capturing metadata during the field work phase to reduce confusion down the line when the data are being prepared for sharing. The perspectives shared here could be of use to researchers working on projects similar to MEIRU and also to DDI developers who will see how we are implementing the specification in our settings. I am holding a Malawi School Certificate of Education (MSCE), Certificate Computing and Information Systems (CIS)

  • Using Backward Design to Create Research Data Management Professional Development for Information Professionals
    Abigail Goben (University of Illinois-Chicago)
    Megan Sapp Nelson (Purdue University)


    This poster details the design process that was used to develop the Association of College and Research Libraries “Building Your Research Data Management Toolkit: Integrating RDM into Your Liaison Work” road show.  Starting with the development of learning objectives, and highlighting the multiple assessments that are offered prior to the road show experience, during the road show itself, and follows up the road show at the one month and six month post- show mark. The poster then shows the links between the learning objectives, assessments, and learning activities developed to assist learners to meet the learning objectives.

  • Using Data to Make Sense of Data: The Case of Video Records of Practice in Education
    Allison Tyler (University of Michigan)


    Researchers and teacher educators use video records of practice documenting classroom activity to study and improve upon teaching across grade levels and subject areas.  Their usage of video records of practice is often accompanied by the use of supplemental data, such as school/classroom demographics, seating charts, lesson plans, and interviews, to achieve research or teaching aims.  Educational researchers use these data as case studies, to test research questions and framework, and to develop research protocols.  Teacher educators use the data as teaching exemplars, to allow pre-service teachers to practice and evaluate teaching methods, and reflect upon pedagogy.  This poster will evaluate patterns in the use of supplemental data usage by researchers, teacher educators, and those who use video records of practice for research and teaching depending on the purpose of that data reuse.  The results of this analysis will provide a baseline for how and what supplemental data will meet the research and/or teaching needs of schools of education. The findings also have implications for repositories’ data collection strategies and how best to make video records of practice available to these designated communities.

  • Curation, Collaboration, and Coding—The Secret Sauce for Scholarship Support
    Megan Potterbusch (Association of Research Libraries)
    Cynthia Hudson-Vitale (Washington University in St. Louis Libraries)


    This half-day workshop is an overview and hands-on introduction to the Open Science Framework and the SHARE data set, two tools that form a powerful combination for supporting scholarship and research locally as well as improving scientific integrity and allowing for new forms of meta-research.
    Developed by the Center for Open Science, the Open Science Framework (OSF; is a free, open source tool that works within the research workflow to allow for better management, curation, streamlining, and sharing of scholarly outputs. SHARE builds its free, open, data set ( by gathering, cleaning, linking, and enhancing metadata that describe research activities and outputs—from data management plans and grant proposals to research data and code, to preprints, presentations, and journal articles. 
    In this workshop, participants will learn to use the OSF to develop embedded data stewardship and research management services for faculty. Attendees will also learn how to leverage and enhance SHARE data to improve their institutions’ understanding of the whole scholarship ecosystem happening on their campuses.
    This workshop will be divided into two parts. First, attendees will learn strategies to provide curation and research services to the faculty workflow by operating in the OSF. Practical approaches to faculty collaborations and curation assistance throughout the research life cycle will be discussed. The second part will focus on harnessing the power of the SHARE data set to discover and act upon the research outputs of an institution or organization. This hands-on portion of the workshop will use IPython/Jupyter Notebooks to access the SHARE API and search across 129+ different providers and export and clean the metadata. 
    Participants are encouraged to bring laptops in order to follow along. No previous programming experience is necessary.

  • 5 Minute Metadata: Informative Videos to Meet the Metadata Novice in the Middle
    Lauren Eickhorst (Aristotle Metadata Registry)
    Samuel Spencer (Aristotle Metadata Registry)


    When searching online for information regarding metadata, like what it is and why it’s useful, it is hard for people new to the concept of metadata to find accurate information. Metadata related videos results are often heavily technical or business-oriented in nature, such as narrated PowerPoint slides or heavy with text. Occasionally videos have factual errors confusing descriptive and structural metadata concepts or present too much information too quickly for people to understand well.
    The “5 Minute Metadata” videos are a new take on how to introduce metadata to people in a non-confronting way, whether they are a seasoned data expert or are completely new to the concept. These videos are a way to improve metadata literacy by meeting people half way, because they might have heard about metadata but are be unsure of what it is, like the differences between descriptive and structural metadata. These videos introduce metadata in a fun and light-hearted way and help convey information about metadata and expand communication surrounding it.

  • Archive of Data on Disability to Enable Policy and Research: Creating a Common Resource for Disability and Rehabilitation Stakeholders
    Jai Holt (ICPSR)
    Alison Stroud (ICPSR)


    The Archive of Data on Disability to Enable Policy and research is a new ICPSR initiative to build a central repository of quantitative and qualitative data about disability that has been dispersed across disciplines. The mission of ADDEP is to improve and enable further research on disability for researchers, policymakers, and practitioners by acquiring, enhancing, preserving, and sharing data. This poster will display ADDEP’s newly launched website and available resources. Also described in the poster are ways to discover data available to download from ADDEP and how the data can be used to better understand and inform the implementation of major disability-related policies such as the Americans with Disabilities Act. Details about how user-friendly data exploration tools and other resources on the ADDEP website will help to break down barriers to research within the cross-disciplinary disability and rehabilitation research community will be highlighted.

  • The Curating for Reproducibility (CURE) Consortium
    Thu-Mai Christian (Odum Institute, University of North Carolina at Chapel Hill)
    Florio Arguillas (Cornell Institute for Social and Economic Research, Cornell University)
    Sophia Lafferty-Hess (Odum Institute, University of North Carolina at Chapel Hill)
    Limor Peer (Institution for Social and Policy Studies, Yale University)


    In July 2016, the Institution for Social and Policy Studies (ISPS) at Yale University, the Cornell Institute for Social and Economic Research (CISER), and the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill formed the Curating for Reproducibility (CURE) Consortium. These academic institutions all maintain data archives that have been involved in implementing workflows that put into practice data quality review , a framework that includes research data curation and code review. This framework helps to ensure that research data are well documented and usable and that code executes properly and reproduces analytic results. The proposed poster will outline the goals of the consortium as well as provide examples of how these institutions have integrated data quality review into workflows, tools, and protocols.

  • The State of Data Curation in ARL Libraries
    Cynthia Hudson-Vitale (Washington University in St Louis)
    Lisa Johnston (University of Minnesota)
    Wendy Kozlowski (Cornell University)
    Heidi Imker (University of Illinois, Urbana-Champaign)
    Jacob Carlson (University of Michigan)
    Robert Olendorf (Pennsylvania State University)


    The Data Curation Network surveyed members of the Association of Research Libraries (ARL) on their Data Curation Activities and Infrastructure as part of the ARL SPEC Kit program in January 2017. The openly accessible results of the study (link forthcoming) demonstrates the current state of data curation services in ARL institutions by addressing the current infrastructure (policy and technical) at ARL member institutions for data curation, treatment activities, the current level of demand for data curation services, and the frequency for how often specialized curatorial actions are taken. This poster dives deeper into the qualitative responses and analyzes the trends and challenges that institutions are currently facing when providing data curation services. As libraries seek to define their mission and service levels in support of data curation activities, having an understanding of the challenges that other institutions face in supporting this effort will be essential. Finally the poster will describe how the current partner institutions of the Data Curation Network will use the results of this survey to gain a more extensive understanding of the curation ecosystem beyond ARL institutions.

  • Documentation in the Middle: Active Phase Project Documentation for Inclusive and Effective Team-Based Research
    Hailey Mooney (University of Michigan Library)
    Jacob Carlson (University of Michigan Library)
    Karen Downing (University of Michigan Library)
    Lori Tschirhart (University of Michigan Library)


    Documentation is an essential component of good data management and yet data service providers often struggle to provide effective support to researchers. There are materials available for creating or assisting researchers with documentation at the beginning and end of a project; from data management plans to documenting data for archival purposes. However, we don’t yet have a solid understanding of how research teams incorporate (or not) documentation into their everyday work. This poster reports on a project to investigate, analyze, and synthesize real and ideal documentation practices within research teams in order to develop a universal project manual documentation template. It is our contention that a “lab manual” or “project organization protocol” will enhance the effectiveness and efficiency of research teams, while creating an inclusive environment by making local practices and expectations clear to all team members regardless of previous research experience and disciplinary background. The goal of this project is to identify the basic considerations that any researcher from any discipline should consider for their local documentation in support of team-based research 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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