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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

3B: Disclosure techniques for restricted data (Fri, 2016-06-03)
Chair:Laine Ruus

  • The development of synthetic data sets to expand and transform use of disclosive data from the ONS Longitudinal Study
    Oliver Duke-Williams (University College London)
    Nicola Shelton (University College London)
    Adam Dennett (University College London)


    The ONS Longitudinal Study is a data set built around a sample of 4/365 birthdates for individuals in England and Wales using decennial census data from 1971 to 2011 plus linked administrative data, together with census data for other persons in sample member's households. The data are disclosive, and thus access is restricted to approved researchers working on approved projects, with access via a safe setting or via an intermediary. This presentation describes the production of non-disclosive synthetic versions of the data that offer a number of advantages. Training sessions etc. especially those for potential users can be run using these data, whereas access to real data is impossible. Existing users can test their SPSS/STATA/etc scripts on synthetic data, to debug and test the logic properly, before submitting scripts to be used in the safe setting. If the data have the characteristic that attribute distributions are reasonably similar in synthetic data to those observed in real data, then synthetic data can also be used as an initial exploratory tool to gauge whether planned analyses are feasible. Two separate approaches have been engaged: one working from project-specific secure data sets to produce a safe set of equivalent microdata that have similar but not identical characteristics, and a second approach producing an entirely synthetic general purpose data set. We reflect on both the methodological issues involved in producing synthetic data and the institutional process of arguing that such data are both safe and useful.

S4: DDI tools: No tools, no standard (Fri, 2016-06-03)
Chair:Marcel Hebing

  • DDI Tools Session: No Tools, No Standard
    Marcel Hebing ()


    The acceptance and adoption of a standard like DDI highly depends on the availability of software tools to use it. The DDI Developers Community is a part of the DDI Alliance where software developers from around the world can meet and swap ideas on working with DDI in various programming environments and languages. In this session we like to give you an introduction to our work and present you a selection of available tools. This Session will give you an overview of tools available from the community.

    Detailed presentations of tools include:

    - Dan Smith and Jeremy Iverson: Colectica
    - Daniel Katzberg: Using metadata to auto-generate variable
    - Knut Wenzig: Packages for Stata and R using DDI on Rails metadata
    - Marcel Hebing: DDI on Rails
    - Olof Olsen and Jannik Jensen: The healthy portable portal
    - Samuel Spencer: Aristotle Metadata Registry

  • 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


  • 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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