1. Class exercise - collecting data - individual
Peter Fox
Data Science – ITEC/CSCI/ERTH-4350/6350
Week 4, September 17, 2013

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
Derived from
Data Management Systems for Scientific Applications
IFIP Conference Proceedings; Vol. 188
Proceedings of the IFIP TC2/WG2.5 Working Conference on the Architecture of Scientific Software
Pages:
Year of Publication: 2000
ISBN:
Reagan Moore
Kluwer, B.V. Deventer, The Netherlands, The Netherlands

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. What you tripped over
New data collection, mixed up different modes for one collection
Logical collections (please notice plural) – did pretty well!
Will - versus if/could/would
Specific versus generic (need details) mostly well done
Not enough searching on data formats, metadata, standards, etc.

6. 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?
What are you planning to do?

7. What is next Assignment 2 is due in two weeks (written)
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

8. Presenting your data ~8-10 min each
Split into 4 groups – so need 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