NADDI: Recent submissions

Now showing items 21-27 of 27

    • Welcome to NADDI2013 

      Hoyle, Larry (2013-04-20)
      Welcoming remarks for NADDI 2013

    • REDCap and DDI Exporting Data and Metadata with the API 

      Hoyle, Larry; Van Roekel, Ada (2013-04-03)
      The REDCap (Research Electronic Data Capture) consortium is a group of over 450 institutions that supports a web application which supports data capture for research studies (see http://project-redcap.org/). The application ...

    • DDI Extensions for Qualitative Data 

      Gregory, Arofan; Hoyle, Larry (2013-04-02)
      DDI's origins lie in structuring metadata for quantitative data, data represented by numbers or by a set of values that can be tabulated. Many researchers though, generate or analyze unstructured data, text documents, ...

    • Generic Statistical Information Model (GSIM) 

      Lalor, Thérèse; Vale, Steven; Gregory, Arofan (2013-04-03)
      Across the world statistical organizations undertake similar activities. Each of these activities use and produce similar information (for example all agencies use classifications, create data sets and publish products). ...

    • DataForge: A DDI-Enabled Toolkit for Researchers and Data Managers 

      Gregory, Arofan; Heus, Pascal; Gager, J (2013-04-02)
      Statistical data exist in many different shapes and forms such as proprietary software files (SAS, Stata, SPSS), ASCII text (fixed, CSV, delimited), databases (Microsoft, Oracle, MySql), or spreadsheets (Excel). Such wide ...

    • Michigan Questionnaire Documentation System (MQDS) 

      Cheung, Gina-Qian (2013-04-03)
      The Michigan Questionnaire Documentation System (MQDS) is a powerful tool used to help create questionnaire documentation, with or without summary statistics, and other documentation based on the Blaise data model for a ...

    • Data and Metadata Harmonization for the RAND Survey Meta Data Repository 

      Amin, Alerk (2013-04-17)
      The RAND Survey Meta Data Repository aims to help researchers use data and metadata from the HRS-family of surveys on aging, including studies from the US, UK/Europe and Asia. The project consists of 3 major parts: 1) ...