My thanks to all those who provided feedback on the last draft of the
"Biodata Management Framework"
<http://dataversity.org.nz/r/topic/5eBDhav8AUtozv1y2ZoBO0> that I
posted. I have tried to incorporate that feedback into a new draft.
The discussion that ensued from my last post led me to realise that
"Framework" is too broad a term and can be interpreted to mean many
things. I am now calling the document I am working on a "Biodata
Management Guide" (almost its original title of "Biodata Management
Below is a link to the current draft of the Biodata Management Guide for
your review. This is still an early work-in-progress draft posted to let
you know what I am working on, and invite input.
In particular, I request two kinds of input:
1 Feedback on the overall structure of the Guide. The content of
the Guide is all up for review. I hope that the structure of the
Guide provides a good container for its content and will accomodate
changes to it. Please try and break it. If you like it, I hope it
inspires you to offer the second kind of feedback:
2 Input into the content.
I do not want to waste your time reviewing the parts of that I know are
incomplete. For that reason, here is a description of what I think is
done, and what is yet to do.
Structure. The Guide consists of the following six "tool", listed here
with the task each is designed to support:
1 About this Guide: determine whether the Guide is useful to the user.
2 Data Life-Cycle Maturity Summary: determine overall system maturity
at each of four data life-cycle stages, and to set a consistent
target maturity level across all stages.
3 Maturity Factors Summary: determine overall system maturity (in
a little more detail) with respect to six maturity factors, and to
set a target maturity profile across the factors.
4 System Assessment Form: document assessments made using the
5 Data Life-Cycle Maturity in Detail: validate the assessments made
with the Summary tools or make a more detailed assessment of and
plan to improve a system to a consistent maturity level across the
data life-cycle, taking into account the target maturity profile
across the maturity factors set using the Maturity Factors Summary
6 Maturity Factors in Detail: validate the assessments made above,
understand the maturity factors in details, and make a detailed plan
to improve a biodata system with respect to specific maturity factors.
My To Do List contains at least the following.
- Review Life-Cycle Stages: Find a place to put Discovery: it is
prepared for during Ingest, needed for Analyse and part of Share.
Find a place to put storage, persistent sharing and archiving.
(I am using "Analyse" to describe the tasks Steve describes
- Review Maturity Factors: Governance needs to be addressed. Get the
Factors to be about the same size with respect to (importance?
difficulty?). (I have revised the example of an "initial reliability
value" to correct the ambiguity Brent pointed out).
- Elicit more real world input into the Guide.
- Set detailed criteria for all the Life-Cycle Stages and Maturity
- Aggregate up those criteria up to summary criteria for all the
Life-Cycle Stages and Maturity Factors.
- Make the Guide more specific to biological data. Add many examples.
(To my mind, not being that specific to biodata is a *good* thing.
Let's only make this an exception where it has to be.)
- Review a bunch of literature and other tools.
- Engage an Advisory Group (if you are keen, let me know).
- Engage with several test users and help them to test the Guide (if you
are keen, let me know).
with thanks and regards to all,