+

A2 DataDive 2012Project: African Health OER Network

(AHON)all content in this presentation is licensed under a Creative Commons Attribution CC:BY license.

group: content-focus

+original sources:

RESEARCH QUESTIONS:

How often are the resources being accessed? From where? When?

Can we see geographically how the resources are being disbursed?

How actively engaged are our content creators?

Etc.

DATA

Google Analytics data

Youtube analytics/stats – geographic, text fields, engagement

CiviCRM data on material creators, events

Detailed word doc describing data

+ two groups:

INDIVIDUALS

(Gin Corden, Lettie Malan, Rodger Devine, Mandar Gokhale, Kathleen Omollo [client])

TOOLS USED:

- R

- Convert from CVS to Pajek

- Pajek

- GUESS

- GEFI

- Google Fusion

CONTENT(Jude Yew, Brian Vickers, Derrick Lin, Whitney K, Lidia, Tawfig, Jackie Cohen, Kathleen Omollo [client])

TOOLS USED:

- R

- SAS

- SPSS

- Excel

- 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)

engagement in top 10 youtube videos

Video 1Episiotomy Repair: Infiltration anaesthesia at the time of crowning

Video 2 Real-Time Polymerase Chain ReactionVideo 3 Enzyme-Linked Immunosorbent AssayVideo 4 Intro to Polymerase Chain Reaction

Video 5Examination of the Pregnant Woman: Examination of the chest

Video 6Examination of the Pregnant Woman: Examination of the pregnant abdomen

Video 7 Enzyme immunoassay to detect antigens

Video 8Examination of the Pregnant Woman: Reporting the Obstetric Abdominal Examination

Video 9 Caesarean Section: Closure of the abdomenVideo 10 Episiotomy Repair: Episiotomy and delivery of the baby

Video Legend

+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?