A2DataDive: African Health OER Network - Content Focus
+ A2 DataDive 2012 Project: African Health OER Network group: content-focus (AHON)all content in this presentation is licensed under a CreativeCommons Attribution CC:BY license.
+ original sources: RESEARCH QUESTIONS: DATA How often are the resources Google Analytics data being accessed? From where? When? Youtube analytics/stats – geographic, text Can we see geographically how fields, engagement the resources are being disbursed? CiviCRM data on material creators, events How actively engaged are our content creators? Detailed word doc describing data Etc.
+ two groups: INDIVIDUALS & (Gin Corden, Lettie Malan, Rodger Devine, Mandar Gokhale, Kathleen CONTENT Omollo [client]) (Jude Yew, Brian Vickers, Derrick TOOLS USED: Lin, Whitney K, Lidia, Tawfig, Jackie Cohen, Kathleen Omollo [client]) -R TOOLS USED: - Convert from CVS to Pajek - R - Pajek - SAS - GUESS - SPSS - GEFI - Excel - Google Fusion - Python
+ several projects overall word frequency word frequency by video, content by video top 10 Youtube Videos – engagement by country site traffic trends viewers’ gender and age trends
+ tools used R, and various R libraries GraphViz .csv files and text input SAS SPSS Excel Python Wordle …and various knowledge/ideas/energy
+ specific output Visualizations of word frequency in Youtube comments Plots and boxplots of engagement types by country and continent Charts of site traffic trends KPI (Key Performance Indicator) charts Beginnings of R and Python scripts to produce data that may be used for new visualizations and statistical analyses
visualization of greatest word frequency in AHON Youtube video comments – from wordle.com
video comment word frequency – stacked histogram (R, ggplot)
Video Legend Episiotomy Repair: Infiltration anaesthesia at the time ofVideo 1 crowningVideo 2 Real-Time Polymerase Chain ReactionVideo 3 Enzyme-Linked Immunosorbent AssayVideo 4 Intro to Polymerase Chain Reaction Examination of the Pregnant Woman: Examination of theVideo 5 chest Examination of the Pregnant Woman: Examination of theVideo 6 pregnant abdomenVideo 7 Enzyme immunoassay to detect antigens Examination of the Pregnant Woman: Reporting theVideo 8 Obstetric Abdominal ExaminationVideo 9 Caesarean Section: Closure of the abdomenVideo 10 Episiotomy Repair: Episiotomy and delivery of the baby
+ some take-away points There may be different values attached to different forms of engagement in different areas of the world – meaning different takeaways from content analysis AHON can look at trends of language in comments (for example) by video Access to answers to questions like: what videos are people most outwardly grateful for? In what videos is the content being most discussed, and which content? With access to scripts like these, AHON in turn has access to data which can more easily be displayed and analyzed
+ questions for further research What does the variety of engagement with video content by geography suggest? Can site traffic and time depth information be measured more accurately or should it be measured differently? Is there surprising data regarding gender, age, demographic information with respect to engagement with content? How can AHON best use increased knowledge about network connections in combination with content engagement and views?