In "Data science can fix ranking briar patch" (The Australian, 14 March 2018), Tim Dodd suggests that data science could be used to rank universities, but this has been done for years with the "Ranking Web of Universities". Their methodology emphasizes the quality and quantity of information universities provide online (which I think is a good thing). This produces slightly different rankings for Australian universities, to measures emphasizing research output behind pay-walls.
For its top ten Australian institutions the QS World University Rankings has: ANU, Melbourne, UNSW, Queensland, Sydney, Monash, UWA, Adelaide, UTS and Newcastle. On the Ranking Web of Universities, ANU slips from first to fifth place, while UTS and Newcastle displace Curtin, and Macquarie in the bottom two places.
For its top ten Australian institutions the QS World University Rankings has: ANU, Melbourne, UNSW, Queensland, Sydney, Monash, UWA, Adelaide, UTS and Newcastle. On the Ranking Web of Universities, ANU slips from first to fifth place, while UTS and Newcastle displace Curtin, and Macquarie in the bottom two places.
Australian Web ranking | World Web Rank | University | QS Australian Rank | Presence Rank* | Impact Rank* | Openness Rank* | Excellence Rank* |
---|---|---|---|---|---|---|---|
University of Melbourne | 2 | ||||||
University of New South Wales | 3 | ||||||
University of Queensland | 4 | ||||||
University of Sydney | 5 | ||||||
Australian National University | 1 | ||||||
Monash University | 6 | ||||||
University of Adelaide | 8 | ||||||
University of Western Australia | 7 | ||||||
Curtin University of Technology | 15 | ||||||
Macquarie University | 12 |
No comments:
Post a Comment