Title

Immunization Agenda 2030 (IA2030) 1st Movement Full Learning Cycle (FLC 2022) – “How are you doing?” Value Creation Stories Survey (Version 1.0)

Research audience

Education researchers interested in the application of the “value creation stories” (VCS) conceptual framework elaborated by Etienne Wenger et al. in the study of communities of practice and other types of digital communities.

Credits

Author

The Geneva Learning Foundation 18 avenue Louis Casaï CH-1209 Geneva, Switzerland research@learning.foundation

Principal Investigator and corresponding author

Reda Sadki, The Geneva Learning Foundation (TGLF) reda@learning.foundation

Project partners

Bridges to Development University of South Australia Centre for Change and Complexity in Learning (C3L)

Roles and responsibilities

• Design: The Geneva Learning Foundation
• Implementation (sample collection): The Geneva Learning Foundation
• Processing: The Geneva Learning Foundation, Bridges for Development, Centre for Complexity and Change in Learning (C3L)
• Anonymization: The Geneva Learning Foundation and Bridges for Development
• Data cleaning: Bridges to Development
• Submission: The Geneva Learning Foundation

Funding sources or sponsorship that supported the data collection

Wellcome, Bill & Melinda Gates Foundation (BMGF)

Recommended citation

The Geneva Learning Foundation, 2023. Value Creation Stories (VCS) weekly feedback survey, 2022 Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) (Version 1.0). [Data Set]. The Geneva Learning Foundation. DOI: 10.5281/zenodo.7763922

Description of the sample

File list:

This file is IA2030_FLC_2022_Value_Creation_Stories.README.md

IA2030-EN_FLC_2022_Value_Creation_Stories-questions_mapping.csv : List of the survey’s questions and their code in English as well as their unit. (21 questions) - Version 1: Geneva Learning Foundation, 31 March 2023.

IA2030-EN_FLC_2022_Value_Creation_Stories.csv : Dataset Response of participants that replied in English. (n: 2101, obs:5601) - Version 1: Geneva Learning Foundation, 31 March 2023.

IA2030-FR_FLC_2022_Value_Creation_Stories-questions_mapping.csv: List of the survey’s questions and their code in English as well as their unit. (21 questions) - Version 1: Geneva Learning Foundation, 31 March 2023.

IA2030-FR_FLC_2022_Value_Creation_Stories-Google_translation.csv: Dataset Response of participants that replied in French translated to English using “Google Translate” (n: 1585, obs:4493) - Version 1: Geneva Learning Foundation, 31 March 2023.

IA2030-FR_FLC_2022_Value_Creation_Stories.csv: Dataset Response of participants that replied in French (n: 1585, obs:4493) - Version 1: Geneva Learning Foundation, 31 March 2023. Relationship between files: The questions codes data set are the same code as the column variables and can be connected.

Relationship between files

The questions codes data set are the same code as the column variables and can be connected.

Related data sets

This is a subset of data collected by The Geneva Learning Foundation (TGLF) during the 1st IA2030 Full Learning Cycle (FLC). The complete data set is more comprehensive, and includes: demographic information (gender, country), health system information (respondent’s health system level), respondents’ analyses of challenges and priorities.

Additional data sets for the first Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) are available from The Geneva Learning Foundation (TGLF) Insights Unit insights@learning.foundation

Other publicly accessible locations of the data

The Geneva Learning Foundation publishes data sets in relation to its Immunization Agenda 2030 (IA2030) Movement learning programme in the Zenodo open repository community: https://zenodo.org/communities/ia2030/

1. Purpose and Objectives

Primary goal of the survey:

This survey had two goals in the context of TGLF’s IA2030 Movement Full Learning Cycle programme (2022): 1. Provide an asynchronous mechanism for support between peers (participants) and from the TGLF team; and 2. collect and measure programme participants’ value creation stories (VCS) during the programme.

Martin de Laat’s “value creation stories” (VCS) has been used primarily in small-scale, qualitative studies of communities of practice, online forums, and education activities.

This data set includes both quantitative (Likert) and qualitative (open text) responses to the VCS questions, collected over a period of four months (7 March – 20 June 2022) from a cohort that began with 6,185 participants on the start date.

2. Population and Sample

The target population were participants of the Geneva Learning Foundation’s Movement for Immunization Agenda 2030 (IA2030) learning programme. The initial cohort admitted to the programme was 6,185 individuals from 99 countries. Only participants who were formally admitted to the programme received the invitation to complete the survey.

Programme participants were free to choose if and when to report (self-selection), and their responses were not checked against any other measures (self-reporting).

Languages: French and English

3. Survey Design and Methods

Data collection period: 7 March 2022 – 20 June 2022

Between 7 March and 20 June 2023, participants in the Geneva Learning Foundation’s “Immunization Agenda 2030” (IA2030) Movement Full Learning Cycle (FLC) were asked to respond to a questionnaire titled “How are you doing?”.

Participants received a personalized email with the request to share feedback about their experience during the week. The link to share feedback was also included in other reminder and information emails sent in response to participant needs.

The first survey was launched on the 11 of March 2022 and the last at 17 of March 2022, totalizing 15 requests. Participants could answer the survey at any time and as many times that they wished.

The group of 6,185 participants grew over the course of the Cycle, as additional participants were able to join the initiative throughout the four-month period.

Software- or Instrument-specific information needed to interpret the data

• Automated translation of French data was performed using Google Translate
• Methods used for removing or anonymizing personal identifiers or sensitive information:
• Unique identifier: Unique identifiers were anonymized using MD5 Hashing via the web site Miracle Salad.Unique identifiers can be used to identify respondents who may have answered the survey more than once, at different points in time. This approach provides a method to anonymize sensitive data using MD5 hashing.*Limitation: MD5 hashing is a one-way function; it is not possible to dehash the data and recover the original information.**
• Macros developed in Excel to replace Country names in qualitative responses. (No country information were collected in this survey, but some respondents referred to their specific contexts in their responses.) The macro did not account for typos, in case any country information is found please contact: research@learning.foundation

Data collection start and end dates:

7 March 2023 until 20 June 2023

Events or circumstances during data collection that may have influenced results:

No requests for responses were sent during TGLF’s “Term break” between 16-30 April 2022.

4. Data Processing and Cleaning

• Incomplete or inconsistent responses: Not cleaned, as respondents were able to opt out of specific sections of survey or skip questions.
• Data transformations or imputations: None
• Treatment of outliers or extreme values: None

5. Variables and Measures

The survey included Likert scale questions and qualitative open texts based the conceptual framework for Value Creation Stories (VCS) developed by Wenger et. al. (2011). There are no derived or calculated variables. Items are Likert scale, multiple choice, and open text.

6. Data Quality and Reliability

All the responses done before or after the FLC period (7 March – 20 June 2022) were excluded of the sample.

7. Data Privacy and Anonymization

Methods used for removing or anonymizing personal identifiers or sensitive information:

• Unique identifier: Unique identifiers were anonymized using MD5 Hashing via the web site https://www.miraclesalad.com/webtools/md5.php. Unique identifiers can be used to identify respondents who may have answered the survey more than once, at different points in time. This approach provides a method to anonymize sensitive data using MD5 hashing.
• Limitation: MD5 hashing is a one-way function; it is not possible to dehash the data and recover the original information.
• Macros developed in Excel to replace Country names in qualitative responses. (No country information were collected in this survey, but some respondents referred to their specific contexts in their responses.)

8. Data Availability and Accessibility

This data set is made available on Zenodo.org in the Zenodo community “Movement for Immunization Agenda 2030 (IA2030)” https://zenodo.org/communities/ia2030/

Requests for additional information should be addressed to research@learning.foundation.

This is a subset of data collected by The Geneva Learning Foundation (TGLF) during the 1st IA2030 Full Learning Cycle (FLC).

The complete data set is more comprehensive, and includes: demographic information (gender, country), health system information (respondent’s health system level), respondents’ analyses of challenges and priorities.

Other publicly accessible locations of the data

The Geneva Learning Foundation publishes data sets in relation to its Immunization

A dataset was compiled to elicit the reactions of a group of deaf people to their experience of watching a colloquial Egyptian movie subtitled intralingually into Modern Standard Arabic (MSA). The researchers designed a survey that includes two sections. The first section contains demographic information, including gender, education level, age, and MSA reading speed. The second section comprises five main constructs: (1) movie watching habits, (2) technical aspects, (3) linguistic and paralinguistic information, (4) attitude, and (5) future actions and recommendations. The researchers contacted two centers for the deaf in Egypt and Egypt to provide them with the contact details of some of their members who are willing to take part in the study. They were sent a Google Drive link that includes the Egyptian movie Boushkash with Netflix MSA subtitles. The members were then asked to fill in a Likert-type questionnaire that is designed using Microsoft Forms. Snowball sampling method was also used as the researchers asked the respondents to share the links with their deaf fellows. Responses from 126 participants were received. The responses of 20 participants were used for piloting, i.e., to examine the questionnaire's reliability, while the remaining 106 respondents were used in the dataset of the present study. The percentage of respondents who either 'Strongly Agreed' or 'Agreed' with the item was calculated. In addition, the standard error of the mean "M (S.E.)" for each item was also calculated. The data will be useful for translators and subtitlers interested in examining the impact of intralingual subtitles on the audience with hearing impairment. Policymakers and governments can use the data to identify the needs of this minority group and take action to force national T.V. channels to add intralingual translation to their various programs.

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