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Intro          Data             Visualisation                       Kitchen

Data Visualisation: An OER Taster
Martin Hawksey (@mhawksey)                   This work is licensed under a Creative
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                                               License. CC-BY Martin Hawksey
This work is licensed under a Creative
 Commons Attribution 3.0 Unported
  License. CC-BY Martin Hawksey
http://bit.ly/iwmw12P3




                         This work is licensed under a Creative
                          Commons Attribution 3.0 Unported
                           License. CC-BY Martin Hawksey
Analytics

"Analytics is the process of developing actionable
    insights through problem definition and the
   application of statistical models and analysis
  against existing and/or simulated future data.“
                                      Adam Cooper
    http://blogs.cetis.ac.uk/adam/2012/04/27/analytics-and-big-data-reflections-from-the-teradata-
                                                                      universe-conference-2012/




                                                                               This work is licensed under a Creative
                            http://mashe.hawksey.                               Commons Attribution 3.0 Unported
                                                                                 License. CC-BY Martin Hawksey

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Making the complex less complicated: An introduction to social network analysis
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Presented at ILTA EdTech 2017, Sligo, Ireland Supporting posthttps://mashe.hawksey.info/?p=17538 Patterns are left behind. Whether it be replies to a discussion forums, interactions on social media or ingredients in cocktails links can be made and the data used for actionable insight. Network science is one approach that takes these seemingly complex connections and through the use of mathematical methods make it easier to understand. Network science is a well established discipline and it’s origins can be traced to 1736 and the work of Leonhard Euler. The area of social network analysis is a more recent development established in work by Moreno and Jennings in the 1930s. Accessibility to affordable computing in the 1990s combined with data from early social networks like IRC has led to an explosion of interest in social network analysis. This has continued with the emergence of social networking sites like Facebook and Twitter combined with accessibility to the underlying data. The use of network science and social network analysis within educational contexts has seen similar growth. The emergence of ‘Learning Analytics’ as a field of study has highlighted how data can be used to enhance learning and teaching. With social network analysis we can take seemingly complex relationships and making them less complicated. Common applications of network analysis in this area include: identification of isolated students within group activities; identification of people or concepts which are ‘network bridges’; clustering of categorisation of topics; plus numerous other applications. This presentation is designed to be an introduction into network analysis allowing delegates the opportunity to understand the underlying structure of the graph as well as some of the tools that can be used to construct them. The session will begin with an introduction to key network analysis terms and go on to introduce some of the tools and techniques for social network analysis, specifically looking at how data can be collected and analysed from Twitter using tools like TAGS and NodeXL.

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Measuring Social Media Impact: Google Analytics and Twitter
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Google Apps Script the Authentic{ated} Mobile Playground
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Presentation given at the Edinburgh Mobile Dev Meetup on 15 Feb 2017 highlighting some features of Google Apps Script which may be of interest to mobile developers. A video recording of the session is available at https://youtu.be/N9WUVzLmaJo?t=39m54s

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Data Scientist

    "a business analyst who lives in California“

 “someone who: wants to know what the question
  should be; embodies a combination of curiosity,
   data gathering skills, statistical and modelling
    expertise and strong communication skills”
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  http://blogs.cetis.ac.uk/adam/2012/04/27/analytics-and-big-data-reflections-from-the-
                                                   teradata-universe-conference-2012/




                                                                       This work is licensed under a Creative
                         http://mashe.hawksey.                          Commons Attribution 3.0 Unported
                                                                         License. CC-BY Martin Hawksey
Background

   To „visualise‟ the JISC/HEA Open Educational
    Resources (OER) Phase 1 & 2

   Summary post with links http://bit.ly/OERVis




                                           This work is licensed under a Creative
                 http://mashe.hawksey.      Commons Attribution 3.0 Unported
                                             License. CC-BY Martin Hawksey
Refining Jorum/OAI Harvesting

   Details of everything I‟m about to show you is
    here




     http://bit.ly/refinejorum

                                           This work is licensed under a Creative
                 http://mashe.hawksey.      Commons Attribution 3.0 Unported
                                             License. CC-BY Martin Hawksey
http://dspace.jorum.ac.uk/xmlui/handle/123456789/15853




                                                  This work is licensed under a Creative
                                                   Commons Attribution 3.0 Unported
                                                    License. CC-BY Martin Hawksey

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This talk highlights how you can easily interact with your CiviCRM via the API interface with a new Google Apps Script library. Google Apps Script is a free programming environment in Google Drive that allows you to easily integrate with Google Docs, Forms, Sheets, other Google products and third party services. Using Apps Script gives you the flexibility and power of tools like Google Sheets to push, extract or analyse data and integrate this with your CiviCRM installation via the CiviCRM API. Example uses could include using shared Google Sheets to record information which is pushed into your CiviCRM, initiating cases from Gmail triggers and more.

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he master class is designed to help users get more out of their Google Analytics setup and reporting. The session will be an opportunity to workout where you are at with you Google Analytics setup and usage. As part of this there will be an opportunity for: * An overview of Google Analytics and tracking principles * Learning about Google Tag Manager which can be used to remove some of the headache around setting up GA event tracking * Automated Google Analytics reporting using Google Sheets/Google Sites * Emerging GA uses you might not have considered before

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Extracting and analyzing discussion data with google sheets and google analytics
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Online discussions can be a rich source of data for researchers in the humanities and social sciences. In this workshop, participants will learn how to use Google Sheets to push online discussion board data into Google Analytics, where it can be analysed. The session will also demonstrate how to use TAGS, the widely-used script for archiving Twitter data. Participants can bring their own laptops if they wish; there will also be desktop PCs for use. Please note: if you’re not staff or student at the University of Edinburgh, you will need to obtain a temporary login from the registration desk in advance.

digscholed
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http://mashe.hawksey.    Commons Attribution 3.0 Unported
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Google Refine and OAI-PMH




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             http://mashe.hawksey.    Commons Attribution 3.0 Unported
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Looking at creativity and culture in computer science to inspire better educa...
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forEach(value.parseHtml().select("dc|
creator"),v,v.htmlText()).join(",")




                                   This work is licensed under a Creative
           http://mashe.hawksey.    Commons Attribution 3.0 Unported
                                     License. CC-BY Martin Hawksey
if(contains(value.toLowercase(),"univ
ersity"),filter(value.toLowercase().s
plit(/[-
,.;()]|(s+for+s)+/),v,contains(v,
"university"))[0].trim(),if(contains(
value.toLowercase(),"centre"),value.t
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           http://mashe.hawksey.    Commons Attribution 3.0 Unported
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Reconciliation




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What was achieved

   Jorum contains 9,502 unique records containing
    „ukoer‟ of which 8,859 can be reconciled against
    institution names
   With institution name
    A.   Can see contributions per institution
    B.   Can get location data




                                                 This work is licensed under a Creative
                                                  Commons Attribution 3.0 Unported
                                                   License. CC-BY Martin Hawksey
Combine

   Pages access counts
   Social share counts (very little sharing or
    repository records)




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                  http://mashe.hawksey.       Commons Attribution 3.0 Unported
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                          License. CC-BY Martin Hawksey
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http://mashe.hawksey.    Commons Attribution 3.0 Unported
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Pie

http://nyti.ms/c2C09A




            This work is licensed under a Creative
             Commons Attribution 3.0 Unported
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Tools/Libraries


•   Tools                    •   Libraries
    –   Google Refine            –   timemap.js
    –   Google                   –   RaphaelJS
        Spreadsheets             –   d3
    –   R/RStudio                –   SIMILE Timeline
    –   NodeXL & Gephi           –   Google
    –   Gource                       Visualisation

                                               This work is licensed under a Creative
                  http://mashe.hawksey.         Commons Attribution 3.0 Unported
                                                 License. CC-BY Martin Hawksey
Data Use == Data
   Validation


                           This work is licensed under a Creative
   http://mashe.hawksey.    Commons Attribution 3.0 Unported
                             License. CC-BY Martin Hawksey
Questions?




                Martin Hawksey
                 @mhawksey

   Summary post with links http://bit.ly/OERVis


                                         This work is licensed under a Creative
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Data Visualisation: An OER Taster

  • 1. Intro Data Visualisation Kitchen Data Visualisation: An OER Taster Martin Hawksey (@mhawksey) This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 2. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 3. http://bit.ly/iwmw12P3 This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 4. Analytics "Analytics is the process of developing actionable insights through problem definition and the application of statistical models and analysis against existing and/or simulated future data.“ Adam Cooper http://blogs.cetis.ac.uk/adam/2012/04/27/analytics-and-big-data-reflections-from-the-teradata- universe-conference-2012/ This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 5. Data Scientist "a business analyst who lives in California“ “someone who: wants to know what the question should be; embodies a combination of curiosity, data gathering skills, statistical and modelling expertise and strong communication skills” Adam Cooper http://blogs.cetis.ac.uk/adam/2012/04/27/analytics-and-big-data-reflections-from-the- teradata-universe-conference-2012/ This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 6. Background  To „visualise‟ the JISC/HEA Open Educational Resources (OER) Phase 1 & 2  Summary post with links http://bit.ly/OERVis This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 7. Refining Jorum/OAI Harvesting  Details of everything I‟m about to show you is here http://bit.ly/refinejorum This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 8. http://dspace.jorum.ac.uk/xmlui/handle/123456789/15853 This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 9. This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 10. Google Refine and OAI-PMH This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 11. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 12. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 13. forEach(value.parseHtml().select("dc| creator"),v,v.htmlText()).join(",") This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 15. Reconciliation This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 16. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 17. What was achieved  Jorum contains 9,502 unique records containing „ukoer‟ of which 8,859 can be reconciled against institution names  With institution name A. Can see contributions per institution B. Can get location data This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 18. Combine  Pages access counts  Social share counts (very little sharing or repository records) This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 19. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 20. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 21. This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 22. This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 23. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 24. http://bit.ly/jorumspreadsheet http://mashe.hawksey. This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 25. http://nyti.ms/c2C09A This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 26. Tools/Libraries • Tools • Libraries – Google Refine – timemap.js – Google – RaphaelJS Spreadsheets – d3 – R/RStudio – SIMILE Timeline – NodeXL & Gephi – Google – Gource Visualisation This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 27. Data Use == Data Validation This work is licensed under a Creative http://mashe.hawksey. Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey
  • 28. Questions? Martin Hawksey @mhawksey Summary post with links http://bit.ly/OERVis This work is licensed under a Creative Commons Attribution 3.0 Unported License. CC-BY Martin Hawksey