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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

Data Gathering

Data Gathering

the real world
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

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

Data Gathering

fact finding techniques
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

designing a questionnaire
Designing a questionnaire
  • Standard stuff to go here

Data Gathering

designing an interview
Designing an Interview
  • Standard stuff

Data Gathering

web questionnaires
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

web experiments
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

something to read
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

market surveys
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

how others do it
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

oh dear
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

conclusion
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