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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

  • Finding a Data Sharing Solution: Connecting Journals to Harvard's Dataverse
    Sonia Barbosa (Harvard Dataverse Repository)

    [abstract]

    Harvard Dataverse Repository offers Journals several workflow options to enhance their data sharing and preservation experience: 1. Journals can create a customized dataverse that allows use of the journal publishing workflow; 2. Journals can utilize option 1 paired with reproducibility verification provided by ODUM Archives; 3. Journal systems can make use of our Integration API currently used by OJS and OSF for seamless data deposits; and 4. Journals can recommend that authors deposit data into Harvard's Repository. Journal specific features include: Private URL for dataset review and coming soon, data file widgets that can be included within the published journal article.

    Presentation:
  • Let’s Meet in the Middle: Facilitating Access to Administrative Data in the UK
    Rowan Lawrance (UK Data Archive/ADRN)
    Sabrina Iavarone (UK Data Archive/ADRN)

    [abstract]

    The Administrative Data Research Network (ADRN) facilitates access to de-identified administrative data for researchers. Under a complex and dynamic data sharing legal framework in the UK, the Network is a partnership of UK Universities, government departments, national statistical authorities, funders and research centres and it aims to deliver a service enabling secure and lawful access to de-identified linked administrative data to researchers. As one of the 'front doors' to the ADRN, the Administrative Data Service is liaising with data owners, researchers and experts in data linkage and data governance to facilitate access to administrative data. In addition to providing guidance on processes and an infrastructure addressing some of the concerns on information governance and data security through dedicated 'secure environments' as points of access. Quite often, we find ourselves in the ‘middle’ of these discussions, as we negotiate access and translate requirements and repurpose documentation to ensure the project resonates with a variety of agendas and priorities. The poster will provide an overview of recent work in the area and how we have dealt with challenges up to now. We will summarise work done in trying to streamline application processes for different data providers in different data domains in the UK (e.g. education, health, crime, benefits and labour market). We will talk about how ADRN has been working alongside government departments to design and implement streamlined approaches to administrative data access in the UK and how we are supporting researchers when they apply to access administrative data for their research in the areas of ethics, consent, legal pathways to access, methodology and data availability. And how it’s not just about data meeting in the middle, it’s primarily about people.

    Presentation:
  • New Approaches to Facilitate Responsible Access to Sensitive Urban Data
    Andrew Gordon (Center for Urban Science and Progress, NYU)
    Rebecca Rosen (Center for Urban Science and Progress, NYU)
    Daniel Castellani (Center for Urban Science and Progress, NYU)
    Daniela Hochfellner (Center for Urban Science and Progress, NYU)
    Julia Lane (Center for Urban Science and Progress, NYU)

    [abstract]

    Improving government programs requires analysis of government administrative data. Providing access to these data to academic and public sector researchers is an important first step to robust analysis. At the same time, these data contain Personally Identifiable Information and so great care must be taken in obtaining, storing, and providing access to these data. The Data Facility at NYU’s Center for Urban Science and Progress (CUSP) is building on a long history of research on how to facilitate data curation, ingestion, storage, and controlled access in a safe and trustworthy environment. The poster describes how CUSP combines computer science, information science, and social science approaches which include (i) building a data model that accommodates sharing research data across disciplines, (ii) employing data curation and ingestion services so that data providers can confidently share their data with authorized researchers, (iii) converting data restrictions into concise, easy to understand, and searchable metadata to help researchers find appropriate data for their research, and (iv) capturing activity around datasets as contextual metadata so researchers can discover new data to complement their analyses.

    Presentation:
  • Research Data Management and Academic Institutions: A Scoping Review
    Leanne Trimble (University of Toronto)
    Dylanne Dearborn (University of Toronto)
    Ana Patricia Ayala (University of Toronto)
    Erik Blondel (University of Toronto)
    Tim Kenny (University of North Texas Health Science Center)
    David Lightfoot (St. Michael's Hospital)

    [abstract]

    This poster will describe the results of a scoping review undertaken at the University of Toronto, Carleton University, and the University of North Texas Health Science Center in 2016-17. The purpose of this study is to describe the volume, topics, and methodological nature of the existing literature on research data management in academic institutions. The specific objectives of the scoping review include:1. to complete a systematic search of the literature to identify studies on research data management across all disciplines in academic institutions;2. to identify what research questions and topic areas have been studied in research data management related to academic institutions; and3. to document what research designs have been used to study these topics.This poster will outline the analysis of the identified literature, and describe the results obtained from the scoping review.

    Note: The 8th author of this poster is Mindy Thuna from the University of Toronto. 

    Presentation:
  • Social Science Data Archive Business Models: A Historical Analysis of Change over Time
    Kristin Eschenfelder (University of Wisconsin-Madison)
    Kalpana Shankar (University College Dublin)
    Allison Langham (University of Wisconsin-Madison)
    Rachel Williams (University of Wisconsin-Madison)

    [abstract]

    The sustainability of data archives is of growing concern, and recent reports have raised questions about possible alternative business models for data archives.  This study will provide a clearer understanding of how and why data archives made changes in business models from the 1970s to the early 2000s in the past in response to evolving conditions. Business models encompass financial structures such as revenue streams and costs, but also relationships (contractual, partnerships etc.), mission decisions about who to serve, and collections decisions about what to maintain. This poster is part of a larger project about how social science data archives have adapted over long periods of time and to variety of challenges.    We will include data on changes in business models at four prominent and long-lived social science data archives, ICPSR at University of Michigan, the UKDA, part of the UK Data Service at University of Essex, the LIS Cross National Data Center in Luxembourg, and EDINA at the University of Edinburgh. Our data include historical institutional documents and interviews with current and past staff.

    Presentation:
  • Data Literacy for All, with R
    Ryan Womack (Rutgers University Libraries)

    [abstract]

    Introducing general audiences to their first hands-on data work often faces formidable barriers. New users typically must spend their time installing, configuring, and learning the programming conventions of specific software environments that may themselves present barriers of cost and compatibility. Importing and wrangling data into a form suitable for use is another barrier.
    As data professionals, we can apply our skills to develop relatively painless introductions to data that focus on understanding the data itself and analytical concepts, instead of the mechanics of a program.  We can customize and tailor our presentations to the needs of particular audiences by developing wrappers around data and functions that simplify their use, and we can develop techniques and interfaces that allow easy data exploration.
    Using R, this workshop will explore 1) building packages for distributing data and functions; 2) using sample data and functions to illustrate basic data literacy concepts such as descriptive statistics, modeling, and visualization, while keeping the focus on meaning, not mechanics; and 3) building tools for interactive exploratory data analysis by end users.  As open source software, R is easily available and can be locally distributed where internet access and computing resources are scarce.
    Note that workshop attendees will need to provide their own laptop. The workshop leaders will contact attendees with instructions for downloading software (R, version 3.3 or later, download from https://cloud.r-project.org and RStudio, version 1.0 or laterdownload from https://www.rstudio.com/products/rstudio/download/#download) prior to the workshop date and attendees are also welcome to arrive 15 minutes early for help with software installation.

  • Dueling CAQDAS – Using Atlas.ti and NVivo for Qualitative Data Analysis
    Mandy Swygart-Hobaugh (Georgia State University)
    Florio Arguillas (Cornell Institute for Social and Economic Research (CISER))

    [abstract]

    Many social scientists like to “get their hands dirty” by delving into deep analysis of qualitative data – be it discourse analysis, in-depth interviews, ethnographic observations, visual and textual media analysis, etc. Manually coding these data sources can become cumbersome and cluttered – and may even hinder drawing out the rich content in the data. Consequently, qualitative researchers are increasingly turning to computer-assisted qualitative data analysis software (CAQDAS) to facilitate their analyses. Through hands-on work with provided data, participants will explore ways to organize, analyze, and present qualitative research using both NVivo and Atlas.ti analysis softwares. The workshop will cover the following topics:
    • Coding of text and multimedia sources• Using Queries to explore and code data• Organizing and classifying sources to facilitate comparative analyses across data characteristics (e.g. demographics)• Data visualizations and reports
    Note that workshop attendees will need to provide their own laptop running Windows or Windows virtual desktop (for Macs). The workshop leaders will contact attendees with instructions for downloading free trial versions of Atlas.ti and NVivo for installation prior to the workshop date.
    This workshop is sponsored by the Qualitative Social Science and Humanities Data Interest Group (QSSHDIG).

  • International Activities in Research Data Management Education: Tools and Approaches
    Helen Tibbo (School of Information and Library Science, UNC-Chapel Hill)
    Nancy McGovern (MIT)
    Thu Mai Christian (Odum Institute, UNC-CH)
    Jacob Carlson (University of Michigan)
    Merce Crosas (Harvard University)
    Robin Rice (University of Edinburgh)

    [abstract]

    This workshop will present brief overviews of key international RDM education efforts with a synthesizing overview of progress in this area. Tibbo and Christian will report on “Research Data Management and Sharing,” the MOOC (Massively Open Online Course; https://www.coursera.org/learn/data-management) produced by the CRADLE project-- (cradle.web.unc.edu) – and the University of Edinburgh’s MANTRA (datalib.edina.ac.uk/mantra) program. The MOOC is relevant to librarians, archivists, and other information professionals tasked with research data management and preservation as well as to researchers themselves. Rice will provide an update on MANTRA and RDM efforts at the University of Edinburgh, reflect on her experience with the Coursera MOOC, and discuss how this tool might be enhanced for librarians and especially researchers. McGovern will discuss her work with the Digital Preservation Management Workshop series with which she has been a driving force for over a decade and discuss lessons taken from digital preservation for RDM activities and training efforts. Crosas will discuss RDM work at Harvard University and Carlson will talk about how Data Curation Profiles can help with data management education.These presentations will provide the audience with a starting point for breakout session topics that may include but are not limited to:• How do you handle data training at your institution? • What are your professional needs in RDM (education for librarians/archivists)?• What lessons have you learned from working with research on their RDM needs?

  • Introduction to mapping & QGIS
    Megan Gall (Lawyers' Committee for Civil Rights Under Law)

    [abstract]

    We’re going to make some maps. Historically, there were substantial barriers to incorporating geographic information systems (GIS) into the social sciences. Originally used in the physical sciences, GIS is now well entrenched as a useful suite of analytic tools for all branches of social sciences and the list of relevant applications grows continually. Additionally, new and open source software remove many of the monetary barriers. This workshop will delve into QGIS, a powerful and free desktop GIS. We’ll cover topics designed to get new users acclimated to the technology and mapping on their own.

    We will cover basic and intermediate GIS topics. Basic topics include general mapping concepts, data requirements, useful GIS data repositories, and how to load those data into QGIS. Intermediate topics will cover types of GIS data visualizations, data manipulation techniques, and basic analyses.
    This is a hands-on session that will introduce participants to the fun and ease of map making. Participants will leave with practical skills, free resources, and a well-developed understanding of GIS principles.
    Note that workshop attendees will need to provide their own laptop. The workshop leaders will contact attendees with instructions for downloading software prior to the workshop date and attendees are also welcome to arrive 15 minutes early for help with software installation.

  • Preparing Qualitative Data For Sharing and Re-Use
    Louise Corti (UK Data Archive, University of Essex)
    Libby Bishop (UK Data Archive, University of Essex)
    Sebastian Karcher (Qualitative Data Repository, Syracuse University)

    [abstract]

    This workshop is for researchers interested or actively engaged in the creation and management of qualitative research data, and looks at the steps required to prepare data for sharing and reuse. We will cover existing best practices and tools, looking at data preparation, ensuring that non-proprietary formats are used, and raw data are documented to capture as much context as possible.  We pay attention to the design of consent forms, and methods of anonymisation and controlling access, highlighting strategies that researchers can use to share as much research information as possible ethically and legally.
    Finally we show examples drawn from UK Data Service and the Qualitative Data Repository of how data can be published, the levels of access control required, and look at the impact of sharing data as a valued research output, and of course, a great long-lasting asset! 
    We track examples of successfully archived qualitative data as it makes its way through the data assessment, review, processing, curation, and publishing pipeline.

  • 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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  • Resources

    Resources

    A space for IASSIST members to share professional resources useful to them in their daily work. Also the IASSIST Jobs Repository for an archive of data-related position descriptions. more...

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