Transcript NMAI - KE Software

EMu @ NMAI Showcase
October 14, 2010
Why?
 Critical
need for data cleanup/standardization
 Ease in searching and data entry
 Web-presentable
 Global Replace and Import tools require specialized
knowledge
 Simple search (borrowed from CMC)
 Re-ID tools (borrowed from the various Natural
History Museums)
Simple Search
• Shell fields
• Use Registry entry “Also
Search” to search against
existing data fields.
Layout of tool
Identification
Cultures
Associated Parties
Notes
Success of tools
For Object Re-identification only:
•At the beginning of FY 2010 , 48,000 records have been
cleaned up (15% of 280,000 records)
• By the end of FY 2010, 101,000 records cleaned up or 36%.
•Already 2 weeks into FY 2011, 10,000 records have been
cleaned up.
As part of the Collections
Search project, we
determined that there needs
to be Public-friendly data. We
created special “metadata”
tabs to do the following
things: 1) gather in one tab
all important data fields for a
Web record 2) include Webonly fields here so as not to
confuse users who are used
to the Museum-oriented data
fields.
Fields that are grayed out are
the same ones appeared on
the other tabs. They show up
on this tab as references. Any
corrections must be done in
the original fields.
Fields that are white are
editable by users with
permissions.
Fields that have the green
double-arrow button require
manual refresh or upon
saving, populate the fields
with data. Ex: Web Materials
has data concatenated from
specific materials in the
Materials field on the
Description 1 tab.
“Site for Web” reverses
the order of geographical
location because that’s
how most people tend to
read geographical data.
But for internal use, we
do the opposite because
that’s how we sort the
data.
This allows us to
associate collection
items for Web purposes,
i.e. photographed
together.
Data review is a 2-step process (mostly): one
person reviews + enters/edits data; the other
then does a final review and mark publish on
Web. This process is fully attributed so as to be
transparent (person name + date are automated
by system so no falsification possible).
Allow those users who
are directly involved in
Web data preparation to
leave notes for each
other. Since many users
don’t see this tab, this
internal dialogue won’t
confuse them.