Dennis has pretty much nailed it.
On point 1, you need to consider: (a) the cost of leaving
something 'wrong' up and (b) if something 'wrong' could still be
useful. One option to consider is applying automatic warning
headers on content that is at more than X days old to encourage
people to look for newer content. This also encourages relevant
content to be refreshed by stakeholders (even if people just click
Edit => Save to update the modified date).
On point 2, assuming that the main purpose of labels is
discovery, you could analyse the number of times a label is
searched for to get a sense for which are resonating with your
users and then trimming the excess. But first I think you need to
understand why you're labelling content at all. Is it performing a
function that search won't and if so, could you fix the problem
with a better search engine? 😁
Patrick Lambe's book "Organising Knowledge: Taxonomies, Knowledge
and Organisational Effectiveness" is a great way to learn about
this stuff, BTW. Highly recommend.
Executive, Information Management
M: 0401 829 096
On 25/05/2021 9:33 pm, Dennis Thomas
is a judgment call. The retention period is relative to who
uses the material and its time-value.
idea. The general rule is whatever works. Every situation is
different. There is, however, a point of diminishing returns.
At some point, the process becomes too cumbersome and people
will not use it.
3. See attached diagram of a knowledge
acquisition study that was completed for the US Government.
It’s goal was to define what knowledge existed within the
Science & Technology labs. The study used Controlled
Vocabularies to insure accuracy. It was determined that much of
the research knowledge could not be understood by the Program
Managers and it was therefore, not implemented in end-user
projects. For this reason, associating Acronyms, Synonyms,
jargon with the Controlled Vocabularies was essential. People
understand based on the language they already know and
Martha Nawrocki, our Master Knowledge
Engineer modeled this project. The Map was created by Dr.
Richard L. Ballard, Principle Investigator
Good luck with your report. Dennis
On May 25, 2021 at 1:33:18 AM, Jay Kreshel (jkreshel@...)
I have begun a Knowledge Mapping exercise and have
learned a couple of things about my data that I need help
- We have a lot of really good content. But, when we
posted it to our Content Management Systems, we failed
to document its post dates... AND, as we work through
determining which content will help us engage our
employees and customers at the right time. When it is
time to add new content, what is the best
practice on expiring content and when to remove it
from the system?
- With our taxonomy of labels for tracking and tagging
data, we have a list of 130 individual labels across
18 categories. Feels like a lot... What is
the Best Practice for a reasonable count?
- I was also given guidance around a Controlled
Vocabulary as an alternative. I believe that this
would decrease the number of categories and
categories. Does anyone have a case study
that would help me determine which method to use?
Thanks in advance.
(300 person start-up, Technology company.)