TechWhirl (TECHWR-L) is a resource for technical writing and technical communications professionals of all experience levels and in all industries to share their experiences and acquire information.
For two decades, technical communicators have turned to TechWhirl to ask and answer questions about the always-changing world of technical communications, such as tools, skills, career paths, methodologies, and emerging industries. The TechWhirl Archives and magazine, created for, by and about technical writers, offer a wealth of knowledge to everyone with an interest in any aspect of technical communications.
Michelle:
In my experience, a data dictionary is simply a table describing
fields. For example, one data dictionary I use only has the columns:
Field Name, Length, Type, and Description.
To me, creating a data dictionary consists mostly of the grunt-work of
gathering multiple bits of information and cutting-and-pasting them
into a nice table format. Sometimes this information comes straight
from the programmers or the code, but it can also require a formal
information-gathering process including JAD sessions and SME
interviews.
The amount of work required depends on the size of the application and
where the information comes from. Sometimes it's merely a matter of
assembling a Word table from a programmer's email. Other times, you'll
need to behave like a business analyst or QA engineer in order to
gather the data to build the table. Either way, I doubt they require
much *writing*. Unless you count the short descriptions you put in the
tables.
Cheers,
Matt Danda
==
Matthew Danda
Technical Writer in Software Development
Orlando, Florida
_________________________________________________________
DO YOU YAHOO!?
Get your free @yahoo.com address at http://mail.yahoo.com