Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

An information artifact ontology perspective on data collections and associated representational artifacts.

Author information

Affiliations

  • 1. New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA.
      Authors
    • Ceusters W 1
    (1 author)

ORCIDs linked to this article

Studies in Health Technology and Informatics, 01 Jan 2012, 180:68-72
PMID: 22874154 

Abstract 

Biomedical data collections are typically compiled on the basis of assessment instruments and associated terminologies and their data structure explained by means of data dictionaries. The Information Artifact Ontology (IAO) is an attempt to give a realism-based account of the essence of information entities and how components of such entities relate to each other and to that what they are information about. Changes in the taxonomy and the definitions of the IAO, most importantly the addition of the terms 'representational artifact' and 'representational unit', are proposed to make the IAO a useful tool to clarify formally the distinctions and commonalities between data collections and associated artifacts that are compiled independently from each other, yet cover the same domain.

Citations & impact 

Impact metrics

23
Citations
Jump to Citations

Citations of article over time

Article citations

Go to all (23) article citations

Similar Articles 

To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.

Funding 

Funders who supported this work.

NIDCR NIH HHS (2)