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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

  • IFDO Poster
    Jon Crabtree ()
  • IASSIST 2018 in Montreal
    Berenica Vejvoda (McGill Library, McGill University)
  • A Complex Use Case - Documenting the Consumer Expenditure Survey at BLS
    Daniel Gillman (US Bureau of Labor Statistics)
    Evan Hubener (US Bureau of Labor Statistics)
    Reginald Noel (US Bureau of Labor Statistics)
    Bryan Rigg (US Bureau of Labor Statistics)
    Arcenis Rojas (US Bureau of Labor Statistics)
    Lucilla Tan (US Bureau of Labor Statistics)


    The Consumer Expenditure Survey (CE) is a Bureau of Labor Statistics (BLS) program that measures how US families spend their money. These data are also input to the CPI. BLS selected DDI-3.2 to document CE, including the entire life-cycle.
    CE is conducted as 2 separate surveys, Interview and Diary. The data are combined during processing and packaged in 2 ways, one for CE dissemination and one for CPI. Changes in design occur every odd numbered year. Yearly estimates are created every 6 months, PUMD issued yearly, and data sent to CPI monthly. CE processing is divided into 4 sub-systems: 1) sample selection and collection; 2) initial edit subsystem; 3) estimation and edit subsystem, with data sent to CPI; and 4) final edits, tables, microdata. Data are processed in packages by expenditure type.
    A documentation system needs to handle all these features. For development, BLS is conducting a phased approach, adding complexity from phase to phase. The incremental systems are designed to establish that DDI and the Colectica system are sufficiently sophisticated to account for each feature of CE. This paper will go into detail about the particulars of the CE survey, describe progress made, and plans for the future.

  • CODATA poster
    Ernie Boyko (Canada National Committee for CODATA)
    Simon Hodson (CODATA)


    CODATA, an interdisciplinary scientific committee of the International Council for Science (ICSU), has many things in common with IASSIST. Established in 1966, CODATA promotes and encourages the compilation, evaluation, and dissemination of reliable data of importance to science and technology on a world-wide basis. This poster will outline the scope of CODATA activities with the aim of identifying areas of mutual interest with IASSIST and explore possible areas of collaboration.

  • Creating Data Citations in LaTex for Economists
    Courtney Butler (Federal Reserve Bank of Kansas City)
    Brett Currier (Federal Reserve Bank of Kansas City)


    The Federal Reserve Bank of Kansas City built a LaTex citation for acquired data so economists could copy and paste the data citations into their preferred word processing program, which is LaTex. Copy and paste citations exist for traditional academic articles and books from places like Citation Machine or Google Scholar, which provides researchers with the code they need for various citation styles and word processing programs, including LaTex. We could not identify a similar plugin for datasets. We reviewed all active contracts and open data sources for publication permissions, restrictions or limitations, post-termination rights, and specific data citation guidelines. Information was then compiled and made available on a private intranet site to avoid violation of non-disclosure agreements. Citation information was translated into LaTex scripting in Modified Chicago Style when specific citation requirements were not indicated by the Licensor. This poster will explain that process and provide a template for data citations and their LaTex scripting.

  • Data Data Data! But Little to Work With
    Adetoun Oyelude (University of Ibadan, Ibadan)


    The poster presents a model of data (in)accessibility in institutions where lots of data is produced and (not) stored. The difficulty in accessing available data due to factors such as lack of expertise on the part of the data professionals in charge, and also that of the data user is explained. The solution to the "Data glut" is proffered through proper planning and management of data in institutions that generate or gather data, as well as adequate capacity building for staff who handle data, and for users of data that has been generated. A case study of adequate data management and training is pictorially shown in the poster.

  • Developing Research Data Life Cycle Strategy: A Collaborative Approach at Fed Chicago
    Deng Pan (Federal Reserve Bank of Chicago)


    Research data are critical for researchers at the Federal Reserve System to conduct empirical analysis for monetary policy related work and long-term projects. However, the management of research data in Fed Chicago was more likely handled on an ad-hoc basis, lacking a systematic and consistent approach of planning, acquiring, processing, publishing, storing and preserving the data.  In 2016, a Research Data Life Cycle Strategy (RDLCS) was developed collaboratively among data librarians, IT staff, and researchers at Fed Chicago.   This poster will diagram the six stages required for successful management of research data particularly tailored to the Fed environment, and highlight the key elements undertaken by all stakeholders to address existing issues and challenges and optimize users'  experience with research data.

  • Legal and Ethical Challenges of Sharing Big Data
    Libby Bishop (UK Data Archive and GESIS)
    Simon Parker (UK Data Archive)


    As the use of big data in social research continues to grow, challenges are emerging regarding the sharing of these forms of research data.  Data may be shared in response to funder mandates, journal requirements, or researchers’ preferences.  Sharing big data may pose legal and ethical challenges for three reasons: 1) data are not created by researchers; 2) data are not created for research purposes; and 3) data are not created in discreet bundles.  When data are produced outside traditional research frameworks, the conventional protections (e.g., informed consent and anonymisation) may not be feasible or possible.  Moreover, data that were previously collected for specific research purposes are now increasing capable of being linked with other data sources, potentially increasing disclosure risks.
    This poster will consider diverse genres of big data (e.g., social media, geo-spatial, and administrative).  The key challenges of data sharing will be shown, with practical tools—such as checklists and flowcharts—to guide researchers through the steps of sharing big data.

  • Metadata in the Middle
    Colleen Fallaw (University Library, University of Illinois at Urbana-Champaign)


    To participate in centralized data search and access, Illinois Data Bank (the research data repository for the University of Illinois at Urbana-Champaign) contributes and maintains records for datasets in the DataCite Metadata Store, using the EZID API through Purdue University. The organizational and technical hand-offs through the various layers can be complex to navigate.   On the way from research data producers to consumers, Illinois Data Bank metadata is formatted, stored, subsetted, reformatted, and passed through several organizations. University Library <=> EZID at Purdue <=> DataCite <=> International DOI Foundation If a researcher needs to correct metadata or adjust publication delay, or a curator needs to suppress a dataset while reviewing concerns, Illinois Data Bank propagates adjustments along the chain. Supporting researcher self-deposit, along with a slate of curator controls, exploits the breadth of the API and requires an understanding of the connections among components. The goal of this poster will be to present these intricacies, along with some of our technical strategies for using the EZID API, in way that implements features of the Illinois Data Bank.

  • Promoting Data Usage in SSJDA: Introducing Our Secondary Analysis Workshops
    Izumi Mori (The University of Tokyo)
    Natsuho Tomabechi (The University of Tokyo)
    Satoshi Miwa (The University of Tokyo)


    Social Science Japan Data Archive (SSJDA) has released microdata since 1998. While we initially held no more than 200 datasets being used by a maximum of 10 users per year, we currently hold over 1900 deposited datasets, with a data usage count of approximately 2900 per year. One of our major initiatives in promoting such data use includes Secondary Analysis Workshops, which are held to encourage researchers and graduate students in social sciences to make the best use of the survey data kept in our archive. We seek participants and research themes from all over Japan and analyze the target datasets every year. Researchers from depository institutions who are knowledgeable about the data serve as advisors for the workshops. SSJDA staff also support the workshops as they provide expertise in social research and quantitative data analysis. Through these efforts, participants are able to work together to pursue their own research agenda, as they receive advice on the characteristics of the data as well as on choosing methodologies. The number of participants and research themes for the workshops have been increasing each year, suggesting that such initiatives are highly regarded by Japanese researchers and graduate students in social sciences.

  • 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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    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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