Viewing the NAA through functions

I’ve mapped current RecordSearch functions onto the top-level functions in AGIFT3. This was necessary because the functions in RecordSearch are a bit of a mess, with top-level functions added for no discernable reason. That left me with 23 groups of functions.

I then found the agencies that performed these functions, and the series that the agencies created while they were performing these functions. I made sure a series only appeared once within each function group. I then added up the quantity of records (in shelf metres), the number of items described, and the number of items digitised, for every series associated with a function group. I ended up with the following results.

Top-level function Number of series Quantity (shelf metres) Items described Items digitised
BUSINESS SUPPORT AND REGULATION 963 8675.33 116158 2055
CIVIC INFRASTRUCTURE 5388 47406.29 853097 171925
COMMUNICATIONS 5453 24371.09 1271196 315297
COMMUNITY SERVICES 4088 58396.02 623815 98434
CULTURAL AFFAIRS 2246 27577.09 691001 65752
DEFENCE 9470 40625.71 3025744 906566
EDUCATION AND TRAINING 1907 7853.72 540258 66448
EMPLOYMENT 3464 15280.48 337180 167817
ENVIRONMENT 871 4476.42 163550 6356
FINANCE MANAGEMENT 4086 16012.76 549137 111586
GOVERNANCE 8016 30016.31 1144169 207320
HEALTH CARE 1839 8718.94 76632 5886
IMMIGRATION 2431 44565.01 2645768 280336
INDIGENOUS AFFAIRS 1514 29029.37 915105 97448
INTERNATIONAL RELATIONS 2762 22879.45 1561377 162277
JUSTICE ADMINISTRATION 2819 20465.67 1560340 114005
NATURAL RESOURCES 1942 8746.27 357485 71926
PRIMARY INDUSTRIES 2293 8546.23 366128 65912
SCIENCE 4881 29146.20 726435 174210
SECURITY 2449 21649.89 1988034 442256
SPORT AND RECREATION 496 2047.91 33462 2873
TRADE 5015 23146.42 2101005 270862
TRANSPORT 6351 34264.29 1053470 233459

Of course there are numerous problems with this data. Perhaps most importantly, not all records in a series will be associated with the perfomance of a particular function. But short of harvesting the whole of RecordSearch, I think it provides a reasonable starting point. I’m also still not sure that I’ve found all of the functions that are currently in use. As I was preparing this data, I noticed that some ‘unpreferred’ terms are nonetheless being used. Sigh. So expect further updates…

Anyway, here’s a first attempt to plot the results. You can see how functions such as ‘Defence’, ‘Immigration’, and ‘Security’, are described and digitised at a much higher rate than other areas.

I thought I’d make a quick attempt to see how the the holdings of the National Archives look when viewed through these different dimensions, so I created some basic wordclouds.

The NAA by quantity (shelf metres)

NAA functions wordcloud -- showing quantities

The NAA by number of items described

NAA functions wordcloud -- showing number described

The NAA by number of items digitised

NAA functions wordcloud -- showing number digitised

Of course the point of all this is to explore how decisions around things like description and digitisation change what we ‘see’. More about that soon…