Discover the processes of the open data lifecycle
We know that open data supports data-driven decision-making and has
the power to create true societal value. Yet data-driven
decision-making is not straightforward. It is both complex and
multifaceted. Behind the datasets, there is a myriad of platforms,
analysts, and processes that govern the data processing that
ultimately leads to insights. When looking at the data lifecycle as a
whole, however, it can be hard to disentangle the processes and make
sense of them.  

To help you get a better understanding of the processes, the Open Data
Policy Lab [https://opendatapolicylab.org/] published the Third Wave
of Open Data Toolkit
[http://files.thegovlab.org/The-Third-Wave-of-Open-Data-Toolkit.pdf]
earlier this year. This toolkit includes an onion-like model called
the Open Data Framework, which visualises all the processes involved
in the data lifecycle. 

This onion model has 6 rings, starting with the creation of a dataset
at the centre, and branching out to data collaboration, insights, and
value created through these insights. 

Learn how your organisation can create societal value by publishing
data and making it available for re-use. You can read the full article
published by the Open Data Policy Lab to learn more about the ‘data
onion’.

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Publication Date/Time
2021-09-15T06:00:00+00:00
With the onion-like model of the Open Data Policy Lab