Charting the Future of EDSA

Simon Bullmore The Open Data Institute

Jean-Louis Lievin

ideXlab

1  

What’s in this presentation? EDSA will be the trusted source for impartial, data science, training advice and access to learning. We need to find a way to sustain this after the project finishes. In this deck we discuss: •  What EDSA might offer after the project finishes, •  The things needed to support what EDSA may offer, •  Our suggestion for how we make this possible, •  How we might underpin these approaches with a

Charter that all EDSA partners would sign up to.

2  

SUMMARY

3  

Summary We propose to secure initial commitments from current EDSA partners and other training suppliers to maintain the EDSA website, social media channels and curriculum. These commitments will be made through the EDSA charter that potential partners will be asked to sign up to. We anticipate that initially this will be a collaborative agreement without a committed business model and financial structures. The charter will also describe the EDSA design and delivery values so that EDSA continues to be seen as a high-quality and trusted training brand. Partners will commit to work together to develop the future EDSA offering, for example through skills certifications. As well as agreeing any financial models and systems needed to develop any new offerings.

4  

Our request from the Advisory Board We need your feedback on what we are suggesting. Although we’ve got some time to go until the project ends we need to start signing-up EDSA partners from outside current project participants and getting our plans ready. Thank you!

5  

THE FUTURE OF EDSA

6  

7  

8  

9  

The EDSA Charter

What should EDSA offer in future? EDSA will be of value to both those seeking data science training and those that supply it. This is what we believe EDSA should offer as a minimum:

People  seeking  skills  will  get:   Training  suppliers  will  get:  

Free  skills  assessments  so  they  know  what  to  do  next  

Access  to  poten?al  new  clients  with  clearly  stated  needs.  

Different  ways  to  develop  the  skills  they  need  through  suppliers  they  can  trust.  

The  ability  to  align  their  offering  with  stated  client  needs.    

News  and  developments  from  the  sector.   A  place  to  share  what  they  are  doing.    For  example  events,  courses,  research  and  tools.  

A  connec?on  to  a  suppor?ve  community  of  learners  and  educators.  

Improved  brand  exposure,  connec?ons  to  the  data  science  community  and  a  marque  of  the  quality  of  their  delivery  

10  

To do the minimum offer EDSA will need What  is  needed?   Why?   What  are  some  of  the  resourcing  and  

cost  implica;ons?  

A  website   To  host  EDSA   Web  hos?ng  costs  Personnel  costs  for  web  support;  web  development;  content  produc?on,  cura?on  and  edi?ng.  

Courses,  Training  content  

To  provide  data  science  up-­‐skilling    

Content  integra?on  &  management  

Social  media   To  engage  the  community  

Personnel  costs  for  social  media  management  and  content  crea?on.  

Regular  partner  mee?ngs  

To  agree  how  EDSA  is  maintained  and  developed  

Online  mee?ng  tools,  chairing  of  mee?ngs,  ac?on  planning.  

11  

The Charter will help support EDSA We will design a charter that captures the commitments required from EDSA Partners to support this “minimum” offering, and the values of EDSA. Initially EDSA partners will not be required to contribute financially, but will be required to help shape the future of EDSA. This future may include a financial business model and associated financial structures and systems. The charter will capture the spirit and values of EDSA through the Curriculum Design Values and the Curriculum Delivery Values. These are described below in the appendix. The charter will also state the governance and the future legal options for the sustainability of EDSA.

12  

What else could EDSA offer? Other things EDSA could provide include: -  Certification of skills through exams. -  Analysis of skills demand (for example through job advert analysis, questionnaires) -  Access to a curated selection of tools. -  Learning analytics (tools that create insight into the performance of training products). -  Sponsored content/Advertising. -  Hosting of online course content. -  Single source procurement for large, cross-border training/consulting projects.

Each of these options would require investment to develop, maintain and administer particularly where some form of customer billing is needed. For example: -  Data science certification exams could provide a valuable source of income.

Development of such certifications would require investment. Systems would also be needed for online payment processing, customer service and exam administration.

-  EDSA’s SEO is performing well. This could be monetised through sponsored content and adverts. Which again requires management and finance systems.

13  

Are there other options for EDSA? •  EDSA could be embedded into another initiative or

an existing body –  However so far, no existing initiative is proving

attractive.

•  A more ambitious, fully fledged Academy could be launched from day one –  This would require significant funding to reach self-

sustainability As well as support from potential clients and partners.

14  

APPENDIX�EDSA CURRICULUM VALUES

15  

EDSA Curriculum Design Values •  Industry  Aligned  –  The  curriculum  is  designed  in  accordance  with  the  expecta?ons  of  EU  industrial  

sectors  connected  to  data  science,  providing  industry-­‐standard  scenarios  and  tools.  •  Industry  Standard  Tools  –  Our  compila?on  of  open  source  data  science  tools  offer  learners  

experience  with  tools  customary  to  the  industry  and  their  specific  sector.  •  Real  Data  –  Learners  u?lising  this  curriculum  have  access  to  a  number  of  large-­‐scale  open  datasets  to  

perform  their  learned  data  science  skills,  enabling  real-­‐world  data  science  on  real-­‐world  data.  •  Open  Design  –  Our  curriculum  is  designed  from  user,  research,  industry  and  professional  

recommenda?ons  and  feedback  taken  into  account  from  all  across  the  EU,  ensuring  that  the  curriculum  meets  the  needs  of  the  industry,  academia  and  the  wider  market.  

•  Expert  Provision  –  A  curriculum  that  is  designed  by  world-­‐class  professional  and  academic  experts  in  data  science.  

•  Modular  –  The  curriculum  is  flexible  and  adaptable  to  educator  requirements  and  the  needs  of  their  learners.  

•  Transferrable  -­‐  Skills  learned  through  the  curriculum  can  be  u?lised  across  a  range  of  data  science  roles,  occupa?ons  and  countries  throughout  the  EU.  

•  Concise  Learning  Goals  –  All  courses  are  aligned  with  clear  learning  goals  depicted  by  a  specific  aspect  of  the  data  science  role.  Learning  pathways  are  provided  to  enable  learners  to  navigate  through  the  content,  selec?ng  what  is  useful  to  them.  

16  

EDSA Curriculum Delivery Values •  Mul;lingual  –  delivered  across  a  number  of  European  languages  to  extend  the  reach  of  

our  course  materials  and  enable  others  to  use  our  curriculum.  •  Mul;modal  –  provided  in  a  number  of  modes  to  facilitate  a  host  of  learning  styles,  skill  

levels  and  format  preferences,  such  as  MOOCs,  eBooks  and  slide  decks.  •  Mul;-­‐PlaKorm  –  u?lises  a  wide  range  of  pla_orms  in  order  to  remain  accessible  and  

available  to  a  large  body  of  data  science  learners.  •  CuLng-­‐Edge  Quality  –  materials  are  subject  to  a  series  of  design  itera?ons  that  

encapsulate  the  latest  research  and  professional  prac?ce,  prior  to  their  launch.  •  Reflec;ve  and  Quan;fied  –  materials  are  delivered  with  data  and  analy?cs  in  mind,  

providing  all  learners  quan?fied  measures  and  analy?cs  to  reflect  on  their  ap?tude,  skills  and  strengths.    

   

17