Data Quality Issues in Current Nanopublications

Imran Asif; Jessica Chen-Burger; Alasdair J. G. Gray

doi:10.1109/eScience.2019.00069

Data Quality Issues in Current Nanopublications

Imran Asif, Jessica Chen-Burger, Alasdair J. G. Gray

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

126 Downloads (Pure)

Abstract

Nanopublications are a granular way of publishing scientific claims together with their associated provenance and publication information. More than 10 million nanopublications have been published by a handful of researchers covering a wide range of topics within the life sciences. We were motivated to replicate an existing analysis of these nanopublications, but then went deeper into the structure of the existing nanopublications. In this paper, we analyse the usage of nanopublications by investigating the distribution of triples in each part and discuss the data quality issues that were subsequently revealed. We argue that there is a need for the community to develop a set of guidelines for the modelling of nanopublications.

Original language	English
Title of host publication	2019 IEEE 15th International Conference on e-Science (e-Science)
Publisher	IEEE
Pages	522-527
Number of pages	6
ISBN (Electronic)	9781728124513
DOIs	https://doi.org/10.1109/eScience.2019.00069
Publication status	Published - 19 Mar 2020

Keywords

Semantic Publication
Nanopublication
Reproducibility
Provenance
Linked Data
Data Quality

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10.1109/eScience.2019.00069

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KW - Provenance

KW - Linked Data

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Data Quality Issues in Current Nanopublications

Abstract

Keywords

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