Repository logo
Home
Research Outputs
Collections
Statistics
Shared Repository Homepage
  1. Home
  2. Cultural Heritage Shared Repository Service
  3. Royal Botanic Gardens, Kew
  4. Report
  5. Updating data standards in transcription

Updating data standards in transcription

Thumbnail Image
Download
Name

Deliverable_D4.3_-_ICEDIG_Updating_data_standards_in_transcription.pdf

Description
visibility:open
Size

596.75 KB

Format

Adobe PDF

Checksum (CRC64NVME)

efCiun/3bWw=

Resource type
Research report
Creator (person)
Groom, Quentin
ORCIDORCID logo
Dillen, Mathias
ORCIDORCID logo
Hardy, Helen
ORCIDORCID logo
Phillips, Sarah
ORCIDORCID logo
Willemse, Luc
ORCIDORCID logo
Date published
2019
Abstract
There are more than 1.2 billion biological specimens in the world’s museums and herbaria. These objects are a particularly important form of biological sample and observation. They underpin biological taxonomy, but the data they contain have many other uses in the biological and environmental sciences. Nevertheless, from their conception they are almost entirely documented on paper, either as labels attached to the specimens or in catalogues linked with catalogue numbers. In order to make the best use of these data and to improve the findability of these specimens, these data must be transcribed digitally and made to conform to standards, so that these data are also interoperable and reusable. Through various digitization projects the authors have experimented with transcription, by volunteers, expert technicians, scientists, commercial transcription services and automated systems. We have also been consumers of specimen data for taxonomical, biogeographical and ecological research. In this paper we draw from our experiences to make specific recommendations to improve transcription data. The paper is split into two sections. We first address issues related to database implementation with relevance to data transcription, namely versioning, annotation, unknown and incomplete data and issues related to language. We then focus on particular data types that are relevant to biological collection specimens, namely nomenclature, dates, geography, collector numbers and uniquely identifying people. We make recommendations to standards organizations, software developers, data scientists and transcribers to improve these data with the specific aim of improving interoperability between collection datasets.
Publisher
Zenodo
Official URL
https://zenodo.org/record/3386211#.Xxaci25FzJo
Rights statement
In Copyright
DOI
10.5281/zenodo.3386211
Managed by the British Library and supported by the AHRC

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • End User Agreement
  • About
  • Contact
  • Help
Repository logo COAR Notify