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Co creating Data Literacy

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The Centre for Humanitarian Data and the International Federation of Red Cross Red Crescent Societies (IFRC) are convening a Data Literacy Consortium. The Data Playbook Beta project is a prototype of social learning designed on modularized pick-and-choose model for 30 minute to 1 hour conversations or lunch and learns. Playbooks are designed to be guided by the users and leaders to decide what ‘activity’ or ‘action’ best suits the given need.

This presentation was part of the Humanitarian Network Partnership Week (HNPW) https://vosocc.unocha.org/GetFile.aspx?xml=rss/5553avUoDK9oBXk5WjCq32t1ttUfc38nDpek4dR1ieeonUgx_27042_l1.html&tid=5553&laid=1&sm=
February 4, 2019 Geneva Switzerland
Co-hosted by Heather Leson (IFRC) and Javier Teran (Centre for Humanitarian Data)

Session goals: 1. Discuss the Data Playbook (beta) project and invite participants to co-create the Data Playbook version 1.
2. Convene a Data Literacy Consortium to support humanitarian data literacy.

Content:
https://www.preparecenter.org/toolkit/data-playbook
Organizations:
https://centre.humdata.org/
http://media.ifrc.org/ifrc/theme/data/

Publicado en: Tecnología
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Co creating Data Literacy

  1. 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. 2. Co-Creating Data Literacy Javier Teran, Centre for Humanitarian Data @humdata
  3. 3. Data can lead to: Information Knowledge EvidenceDecisions
  4. 4. Connect Learn Create Measure Data Literacy Program Feed the data curious, act with the data ready, learn by doing
  5. 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. 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. 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. 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. 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. 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. 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. 12. The mission of the Centre is to increase the use and impact of data in humanitarian response.
  13. 13. Focus Areas for the Centre Data Services Data Policy Data Literacy Network Engagement
  14. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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)
  28. 28. Thank you centrehumdata@un.org humdata | centre.humdata.org
  29. 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/

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