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Co-Creating Data Literacy
IFRC Data Playbook - Social Learning Collection
Convening a Data Literacy Consortium
Heather Leson
IFRC Data Literacy Lead
Humanitarian Network Partnership Week
February 4, 2019
@Federation
Co-Creating Data Literacy
Javier Teran, Centre for Humanitarian Data
@humdata
Data can lead to:
Information Knowledge
EvidenceDecisions
Connect Learn Create Measure
Data Literacy Program
Feed the data curious, act with the data ready, learn by doing
Our Data Audiences
IFRC has diverse audiences across the sectors and regions. We’ve tailored
content based on these audiences.
● Data Curious need an ‘on ramp’ to learn and be exposed to the data
basics.
● Data Advocate sees relevance and and wants to improve their skills
and/or offer support.
● Data Active are motivated to self-learn and are on their way to being a
‘data-leader’.
● Data Ready are ‘trainers’ or ‘data leaders’ who lead data-driven
projects and mentor colleagues.
A playbook is..
● A recipe book or exercise book with examples, best practices, how
to’s, slides, session plans, training materials, matrices, scenarios, and
resources.
● Social, modularized content that can be used in a 'pick-and-choose’
method.
● Visual, remixable, collaborative, useful, and informative.
Our Data Playbook..
● Includes resources for IFRC and National Societies to develop their
literacy around data, including responsible data use and data
readiness.
● Piloted and co-created by 100s of contributors across the IFRC
Secretariat, Regional Offices, National Societies and our partners.
● Easy-to-use for Lunch and Learns – 30 minutes to 1 hour or as part of
existing sector training programs.
What is included?
Exercises - Short, discrete social learning experiences.
Session Plans - Longer social learning experiences.
Checklists - For documentation and revision.
Slidedecks - Slides to be used standalone or as parts of
presentations.
Handouts - short content to be used as standalone or as
parts of presentations.
Next Steps - links to other modules and further reading.
Modules
● Module 1: Data Essentials. What are the essentials for using data?
● Module 2: Data Culture. How do we build a data-friendly culture?
● Module 3: Data-Driven Projects. How do we build data-driven projects?
● Module 4: Responsible Data. How can we protect and use data
responsibly?
● Module 5: Data Viz. How can we create effective data visualizations?
Modules
● Module 6: IM at IFRC. What is Information Management’s role at
IFRC?
● Module 7: Data Sharing. Why should we share and collaborate on
data?
● Module 8: Data Quality & Standards. Why do data standards matter
and how might we address data quality issues?
● Module 9: Data for Leadership. How can we use data for decision-
making?
Impact
Data Simulation – 10 times (Finland, Hungary, Kenya, Nepal. Senegal,
Switzerland (3), Thailand, and Qatar.)
“A lot of good points on issues around accountability and transparency vs.
privacy/protection. examples from our recovery programs about how they
post beneficiary lists in the communities as part of their community
engagement and accountability approach.
Helen Welch, Director Information Management, Monitoring, evaluation, and Learning, International
Services, American Red Cross (Bangkok, Thailand event.)
Apple Exercise – “"The apple exercise is really good to introduce the
concept of data at the beginning of the training, so the participant feels
confident to speak about something they know."
Fanor Andres Camacho Orejuela, Information Management Delegate, IFRC Americas
The mission of the Centre is to
increase the use and impact of data
in humanitarian response.
Focus Areas for the Centre
Data Services Data Policy Data Literacy
Network
Engagement
Enabling the sharing of data with the Humanitarian Data
Exchange
Creating interoperability with the Humanitarian
Exchange Language
Supporting transparency in financial data with the
International Aid Transparency Initiative
Data
Services
HDX: Humanitarian Data Exchange
(data.humdata.org)
HXL: Humanitarian Exchange
Language (hxlstandard.org)
International Aid Transparency
Initiative (IATI)
Increasing capability of people to access + use data
in support of humanitarian efforts
In-person + remote training programmes for
technical + non-technical users of data
Data
Literacy
Left: Amman Data Workshop with OCHA’s ROSC and Yemen IM Units
Middle: Data Skills Workshop in Dakar with Federation
Right: Data Skills Workshop in Nairobi with Federation
The aim: Identify data champions who could help
address and provide solutions for the humanitarian data
challenges the sector is facing.
40+ participants
20 organisations from Somalia, South Sudan, Kenya
50% of attendees were women
Nairobi
Data Skills
Workshop,
March 2018
Data Skills Workshop in Nairobi with the Federation
Peer-to-peer networking
Co-creating models for sharing data
Data skills mapping of the East Africa community
Understanding data for decision making
Increased awareness of HDX, HXL and the Centre
Nairobi
Data Skills
Workshop:
Outcomes
Data Skills Workshop in Nairobi with Federation
Data
Literacy:
Research
Data Literacy Workshop in The Hague
Data skills survey (15-25 January 2019)
36
-
Survey questions
1084
-
Completed
responses
111
-
Countries and
regions represented
ACTIVITIES
Responsibilities vary
broadly by role,
however there is
coverage across all
tasks related to data.
As expected analysing
data is the most
commonly reported
task.
Activities
Which of the following aspects of data are you typically
involved in?
CHALLENGES
Collecting primary data
and assessing and
improving the quality of
data are the most
commonly reported
challenges.
This is in line with expert
feedback that “people
don’t know what good
looks like, and how to get
there.”
Challenges
Which of the following aspects of data do
you find the most challenging in your work?
MOTIVATIONS
Improving overall
capabilities and using
data to make the
humanitarian response
more effective are the
strongest motivators.
This holds true across
roles.
Which of the following best expresses why you
would be interested in improving your data skills?
Motivations
Engagement Models
Which of the following learning methods should
the Centre for Humanitarian Data offer?
ENGAGEMENT MODELS - WHAT
THE CENTRE SHOULD OFFER
Video tutorials
emerged as most
desired engagement
model across almost all
groups.
Quick learning, self-
paced learning, and
other written material
were also desired,
however responses
varied by role.
Segments
WHO ARE THE PRIORITY AUDIENCES?
WHAT ARE THEIR ACTIVITIES,
STRENGTHS, AND PAIN POINTS? WHAT
DO THEY WANT TO LEARN, AND HOW DO
THEY WANT TO BE ENGAGED?
HQ and Regional
Management1
Heads of Office and
Country Directors2
Country Program
Teams and HAOs3
Data Management
Teams4
Why a Data Literacy Consortium?
● The risks and opportunities that the influx of data and
technology grows. We cannot be bystanders - Humanitarian
Response needs a Data & Digital upgrade
● Upskilling staff and volunteers can improve our work and
localize data workflows
● Partnerships across humanitarian actors,
universities/research and business are critical to success
and sustainable planning
Activity 1: Data Playbook (version 1)
Scale the Data Playbook
● Pilot the content in your organization
● Get the wider, deeper, simpler content help
● Guide the development of content - Advice and support.
● Create new content, integrate other training methods
● Give Feedback
● Identify existing content for the playbook
● Build contribution paths by individual, organization
Activity 2: Workshops/Engagement
Joint training programs
● Building shared content in person and online will reach more
humanitarians. Center for Humanitarian Data (HDX) and
IFRC are already engaged in these activities.
Activity 3: Pilot New Methods
Beyond MOOCs - reaching humanitarians
● Video series - Data for Volunteers, Data For Managers
● SMS tips program
● Data-o-meter - a tool to serve data tips, content and just-in-
time training (push via sms)
Thank you
centrehumdata@un.org
humdata | centre.humdata.org
Information
THANK YOU
Heather Leson
heather.leson@ifrc.org
Data.literacy@ifrc.org
@heatherleson
skype: heatherleson
Data Literacy Consortium
User Group Meeting - February 27, 2019
Sign up - https://www.fabriders.net/data-playbook-user-group/

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Co creating Data Literacy

  • 1. Co-Creating Data Literacy IFRC Data Playbook - Social Learning Collection Convening a Data Literacy Consortium Heather Leson IFRC Data Literacy Lead Humanitarian Network Partnership Week February 4, 2019 @Federation
  • 2. Co-Creating Data Literacy Javier Teran, Centre for Humanitarian Data @humdata
  • 3. Data can lead to: Information Knowledge EvidenceDecisions
  • 4. Connect Learn Create Measure Data Literacy Program Feed the data curious, act with the data ready, learn by doing
  • 5. Our Data Audiences IFRC has diverse audiences across the sectors and regions. We’ve tailored content based on these audiences. ● Data Curious need an ‘on ramp’ to learn and be exposed to the data basics. ● Data Advocate sees relevance and and wants to improve their skills and/or offer support. ● Data Active are motivated to self-learn and are on their way to being a ‘data-leader’. ● Data Ready are ‘trainers’ or ‘data leaders’ who lead data-driven projects and mentor colleagues.
  • 6. A playbook is.. ● A recipe book or exercise book with examples, best practices, how to’s, slides, session plans, training materials, matrices, scenarios, and resources. ● Social, modularized content that can be used in a 'pick-and-choose’ method. ● Visual, remixable, collaborative, useful, and informative.
  • 7. Our Data Playbook.. ● Includes resources for IFRC and National Societies to develop their literacy around data, including responsible data use and data readiness. ● Piloted and co-created by 100s of contributors across the IFRC Secretariat, Regional Offices, National Societies and our partners. ● Easy-to-use for Lunch and Learns – 30 minutes to 1 hour or as part of existing sector training programs.
  • 8. What is included? Exercises - Short, discrete social learning experiences. Session Plans - Longer social learning experiences. Checklists - For documentation and revision. Slidedecks - Slides to be used standalone or as parts of presentations. Handouts - short content to be used as standalone or as parts of presentations. Next Steps - links to other modules and further reading.
  • 9. Modules ● Module 1: Data Essentials. What are the essentials for using data? ● Module 2: Data Culture. How do we build a data-friendly culture? ● Module 3: Data-Driven Projects. How do we build data-driven projects? ● Module 4: Responsible Data. How can we protect and use data responsibly? ● Module 5: Data Viz. How can we create effective data visualizations?
  • 10. Modules ● Module 6: IM at IFRC. What is Information Management’s role at IFRC? ● Module 7: Data Sharing. Why should we share and collaborate on data? ● Module 8: Data Quality & Standards. Why do data standards matter and how might we address data quality issues? ● Module 9: Data for Leadership. How can we use data for decision- making?
  • 11. Impact Data Simulation – 10 times (Finland, Hungary, Kenya, Nepal. Senegal, Switzerland (3), Thailand, and Qatar.) “A lot of good points on issues around accountability and transparency vs. privacy/protection. examples from our recovery programs about how they post beneficiary lists in the communities as part of their community engagement and accountability approach. Helen Welch, Director Information Management, Monitoring, evaluation, and Learning, International Services, American Red Cross (Bangkok, Thailand event.) Apple Exercise – “"The apple exercise is really good to introduce the concept of data at the beginning of the training, so the participant feels confident to speak about something they know." Fanor Andres Camacho Orejuela, Information Management Delegate, IFRC Americas
  • 12. The mission of the Centre is to increase the use and impact of data in humanitarian response.
  • 13. Focus Areas for the Centre Data Services Data Policy Data Literacy Network Engagement
  • 14. Enabling the sharing of data with the Humanitarian Data Exchange Creating interoperability with the Humanitarian Exchange Language Supporting transparency in financial data with the International Aid Transparency Initiative Data Services HDX: Humanitarian Data Exchange (data.humdata.org) HXL: Humanitarian Exchange Language (hxlstandard.org) International Aid Transparency Initiative (IATI)
  • 15. Increasing capability of people to access + use data in support of humanitarian efforts In-person + remote training programmes for technical + non-technical users of data Data Literacy Left: Amman Data Workshop with OCHA’s ROSC and Yemen IM Units Middle: Data Skills Workshop in Dakar with Federation Right: Data Skills Workshop in Nairobi with Federation
  • 16. The aim: Identify data champions who could help address and provide solutions for the humanitarian data challenges the sector is facing. 40+ participants 20 organisations from Somalia, South Sudan, Kenya 50% of attendees were women Nairobi Data Skills Workshop, March 2018 Data Skills Workshop in Nairobi with the Federation
  • 17. Peer-to-peer networking Co-creating models for sharing data Data skills mapping of the East Africa community Understanding data for decision making Increased awareness of HDX, HXL and the Centre Nairobi Data Skills Workshop: Outcomes Data Skills Workshop in Nairobi with Federation
  • 18. Data Literacy: Research Data Literacy Workshop in The Hague Data skills survey (15-25 January 2019) 36 - Survey questions 1084 - Completed responses 111 - Countries and regions represented
  • 19. ACTIVITIES Responsibilities vary broadly by role, however there is coverage across all tasks related to data. As expected analysing data is the most commonly reported task. Activities Which of the following aspects of data are you typically involved in?
  • 20. CHALLENGES Collecting primary data and assessing and improving the quality of data are the most commonly reported challenges. This is in line with expert feedback that “people don’t know what good looks like, and how to get there.” Challenges Which of the following aspects of data do you find the most challenging in your work?
  • 21. MOTIVATIONS Improving overall capabilities and using data to make the humanitarian response more effective are the strongest motivators. This holds true across roles. Which of the following best expresses why you would be interested in improving your data skills? Motivations
  • 22. Engagement Models Which of the following learning methods should the Centre for Humanitarian Data offer? ENGAGEMENT MODELS - WHAT THE CENTRE SHOULD OFFER Video tutorials emerged as most desired engagement model across almost all groups. Quick learning, self- paced learning, and other written material were also desired, however responses varied by role.
  • 23. Segments WHO ARE THE PRIORITY AUDIENCES? WHAT ARE THEIR ACTIVITIES, STRENGTHS, AND PAIN POINTS? WHAT DO THEY WANT TO LEARN, AND HOW DO THEY WANT TO BE ENGAGED? HQ and Regional Management1 Heads of Office and Country Directors2 Country Program Teams and HAOs3 Data Management Teams4
  • 24. Why a Data Literacy Consortium? ● The risks and opportunities that the influx of data and technology grows. We cannot be bystanders - Humanitarian Response needs a Data & Digital upgrade ● Upskilling staff and volunteers can improve our work and localize data workflows ● Partnerships across humanitarian actors, universities/research and business are critical to success and sustainable planning
  • 25. Activity 1: Data Playbook (version 1) Scale the Data Playbook ● Pilot the content in your organization ● Get the wider, deeper, simpler content help ● Guide the development of content - Advice and support. ● Create new content, integrate other training methods ● Give Feedback ● Identify existing content for the playbook ● Build contribution paths by individual, organization
  • 26. Activity 2: Workshops/Engagement Joint training programs ● Building shared content in person and online will reach more humanitarians. Center for Humanitarian Data (HDX) and IFRC are already engaged in these activities.
  • 27. Activity 3: Pilot New Methods Beyond MOOCs - reaching humanitarians ● Video series - Data for Volunteers, Data For Managers ● SMS tips program ● Data-o-meter - a tool to serve data tips, content and just-in- time training (push via sms)
  • 29. Information THANK YOU Heather Leson heather.leson@ifrc.org Data.literacy@ifrc.org @heatherleson skype: heatherleson Data Literacy Consortium User Group Meeting - February 27, 2019 Sign up - https://www.fabriders.net/data-playbook-user-group/