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

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 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: 273 - 284 Year of Publication: 2000 ISBN:0-7923-7339-1 Reagan Moore Kluwer, B.V. Deventer, The Netherlands, The Netherlands

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

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 is next Assignment 2 is due next week No reading this 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

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