Questionnaire Construction, Data Collection and Data Analysis: An Approach by the Idea of Data Science

  • Chikio Hayashi
Conference paper


Data design, data collection and data quality evaluation are crucial to data analysis if we are to draw out useful relevant information. Analysis of low-information data never bears fruit; however, data analytic methods can be refined. In spite of the importance of this issue in actual data mining and data analysis, I am forced to ask why these problems cannot be discussed at its most essential level. Perhaps it is a matter of the laborious practical work involved or the otherwise plodding pace of research. Indeed, these problems are rarely addressed because in academic circles it is regarded as unsophisticated. In the present paper, I dare to take up these problems, regarding it as one very important to data science.


Data Science Response Group Dynamic Unification Questionnaire Construction Data Quality Evaluation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Japan 2002

Authors and Affiliations

  • Chikio Hayashi
    • 1
  1. 1.The Institute of Statistical MathematicsShibuya-ku, TokyoJapan

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