EDISON Data Science Framework — Defining the Profession

Are you aware of the EU project EDISON? Maybe you have heard of the EDISON Data Science Framework (EDSF)? I have been combing through it for the past couple of years, from a data literacy perspective, and I am convinced this is a truly useful resource for all of us data nerds.

EDSF Data Science Competencies for Research (cc-by: Yuri Demchenko, et al. EDISON Community Initiative)

Here’s the project web site:

https://edison-project.eu/

One of the things I appreciate about the EDSF is that it draws on, and cites, a number of contributing sources including the NIST Big Data Interoperability Framework (NBDIF), which had an active workgroup around the same time as the EDISON project (2015 – 2017). The NDBIF is one of the (primary) reference architectures I draw on for the design of the Agency Data Hub.

One of the fruits of that project is a way to evaluate and certify data science and analytics knowledge, which is managed by International Association of Business Analytics Certification (IABAC). I haven’t seen anything like this type of certification from the usual sources here in the US. Does it exist and I have yet to find it? Another is the comprehensive Data Science Body of Knowledge, which gives you a fully-built taxonomy to organize your learning and hiring efforts.

I am currently using it to define the desirable and mandatory qualifications for contracts as well as a standard Data Engineer, Data Scientist, and Data Architect/Manager duty statements for my day job. Hopefully I’ll be able to share that work here in the future.

The work is licensed under the Creative Commons Attribution 4.0 International License. This means that you can use content and develop curriculum based on the definitions found in the EDSF, providing you always attribute the work back to the EDISON Community Initiative.

I wonder if any of you are aware of this project, or if you are aware of anything comparable in the US? Maybe these are new resources for you, or you are already aware and know of other similar efforts that you can point me to.  Either way, let me know in the comments.

Reading Now – November 2019

This is a simple post where I will keep track of what I’m reading this month. I’ll list books and articles. This page will be updated throughout the month as an experiment to see how much overhead this adds to my flow, and how much value I get out of this effort.

November 12

• Books:
  • The Information Diet (Data Literacy)
  • A Field Guide to Lies (Critical Thinking)
• Articles
  • Breaking Down the OWASP API Security Top 10, Part 1 (DevOps)
  • From data to narrative: Getting the most value from information assets (Service Design)