Class exercise - collecting data - individual

1. Class exercise - collecting data - individual Peter Fox Data Science – ITEC/CSCI/ERTH-6961-01 Week 4, September 18, 2012

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 options • No one off collections • This is an individual exercise

5. What you tripped over • New data collection • Logical collections (please notice plural) • Will - versus if/could/would • Specific versus generic (need details) • Not enough searching on data formats, metadata, standards, etc.

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

7. What is next • Assignment 2 is due next week (written) • Presentation is due after the class you present it in • No reading this week • Participation for the next two weeks is very important as you will learn a lot from your peers

8. Presenting your data • ~8-10 min each • Split over two weeks but all need to be prepared to present next week • 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