I like the work on the prototype, but my only concern is that we are
thinking too much about the resume model as opposed to something more
granular than this.
take for example my profile. I tend to write a lot, which is a pain
in the arse considering we want to database as much as possible. We
need a way to structure information as much as possible. At the same
time, we need to kill of the extra bits of fat and focus on the core
data points we wish to collect.
two guiding principles we should ask ourselves with each data point:
1) it should identify people.
2) It should connect people
Clarity on what that means
1) Identifying people. We want to know who exists. Where they exist.
Where they can be contacted.
2) Connecting people. If someone wants to tap into some expertise,
organise an event, get word out to a subset of the community - we need
to be aware. this is not to say we build some social networking
functionality (e-mail and other services can be the actual pipes of
communications), but what we need is for people to be able to query
the database and get results of "x,y,z live in the Adelaide region".
As opposed to my LinkedIn profile, where I go on a self-congratulatory
um...I'll watch my language as there are ladies here...which is full
of unstructured information. So we should only use linkedin where the
data points can be structured into something specific (like employer
name) but there is no value extracting "description" - simply put a
link to the source for that.
> --
> Elias Bizanneshttp://
liako.biz