This document outlines steps to improve an organization's open data practice using a maturity model assessment. It discusses understanding the basics of the maturity model, reviewing an initial company assessment, targeting areas for improvement, and taking initial steps to develop the open data practice. Specific activities include identifying key metadata for internal datasets, filling out a draft asset catalogue, planning a data release process, prioritizing existing published data for curation, and rolling out improvements to other teams. The overall goal is for the organization to become more efficient at delivering data to customers.
2. Session goals
● Understand the basics of the maturity model
● Review your first company assessment
● Target some areas for improvement
● Take some initial steps to develop our practice
12. Theme: Data management processes
Activity: Data release process
1 2 3 4 5
Initial Repeatable Defined Managed Optimising
Little or no
published open
data.
Datasets that are
published are done
so using ad hoc,
possibly manual
processes.
Released datasets
are rarely, if ever,
updated.
Specific projects or
products may have
defined a
repeatable process
for releasing an
individual dataset or
series, but there are
no common
standards.
Some datasets are
being released and
updated to a regular
schedule.
There is a
repeatable
organisation-wide
standard release
process for
publishing datasets.
The release
process may be
tailored for
individual projects.
The release
process has been
adopted for some
published datasets.
All datasets are
released according
to the standard
organisational
process.
Updates to datasets
are released to a
scheduled,
published timetable.
Archived versions of
key datasets are
provided to support
historical analysis.
Internal reports are
available to
highlight stale
datasets.
The organisation
collects and
monitors metrics on
its release process,
e.g. time taken to
release and refresh
datasets.
The organisation
acts to optimise the
release process to
reduce time
between changes
and releases.
Become more efficient at delivering data to customers
18. Asset catalogue
● What do we need to know about our own datasets?
– Identify some key attributes (metadata)
– 5 mins
● What datasets do we have actually have?
– Help fill in the draft asset catalogue template
– Make revisions as you see fit
– Include data from across the company
– Ensure each dataset is fully described: quality not quantity
– 10 mins
21. The maze of governance
Plan a way through the maze to release the people
22. The maze of governance
● How should we prioritise data for release
– What information do we need?
– 5 mins
● What is our data release process?
– What are the key steps?
– Consider full lifecycle
– What works for us?
– 10 mins
25. The thorns of curation
Suggest some ways to tidy the garden of thorns
26. The thorns of curation
● What do we do with the data that's already
published?
– Which data is most important to prioritise?
– Identify 3 interventions
– 10 mins
30. The dragon's Lair
● How do we roll this out to the rest of the
organisation?
– What do other teams need to know?
– How can we help them?
– 5 mins
● Which areas do we level up next?