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Data Gathering

Data Gathering. The real world. reading books, articles, proceedings takes you into the academic world of discussion, critique and development

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Data Gathering

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  1. Data Gathering Data Gathering

  2. The real world • reading books, articles, proceedings takes you into the academic world of discussion, critique and development • Most projects take their main focus from a practical “build something” and the nature of that build is usually determined by gathering data from the real world • This is often referred to as empirical research Data Gathering

  3. examples • Producing a list of requirements for a piece of software • Producing a data model from a real business process Data Gathering

  4. fact finding techniques • Software engineering techniques such as requirements capture • Information analysis techniques e.g. rich pictures in soft systems analysis • Questionnaires • Interviews • Market surveys Data Gathering

  5. Designing a questionnaire • Standard stuff to go here Data Gathering

  6. Designing an Interview • Standard stuff Data Gathering

  7. Web questionnaires • The questionnaire resides on the web site and is accessed through a browser • Respondents complete the questionnaire online and typically choose the time and place to suit their preferences • Email the url to a list of potential participants • Commercial sites increasingly demand information from users navigating them • Used by CMS to gain information about student experience in our labs and courses Data Gathering

  8. Web experiments • The experiment resides on a web site and is accessed via a browser • One or more independent variables that control the experiment are set via the web • Subjects are remote from the observer and free to choose time and place of experiment • Subjects could be emailed and invited to take part by clicking a hyperlink in the email Data Gathering

  9. something to read A new twist on an old method: a guide to the applicability and use of web experiments in information systems research • Michael R. Wade, Peter Tingling August 2005   • ACM SIGMIS Database,  Volume 36 Issue 3 Data Gathering

  10. Market surveys • Existing applications, web pages, standards, - what exactly do you note down? • Think through the question that the survey will answer to avoid failing to note the right information • Need to carry through an analysis, produce quantitative information, tables etc • Do a pilot if you are not sure Data Gathering

  11. how others do it … A survey and analysis of Electronic Healthcare Record standards • Marco Eichelberg, Thomas Aden, Jörg Riesmeier, Asuman Dogac, Gokce B. Laleci December 2005   • ACM Computing Surveys (CSUR),  Volume 37 Issue 4 Data Gathering

  12. Oh dear …. • Work-in-progress: How much do we understand when skim reading? Geoffrey B. Duggan, Stephen J. Payne April 2006  CHI '06 extended abstracts on Human factors in computing systems CHI '06 Data Gathering

  13. Conclusion • Always make notes from what you read, when you read it • Write down the exact reference – names, article title, journal name, publisher, date, • Focus on key areas that you can relat to your project • Do not review textbooks – a quick mention is sufficient! • Always pick out any obvious impact on what you build and how you evaluate it. Data Gathering

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