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Conference Presentations 2009

  • IASSIST 2009-Mobile Data and the Life Cycle, Tampere, Finland
    Host Institution: Finnish Social Science Data Archive and the University of Tampere

C1: Developing Best Practices for the DDI (Wed, 2009-05-27)
Chair:Stefan Kramer (Yale University)

  • Panelist 2: Why Best Practices?
    Arofan Gregory (Open Data Foundation)
  • Panelist 3: Technical Best Practices
    Jeremy Iverson (Algenta Technologies)
  • Panelist 4: Future Plans
    Mary Vardigan (ICPSR)
  • Introduction: Why Best Practices?
    Arofan Gregory (Open Data Foundation)
  • DDI Best Practices: Technical Best Practices
    Jeremy Iverson (Algenta Technologies)
  • DDI Best Practices: Future Plans
    Mary Vardigan (ICPSR/ DDI Alliance)

C2: Sharing Data: High Rewards, Formidable Barriers (Wed, 2009-05-27)
Chair:Jon Stiles (UC Berkeley, UCDATA Archive)

  • Swedish National Data Service's Strategy for Sharing and Mediating Data
    Iris Alfredsson (Swedish National Data Service)
    Carina Carlhed (Malardalen University)
    Veronika Marosi (Swedish National Data Service)


    The main purposes for SND are to mediate information on data bases and other digital material collections for research, to facilitate access to research databases and to serve as a knowledge node for documenting and managing research data and adherent methodologies in several knowledge fields. Thus, a very important task for SND is to strengthen the altruistic reception of the importance of data sharing and open access among researchers. We have identified two key areas which serve as barriers for reaching our goals; legal barriers and possessive barriers. The legal barriers are hinders in Swedish current laws and statues. The possessive barriers are thresholds connected to unconsciousness among researchers. We will present our strategy which is a combination of "top-down" and "bottom-up" activities and some preliminary results from a survey. An example of a "top-down" activity is to influence research financiers to put higher demands on future open access data when completion of studies. Another example is to provide means and support researchers through the whole research process, e.g. with interpretations of different legal aspects of open access. Examples of "bottom-up" activities is to be present in different research contexts and "missionize" the benefits of sharing data.

  • Changing Laws in the UK: The New Statistics and Registration Services Act
    Tanvi Desai (London School of Economics)


    This paper will outline the new UK Statistics and Registration Services Act, giving details of the new legislative framework, and examining how the Act affects the status of research data users. The Act is the first of its kind in the UK and has led to the creation of the independent UK Statistics Authority, and has made researcher access to data a statutory function of the Office for National Statistics. The paper will also look at the opportunities this might present for improving researcher access to data.

  • Mind the Gap: Global Data Sharing
    Richard Wiseman (ESDS International; Mimas, University of Manchester)
    Celia Russell (ESDS International; Mimas, University of Manchester)

C3: Mobilizing Data in the Learning Environment (Wed, 2009-05-27)
Chair:Chiu-Chuang (Lu) Chou (University of Wisconsin)

  • Infrastructure for Statistics Education in Russia
    Anna Bogomolova (Moscow State University)
    Tatyana Yudina (Moscow State University)


    Statistical knowledge is considered one of the main competences of next generation administrators, managers, specialists in all fields of economic and social progress of a country, its concurrent position in future decades and successful personal career of a citizen. One by one states declare statistical education as a national priority and launch programs to promote teaching and training in data understanding and analysis. Following other countries Russian university community has set forth the initiative to develop statistical culture in society, as a first step to compose modern information infrastructure. International experience proves that education may start and go up all school years and to be continued at a college - university and then at post-university training centers. When started at school statistical education may bring important social benefit if a pupil may access and exploit an information base that maintains real economic, social, demographic data and portraits the place a school child lives. The University Information System RUSSIA ( is supposed to serve as one of a statistical infrastructure components - it provides for data bases that update indicators at regional and local levels. Analytical instruments and tutorials are implemented. Graphics- and map-based data representation is accomplished. Modified modules-based teaching program in statistics is being work out to serve all levels of education - schools, graduate and post graduate university courses and training for government agencies' and public institutions' specialists.

  • 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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