data

Organizational Open Data Policy Discussion Guide

AO: I facilitated an internal org group discussion around the kinds of terms that staff felt an organizational data sharing policy should include. This is the guide that was used for the discussion.Read more

Mawazo Institute. 2020. “Survey Findings on the Impact of COVID-19 on Africa’s Higher Education System.” Nairobi, Kenya: Mawazo Institute.

AO: This report foregrounds results from an online survey with 501 respondents conducted by Nairobi-based Mawazo Institute in April 2020.Read more

AO. Thick documentation of context and non-verbal cues

AO: This interlocutor perceived "good quality" qualitative data to be signaled through "thick" documentation which would include background context on the interpersonal relationship between the...Read more

2020_SEPT_24 WRITING MEETING_Transcript

Angela Okune 0:24 This is the core group, we may have one or two more people slip on. ... So this call, for context, is our second call after we decided that we're gonna write together and that we decided we're going to focus on the dissertation chapter. And that will hopefully turn into the...Read more

Worldometer as Data Source for "Africa"

AO: There is very little transparency on this site about the sources for this data. The only section where I was able to find links to a source (other than the Google data) was the second data...Read more

Nation Article: "Do Health Ministry Figures on Covid-19 Really Add Up?"

This news article published in the Nation online highlighted questions that we have discussed amongst some members of the RDS group regarding the accuracy of the official COVID-19 statistics in the country. Most noticably, how can the number of new cases exceed that of the total cumulative cases...Read more

Angela Okune, S. Adebowale, E. Gray, A. Mumo, and R. Oniang'o. "Discussion on Open Access (in Africa)," [Transcript], 2020, Research Data Share.

Discussion on Open Access in Africa

March 31, 2020

4:00 PM - 6:00 PM Nairobi

Participants (listed alphabetically):

AOk. "...if you torture the data, for long enough, you can get it to confess to almost anything"

This quote (see copy-pasted below) articulates why using machine learning is more robust... because "if you torture the data, for long enough, you can get it to confess to almost anything."...Read more

AO. "the more info, the easier to identify the person, but the less info, the less value for the researcher..."

AO: The interlocutor raised the double bind of anonymization of qualitative data:

"BC-MW-F-S-02 6:01
So internally I would want all of this information. So when even I can see anonymized...Read more

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