talk · Thursday 24 September · 11:40–⁠11:55 · SAL A

Managing high-volume specimen movements in the entomological collection of Naturalis with a new type of record

Myriam van Walsum · From Cabinets to Clouds - Bridging the gap between collection- and database management

Recording time 4:01:21–4:10:59Open on Vimeo ↗

Summaries and key moments are machine-produced. Check the recording for the speaker’s exact words.

The short versionA 'lot' record linking taxa to storage units makes high-volume physical moves cheap to record and tells staff where each taxon is.

Overview

What this was about

Myriam van Walsum explained a workload problem in Naturalis's pinned insect collection (about a third of 45 million specimens, only about 10% individually digitised). Records exist mainly at drawer level, with a table of identifications per storage unit. When taxa shifted between drawers, staff had to delete and manually re-enter identifications, so moves were often not recorded. Instead of disruptive independent taxon records, Naturalis introduced a 'lot' record: specimens of the same lowest determined taxon stored in one contiguous location. It is created by migrating existing storage-unit records, so moving a taxon only means updating the lot's link. A Catalogue of Life API lookup also reduced entry errors. She asked how lots should map to Darwin Core or DwC-DP and whether GBIF or DiSSCo want such records.

Why it matters. It is a practical data-model fix for a common curation bottleneck in drawer-level digitised collections. It also raises an open standards question about publishing lot and storage-unit records.

Key ideas

In the room

  • Naturalis holds about 45 million specimens; over a third are pinned insects, only about 10% individually digitised (mostly bees).
  • The zoology/geology CMS is from a Dutch vendor not designed for natural history, so Naturalis writes its own ABCD-aligned requirements.
  • Taxonomically ordered storage creates many-to-many relationships between taxa and storage units.
  • Manual delete/re-enter of identifications caused backlog, errors and lost locations, despite a legal obligation to know where specimens are.
  • Lot definition: specimens of the same lowest determined taxon in one contiguous location; each specimen belongs to exactly one lot.
  • Lots were created by data migration from existing storage-unit records; no new digitisation was needed.
  • Catalogue of Life API integration in identifications reduced data entry errors.
Jump in

Notable moments

In their words

Transcript

Automatically generated captions can contain mistakes, especially in names and technical terms. Times are relative to the room recording.

Read the transcript ↓
Loading transcript…
Programme abstract

Managing high-volume specimen movements in the entomological collection of Naturalis with a new type of record

Myriam van Walsum

The entomological, pinned collection at Naturalis contains approximately 1.7M specimens, of which about 10% are digitized. Collection managers mostly use a higher level of data (the storage units) to retrieve and manage the collection. The physical storage units contain multiple taxa, which is reflected in the storage unit record as multiple identifications. New acquisitions and taxonomic reshuffling would cause collection managers to have to move the specimens of several taxa to adjacent storage units, and to remove an identification and reenter the data in the destination storage unit record. Given the high curation activity in entomology, this created a critical workload bottleneck with high risk for errors. At first, investigations were done to make identifications a separate subrecord, to allow moving between two storage units more easily. This was deemed too disruptive to the database architecture. Instead a new type of record was developed: the lot, a conceptual bridging entity. The lot record reflects an aggregation of specimens belonging to the same lowest-determined taxon stored within a contiguous physical location. It can be connected to a specific storage unit, optimizing digital workload following physical actions. Also, in the future it will be easier to publish this data at short intervals (as opposed to the static dataset of storage units which is now 8 years old). Ultimately, this implementation satisfies the most frequent inquiries from both external and internal users: confirming whether a specific taxon is present in the Naturalis collection, and pinpointing exactly where it is stored.

Submitted to the conference programme before the talk, so the talk itself may differ.