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Conference Presentations 2014

  • IASSIST 2014-Aligning Data and Research Infrastructure, Toronto
    Host Institution: University of Toronto, Ryerson University, and York University

6T: Metadata Portal for the Social Sciences (Fri, 2014-06-06)
Chair:Mary Vardigan

  • New workflows to capture metadata
    Tom W. Smith (University of Chicago, NORC)


    Metadata are an essential part of any modern release of survey research data and DDI facilitates the construction of and access to such documentation. While originally a new, extra phase added on after the traditional data collection of data, metadata are now recognized to be an integral and integrated part of conducting survey research. Increasingly, it is possible to extract metadata during the survey research work flow as it unfolds, to retain that information, and to append it to the collected data at the end of the survey research cycle. The goal is to develop a series of procedures so that via the use of DDI metadata, surveys can be designed, collected, documented, and released as part of one seamless process rather than as a series of loosely-related, stop-and-go steps. This presentation will provide recommendations for changes to existing workflows to accomplish this goal.

6U: National Data Management Policies (Fri, 2014-06-06)
Chair:Sami Borg

  • National data management policies: a cross-national comparison of their impact on data archives and institutional repositories
    Steven McEachern (Australian Data Archive)
    Alexia Katsanidou (GESIS - Leibniz Institute for the Social Sciences)
    Jonathan Crabtree (Odum Institute)
    Vigdis Namtvedt Kvalheim (IFDO)


    Recent developments in government open data and open access policies have increased the emphasis on data management policies and procedures internationally. Shifts in practices have come at both ends of the research lifecycle. The expectations of funders have placed increasing demands on institutions to understand, support and manage the data outputs of projects within their institutions more effectively. Research funders have also increased emphasis on data management planning at the start of research projects, often as a condition of the provision of grant funding. This symposium, convened by the International Federation of Data Organisations, will explore the impact of these shifts in national policies on the policies and practices of two major groups in this space: data archives and institutional repositories. The panel will begin with a detailed analysis of the range of policies in existence internationally, drawing on the recent IFDO data policy survey. This is followed by presentations from four international speakers – two from each of the data archive and institutional repository communities. The panel will then conclude with an open discussion of the likely directions for both national data management policies and directions for supporting these policies in the archive and repository communities.


6V: Planning and Assessing Research Data Services (Fri, 2014-06-06)
Chair:Ron Nakao

  • Now we are six: integrating Edinburgh DataShare into local and internet infrastructure
    Robin Rice (University of Edinburgh, EDINA and Data Library)


    Edinburgh DataShare, an institutional data repository, is six years old. It was built as a demonstrator in DSpace by EDINA and Data Library and has been given new life by the University of Edinburgh’s Research Data Management initiative. Following testing by pilot users in various departments last year, DataShare is confirmed as a key RDM service. Since 2008 much external infrastructure has grown around data sharing, and software developers, publishers and librarians are creating new innovations around the sharing and re-use of data daily. How can DataShare be shaped to fit in to this ever-more-sophisticated environment? A number of ongoing developments are helping us integrate the repository in the global context. DataShare is being indexed in Thomson-Reuter’s Data Citation Index. We aspire to attain the Data Seal of Approval for DataShare, a badge that confers trustworthiness through peer review. It is listed in and databib registries of data repositories. We offer via extension, peer review of datasets to our depositors by listing journals that publish ‘data papers’ such as F1000 Research. Locally, as Information Services builds new data services such as the Data Store, [private data] Vault and the [metadata-only] Register, we can focus DataShare on its named purpose.

  • Building support for research data management: knitting disparate narratives of eight institutions
    Natsuko Nicholls (University of Michigan)
    Fe Sferdean (University of Michigan)
    Katherine Akers (University of Michigan)


    Academic research libraries are quickly developing support for research data management (RDM), including both new services and infrastructure. This presentation will include examples from eight universities (including our own institution) that characterize the approach, method and strategy that each institution has applied to the process of developing RDM support programs. We focus on the prominent role of the library in educating and assisting researchers with managing their data throughout the research lifecycle. Based on these examples, we construct timelines for each institution depicting key events and milestones over the course of building support for RDM, and we discuss similarities and differences among universities in motivation to provide RDM support, collaborations among campus units, assessment of needs and services, and changes in staffing. Our case studies will help to outline how academic libraries have generally articulated the conceptual foundations, roles, and responsibilities involved in RDM, while highlighting the specific ways in which we have used research findings to improve the four key RDM areas: 1) Education, awareness, and community building; 2) Infrastructure; 3) Policy and strategy; and 4) Consultation and services. Our findings should provide useful insights for other institutions that are considering or in the progress of developing RDM services.

  • Challenges in developing a new library infrastructure for research data services
    Daniel Tsang (University of California Irvine)
    John P. Renaud (University of California Irvine, AUL for Research Resources)


    Two 2013 research data management reports, from ARL and from OCLC Research, point to the need to restructure research library data services. We discuss types of restructuring needed, utilizing in part the experience of the University of California, Irvine, Libraries, in establishing an E-Research & Digital Scholarship Services component, but also analyzing the changes at other research libraries as they grapple with the new mandate to make research data more accessible, and all that implies. We also analyze recent job announcements to illustrate how the profession of social science data librarian has changed and the recruitment implications. No longer is it sufficient for us to just help academic users find datasets for secondary analysis. Rather, our roles have changed inasmuch as many of us may become active collaborators with faculty during the research life cycle. Not only must research data be aligned with research infrastructure but the traditional liaison model of social science librarianship needs to be enhanced or restructured. We discuss various strategies underway so that libraries can actively participate in the global data ecosystem.


6W: Research Environments (Fri, 2014-06-06)
Chair:James Doiron

  • Moving beyond research: building an enterprise data service from a research foundation
    San Cannon (Federal Reserve Board)


    Data play a critical role in fulfilling the Federal Reserve Board’s mission across a broad range of functions, including monetary policy, financial stability, supervision, consumer protection, and economic research. The current data environment was designed to allow business lines to manage relatively small and predictable data sets that required limited sharing across silos. The Office of the Chief Data Officer was created in May 2013 to address the data needs of the Board, post-financial crisis, with an enterprise focus and a clear set of mandates to enhance data governance, data management, and data integration. The OCDO started operations with a small staff of data management professionals who traditionally supported the research function and now must shift gears to provide data services to a broader base of users and a wider range of analytical work. New infrastructures, programs, processes and staffing are being developed and deployed to ensure that data needs across the lifecycle are met and that a variety of analytical approaches can be supported.

  • Web 2.0: A little less conversation, a little more action please
    Margaret Ward (UK Data Service)
    Jack Kneeshaw (UK Data Service)


    Web 2.0 is far from a new idea and yet online social science archives, resources and tools have been relatively slow to turn it into something tangible. In 2014, the UK Data Service plans to introduce user ‘portfolios’ – an extension to the traditional user account – that will eventually allow registered users to interact with online content and with each other, collaborating with colleagues and sharing with the public. We know that many of our users are less the passive consumer and more the engaging contributor and that this shift will likely continue as younger cohorts become data professionals. Our planned user portfolio seeks to harness this new mood by, among other things, giving users the opportunity to: (1) create a public profile, incorporating other IDs (e.g., LinkedIn, ORCID); (2) make their current and past research projects more visible; (3) upload and share syntax/code; (4) comment, tag and add content on blogs, resources, records; (5) provide advice to other users; (6) store and share links to searches, resources etc. This presentation outlines the approach being taken by the UK Data Service – from an evaluation of needs through to technical implementation – and provides the planned timetable for delivery.

  • A virtual research environment for syntax sharing
    Brigitte Mathiak (GESIS - Leibniz Institute for the Social Sciences)


    In this talk, we would like to present our current work for a virtual research environment designed to enable the collaboration of over 20 Social Scientists working on social indicators. The system centers around the storage and re-use of syntax files. Syntax may describe filtering processes, weighing schemes, data harmonization and, of course, the data analyze that leads ultimately to the publication of scientific insight. Sharing it is the only way to achieve consistency in results over a group of people. We will also shortly explore some of the challenges involved in syntax metadata and how some it can be extracted semi-automatically. From this starting point, we will argue that to re-produce results in scientific publications, we not only need the starting point of the research data used, but also the documentation of how this data was transformed into the numbers that we read in the paper.

  • DATORIUM: Benefit from Data Sharing
    Wolfgang Zenk-Möltgen (GESIS - Leibniz Institute for the Social Sciences)


    With the beginning of this year DATORIUM, the data sharing repository of the Data Archive of GESIS – Leibniz Institute for the Social Sciences in Germany has gone online at It enables researchers to manage their research datasets, document basic study level information, and publish their data and structured metadata on a single web-based platform. The metadata schema of datorium is compatible with other current metadata schemata in the area like DataCite, da|ra, and DDI-Lifecycle. Datasets in DATORIUM may be shared with others according to the needs of the researchers and they get assigned a DOI name so that other users can cite the source and give credit to the primary data collectors. In general, DATORIUM encourages the use of open licenses that make the data available for a broad number of purposes and to the widest possible audience. Alternatively, researches can use more restricted licenses if privacy issues or other restrictions do apply. In any case, DATORIUM provides a medium-term data availability and makes the datasets citable. As an addition, long-term archiving of the data can be achieved by using the standard archiving services of the GESIS Data Archive.

7X: Data Curation and Workflow (Fri, 2014-06-06)
Chair:Harrison Dekker

  • An overview of the translating research in elder care monitoring system (TMS) data platform
    James Doiron (University of Alberta, Health Research Data Repository)
    Shane McChesney (Nooro Online Research)


    The initial Translating Research in Elder Care (TREC 1.0) ( research program was a 5-year (2008-2012), $4.7 million (CAD) CIHR funded project examining the effects of context upon resident and care provider outcomes in the Canadian long term care sector. A second phase of the project, TREC 2.0, is scheduled to commence in 2014.The TREC Measuring System (TMS) Data Platform project, a collaborative effort between the University of Alberta’s Knowledge Utilization Studies Program (KUSP) and Health Research Data Repository (HRDR), Metadata Technology North America (MTNA), and Nooro Online Research, focuses upon the application of DDI based metadata to TREC to support the automated collection/ingestion, quality assurance, harmonization and merging of TREC 2.0 data, as well the timely delivery of reports/outputs and real time ‘TREC-boards’ (dashboards) based on these data. This session will offer a comprehensive synopsis of the Data Infrastructure Platform project, including an overview of the TREC research program, their data types/sources, the HRDR virtual research environment which supports the project, challenges encountered, demonstration of tools, and how the project will serve as ‘proof of principle’ for a transferrable metadata driven management framework for application within future KUSP and HRDR housed research activities and beyond.

  • 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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