secondary data analysis

18
Secondary Data Analysis of the Asian Football Cup 2011 : Goal Scoring and FIFA Ranking Keith Lyons University of Canberra, Australia

Upload: keith-lyons

Post on 25-May-2015

780 views

Category:

Sports


6 download

DESCRIPTION

A paper presented at the IACSS2011 Symposium in Shanghai, September.

TRANSCRIPT

Page 1: Secondary Data Analysis

Secondary Data Analysis of the Asian Football Cup 2011:

Goal Scoring and FIFA Ranking

Keith LyonsUniversity of Canberra, Australia

Page 2: Secondary Data Analysis
Page 3: Secondary Data Analysis

• Increasing availability of public data …

• Supporting secondary data analysis …

• Raising questions about curation

Main Points of This Presentation

Page 4: Secondary Data Analysis
Page 5: Secondary Data Analysis

• 90 goals were scored in the whole Tournament.

• 64 goals were scored in 24 Group Games.

• 26 goals were scored in the 8 Knockout Games.

Page 6: Secondary Data Analysis

• December 2010 FIFA rankings were used to record performance against ranking in the Tournament.

• Higher ranked teams won 21 games, drew 4 games and lost 7 games.

• Saudi Arabia, Kuwait, China PR, Jordan and Australia lost to lower ranked teams.

Page 7: Secondary Data Analysis

The team that scored first won or drew 28 of 31 games played.

(There was one game that ended 0-0.)

Page 8: Secondary Data Analysis
Page 9: Secondary Data Analysis

• Researchers are able to access rich data about performance from websites …

• They are managing the risk of using these data services …

• The availability of these data will nourish the growth of secondary data and meta analysis research.

Page 10: Secondary Data Analysis

• In addition to the validity, reliability and accuracy of the data …

• There must be a strategic approach to the curation of Uniform Resource Identifiers (uri), Uniform Resource Locators (url) and Uniform Resource Names (urn) …

Page 11: Secondary Data Analysis

PURL

Page 12: Secondary Data Analysis

… are Uniform Resource Locators (urls) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure.

This provides continuity of references to network resources that may migrate from machine to machine for business, social or technical reasons.

Page 13: Secondary Data Analysis
Page 14: Secondary Data Analysis

This brief paper is presented as a contribution to the discussion of consuming, learning about, creating and sharing web resources.

Page 15: Secondary Data Analysis

Produsing(Produce and Use)

Page 16: Secondary Data Analysis

We need to consider our roles as creators and curators of shared resources.

Page 17: Secondary Data Analysis