1 / 16

Evidence, Impact, Metrics Social Web Services: Evidence for Their Value

Twitter: #ukolneim. http://www.ukoln.ac.uk/web-focus/events/workshops/eim-2010-12/. Evidence, Impact, Metrics Social Web Services: Evidence for Their Value. Acceptable Use Policy

kapono
Download Presentation

Evidence, Impact, Metrics Social Web Services: Evidence for Their Value

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Twitter:#ukolneim http://www.ukoln.ac.uk/web-focus/events/workshops/eim-2010-12/ Evidence, Impact, MetricsSocial Web Services: Evidence for Their Value Acceptable Use Policy Recording this talk, taking photographs, discussing the talk using Twitter, IM, etc. is permitted if distractions to others are minimised. Brian Kelly UKOLN University of Bath Bath, UK Blogs: Twitter: http://ukwebfocus.wordpress.com/ @briankellyhttp://blogs.ukoln.ac.uk/evidence-impact-metrics/ @ukwebfocus (automated) UKOLN is supported by: This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 licence (but note caveat)

  2. Timetable

  3. Beyond The Institution Introduction Cloud and Social Web services: • Provision of content delivery services • Popular & well-used • Free institutional effort (& tax-payers money) to do other work • Must-use solution in today’s technical/economic context Or: • Selling our users’ eyeballs to advertisers • Risky – services may not be sustainable • Dangers of lock-in and deferred costs • Must avoid – need to be able to own & manage key technical infrastructure

  4. Today’s Session Relevance of Cloud & Social Web services for today: • Determined by evidence (not advocacy) • Social Web can be cost-effective: • How? • How much • What are savings? • What are the intangible benefits? • … • Scenarios: • Headline 1: Unis waste millions on in-house social media when free services available! • Headline 2: Students pay £9,000 p.a. to watch YouTube video & chat on Facebook!

  5. Benchmarking: Facebook 8,000 today Introduction Surveys of Facebook usage in UK HEIs • “In Nov 2007 76 hits for ‘university’ including Aston, Cardiff, Kent and UCLan” • See post on “UK Universities On Facebook” • 31 comments; discussion on ‘unauthorised’ claims

  6. Benchmarking: Facebook Seven months later: • “Revisiting UK University Pages On Facebook” post,16 June 2008 • Identified 8 most ‘popular’ UK University on Facebook 7,539 2,976 1,116 • Post published 4 days after news that Fb is now most popular Social Network • Marketing potential trumps Fb concerns? • “I still can’t see any hard data that justifies time and effort spent in managing data natively inside facebook”

  7. Benchmarking: Facebook “Planet Facebook Becomes Less of a Walled Garden” survey in October 2010: • Revisiting institutions from 2008 survey • Significant growth in Cardiff (13,000%), Surrey (540%) & OU (380%) • “I still can’t see any hard data that justifies time and effort spent in managing data natively inside facebook” • Is: • The hard data now available • Supportive data available which needs further analysis?

  8. Benchmarking: iTunes U “What Are UK Universities Doing With iTunes U?” • Survey published in Oct 2010 • 16 UK colleges with iTunes U presence • Comments on perceived benefits (cost, audience, ease-of-use, downloads, …) Discussion on openness; lock-in & costs – but not on evidence of ROI

  9. Benchmarking: YouTube Edu “How is the UK HE Sector Using YouTube?” • Survey published Oct 2010 • 16 institutions with official presence • Page provides stats on visits, nos. of videos, downloads, fans, comments, ….

  10. Benchmarking: YouTube Edu Note blog post led to discussions on best practices; other institutional & departmental channels, …

  11. Other Work (1) Small-scale monitoring of use of personal tools: • UK Web Focus blog registered on Technorati and Wikio • Usage statistics for slides on Slideshare

  12. Other Work (2) Small-scale monitoring of use of personal tools: • Twitter stats using various service (e.g. Twitoaster) • Bit.ly for stats on clicks from tweets

  13. Questions Any questions or comments? • Next two case studies: • “iTunes U: is it Worth it?”, Jeremy Speller • “Media Services in the Cloud”, Sarah Sherman 13:45-14.25

  14. Note: Informed by case studies Discussion Initial approach has been recording evidence of: • Early adopters • Usage and related statistics • Indications of purpose(s) of services • Trends (for Facebook growth) What next: • More comprehensive surveys across sector (who does this?, how?, why?) • Alternative / complementary approaches? • How to relate to impact and value?

  15. Scenario for Discussion PVC requests evidence of value of institutional use of Cloud Services including the Social Web following tabloid headlines You need to identify: • Ways of gathering such evidence • Ways of interpreting such evidence • Concerns regarding dangers of (mis-)use of such evidence • Opportunities provided in aggregation of such evidence 14:25-15.00

  16. Questions Any questions or comments?

More Related