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Data Collection Methods and Practical Exercise Overview - Week 5

In Week 5 of the Data Science course (ITEC/CSCI/ERTH-4350/6350), we focus on modes of data collection including observation, measurement, and generation driven by research questions. Students are required to conduct individual data collection exercises. Key activities include preparing for Assignment 2, emphasizing participation, and understanding the importance of metadata and data organization. Each student will present their findings in groups, focusing on acquisition methods and management aspects. This week's goal is to enhance practical skills in data handling and presentation.

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Data Collection Methods and Practical Exercise Overview - Week 5

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  1. Class exercise - collecting data - individual Peter Fox (Marshall Ma attending) Data Science – ITEC/CSCI/ERTH-4350/6350 Week 5, September 23, 2014

  2. Modes of collecting data, information • Observation • Measurement • Generation • Driven by • Questions • Research idea • Exploration

  3. Management • Creation of logical collections • Physical data handling • Interoperability support • Security support • Data ownership • Metadata collection, management and access. • Persistence • Knowledge and information discovery • Data dissemination and publication

  4. Practical details for this week • Preparation was your plan (A1) and some of you have feedback • This week is practical – scope your effort so that you can ~ conduct it within class hours if possible (not required) • Ground rules • ONE data collection • No one off collections • This is an individual exercise

  5. Practical details for this week (ctd) • A write up is required, details are in Assignment 2 and presented in week 6 (i.e. keep detailed notes) • No analysis is required • Questions?

  6. What is next • Assignment 2 is due next week • Presentation is due after you present it (4 groups) • No reading this week • Participation for the week 6 is very important as you will learn a lot from your peers

  7. Presenting your data • ~8-10 min each • Split into 4 groups – so everyone needs to be prepared to present • 4-5 slides MAX • Present • The goal, and the mode of collection • How data was acquired • Physical and logical organization • Other ‘management’ aspects • Metadata and documentation collected/ stored • Some data in some form

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