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Learn about the different modes of collecting data, including observation, measurement, generation, and research exploration management. Discover the importance of logical collections, data interoperability, security support, metadata, persistence, and data dissemination.
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Class exercise - collecting data - individual Peter Fox Data Science – ITEC/CSCI/ERTH-6961-01 Week 4, September 18, 2012
Modes of collecting data, information • Observation • Measurement • Generation • Driven by • Questions • Research idea • Exploration
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
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
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.
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?
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
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