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Conference Presentations 2016

  • IASSIST 2016-Embracing the 'Data Revolution': Opportunities and challenges for research, Bergen
    Host Institution: NSD - Norwegian Centre for Research Data

2H: Research replication promotion and service development (Thu, 2016-06-02)
Chair:Katherine McNeill

  • Journals in Economic Sciences: Paying Lip-services to Reproducible Research?
    Sven Vlaeminck (ZBW Leibniz Information Centre for Economics)
    Felix Podkrajac (Oldenburg University)


    The talk focusses on the efforts of journals in economics and business studies in fostering research integrity. We report the findings of an empirical study in which a sample of 346 journals in economics and business studies was examined. One aim of our study was to determine whether these journals support reproducible research by implementing data policies and data archives. Another aim was to analyse the specifications of these data policies and to determine potential differences and commonalities for the two branches of economic research.
    In addition, the talk presents the outcome of an evaluation of journals' data archives. In this second study, two issues of each journal equipped with a data policy were checked for accompanying research data. With this additional analysis we aim to estimate whether journals with data policy really enforce data availability.
    Based on these studies, the talk provides an overview in recent developments of journals' research data management in economic research. The results indicate that especially journals in economics are in a state of flux.

  • Roles for the Data Services Community in Promoting Openness and Integrity in Social Science Research.
    Harrison Dekker (University of California, Berkeley)


    The goal of this panel is to raise awareness of the nascent movement in economics, political science, sociology, and related disciplines to improve the standards of openness and integrity in research. Certain aspects of this movement, namely those involving data sharing, will be familiar to the IASSIST community. But, the movement is also promoting a range of other practices such as study registries, pre-analysis plans, version control, disclosure standards, and replications that may be less well known in IASSIST. Given the significant overlaps between our communities and the potential for a mutually beneficial ongoing relationship it's an ideal time to begin a conversation. This panel will attempt to do so by bringing together data professionals and academic practitioners who are committed to advancing ethical changes in social science research.

3C: Metadata driven systems (Thu, 2016-06-02)
Chair:Helen Tibbo

  • Establishing an integrated data sharing process for micro- and metadata at Deutsche Bundesbank
    Anja Treffs (Deutsche Bundesbank)
    Meike Becker (Deutsche Bundesbank)
  • Metadata for discovery systems
    Wendy Thomas (Minnesota Population Centre)
    Dimitar Popovski (Gothenburg University)
    Mikko Saloila (Statistics Finland)
    Andreas Franken (German Centre for Research on Higher Education and Science Studies)
    Alexandre Mairot (SciencePro)
    Michelle Edwards (Cornell University)


    During the 2015 DDI training workshop "Facilitating Process and Metadata-Driven Automation in the Social, Economic, and Behavioral Sciences with DDI" at Dagstuhl, participants took part in many discussions of use cases related to their daily work. One of these discussions focused on discovery and data exploration systems for data described by DDI. The use case was as follows: Discovery systems use varying sets of metadata for search and display depending on the purpose of the search system and the community that it serves. This use case discusses the metadata objects needed to support different services and the implications for DDI metadata content. Several perspectives were discussed in terms of audience, level of searching, display requirements, and linkages between data objects. The result of this discussion was a description of decisions points for the selection of search fields, locations where structured metadata would be useful, and the implications of design decisions for the construction of the DDI metadata. This paper will outline the results of the discussion with a focus on how the metadata informs and defines the potential capabilities of the search system and conversely how the functionality of the desired search design informs how the metadata should be structured. The discussion resulted in recommendations of how to specify search and exploration requirements to programmers in order to achieve the desired results.

  • Making Nordic health data visible
    Dag Kiberg (Norwegian Centre for Research Data(NSD))
    Mari Kleemola (Finnish Social Science Data Archive, University of Tampere)
    Annaleena Okuloff (Finnish Social Science Data Archive, University of Tampere)
    Bodil Stenvig (Danish Data Archive)
    Jeppe Klok Due (Danish Data Archive)
    Elisabeth Strandhagen (Swedish National Data Service)


    The project is network collaboration between the Nordic social sciences data services with the primary aim to develop a discovery portal prototype for Nordic health data. Such portal requires: Common metadata standards; Broadening existing documentation standards with controlled vocabularies; Harmonized formats across repositories A first prototype is already made and published. The project focus on metadata needed to discover, locate and search for Nordic health data, including access rights. One of the challenges is that DDI as such does not specify or restrict the values, or terms, that can or should be used to describe the data. Inconsistent use of terms leads to misunderstandings and complicates drastically the machine-actionability and interoperability. The project has during its first period: 1. Charted the controlled vocabularies used by the four participating data archives and compared how they are used; 2. Identified the vocabularies that would be most useful for a Nordic Health Data Portal and broadened them to include concepts relevant for health data; 3. Mapped the DDI Codebook and DDI Lifecycle data descriptions. The presentation will focus on the objective of the project, controlled vocabulary and metadata, and the working method used

S3: Data curation for quality and reporducibility (Thu, 2016-06-02)
Chair:Andy Rutkowski

  • Data Curation for Quality & Reproducibility
    Thu-Mai Christian (University of North Carolina, Chapel Hill)
    Sophia Lafferty-Hess (University of North Carolina, Chapel Hill)
    Limor Peer (Yale University)
    Florio Arguillas (Cornell University)
    William Block (Cornell University)


    Prompted by initiatives such as the TOP Guidelines, the scientific community has restored its focus on the replication standard. Defined 20 years earlier by Gary King (1995) in his seminal article, "Replication, Replication," "the replication starndard holds that sufficient information exists with which to understand, evaluate, and build upon a prior work if a third party could replicate the results without any additional information from the author" (p. 444).
    For data curators, the replication standard should also hold that dataset files, programming code, codebooks, and all other materials that enhance interpretation and reuse of the data are stored in a trustworthy repository where files are normalized to sustainable formats and described using standard metadata. In addition, verification of replication materials to ensure that a third-party user can reproduce the tables and figures presented in published articles gives further assurances as to the reliability of data housed in repositories. These addenda extend and operationalize King's replication standard by establishing data curation processes that uphold the "gold standard" of data quality and reproducibility.
    Panelists will offer insights into the data curator's role in defining and supporting concepts of data quality as they uphold the replication standard. Each of the panelists will describe their unique experiences working with journal editors and authors as well as ways in which panelists have been rethinking, refining, and retooling data curation roles and processes to support and promote data quality and research reproducibility.

S5: CESSDA sets the stage fro data infrastructure of the future (Thu, 2016-06-02)
Chair:Vigdis Kvalheim

  • CESSDA Sets the Stage for the Data Infrastructure of the Future
    Vigdis Kvalheim (Norwegian Social Science Data Service (NSD))
    Rory Fitzgerald (SERISS)
    Elena Sommer (SERISS)
    Ivana Ilijasic Versic (CESSDA/ big Data Europe)
    Mari Kleemola (Finnish Social Science Data Archive, University of Tampere)


    CESSDA provides large scale, integrated and sustainable data services to the social sciences. It brings together social science data archives across Europe, with the aim of promoting the results of social science research and supporting national and international research and cooperation.
    The vision of CESSDA, as stated in its statutes, is to provide a full scale sustainable research infrastructure that enables the research community to conduct high-quality research which in turn leads to effective solutions to the major challenges facing society today.
    CESSDA is a beneficiary in three European projects under the framework of the Horizon 2020 programme of the European Commission:

    •  Big Data Europe - Empowering Communities with Data Technologies
    •  CESSDA SaW - Strengthening and widening the European infrastructure for social science data archives
    •  SERISS - Synergies for Europe's Research Infrastructures in the Social Sciences

    CESSDA also has a Work Plan project specifically dedicated to metadata management.

Poster Session (Thu, 2016-06-02)
Chair:Jenny Muilenburg

  • Integrated Environment for Social Research Data Analysis: DDIR
    Yasuto Nakano (Kwansei Gakuin University)


    The purpose of this presentation is to propose an environment for social research data and its analysis. A R package DDIR and an IDE dlcm, which utilize social research informations in DDI format, offer you integrated environments for social research data. DDI(Data Documentation Initiative) is a XML protocol to describe informations related to social research including questionnaire, research data, meta data and summary of results. There are several international research projects which use this protocol as a standard format. ICPSR(Interuniversity Consortium for Political and Social Research), one of the biggest data archive for social research data, encourages data depositors to generate documentation that conforms with DDI. In R environment, there is no standard data format for social research data . In many case, we have to prepare numerical data and label or factor informations separately. If we use DDI file as a data file with DDIR in R, only one DDI file is needed to be prepared. DDI file could be a standard data format of social research data in R environment, just same as 'sav' file in SPSS. DDIR realizes integrated social research analysis environment with R, and ensures it as a reproducible research.

  • A tale of two services
    Carol Perry (University of Guelph)
    Michelle Edwards (Cornell University)


    Two universities. Two countries. This case study will examine the evolution of data services at two universities of similar size and research focus from two different countries. We will explore the similarities and differences within the context of the fast-paced and ever-changing research data landscape. A review of factors affecting the decisions made at various stages of development and service delivery will expose the cultural differences between the two institutions and the countries in which they reside. What lessons can be learned from the choices that have been made? Will their paths converge or will their futures be vastly different?

  • Content Analysis of Online Chat Scripts: Ethical and Practical Perspective
    Judy Li (University of Tennessee)
    David atkins (University of Tennessee)


    Online reference services such as chat and email supplant what were traditionally face-to-face research interactions in the libraries. These transactions have the potential to generate robust data sets comprised of transcripts documenting, hundreds or even thousands of library service interactions spanning a single academic term. In this poster, we discuss the issues and challenges encountered, and the solutions devised to manage chat transcripts including data set creation, de-identification for patron and librarian privacy, and content analysis.

  • 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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