Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data

Tobias Kuhn, Albert Meroño-Peñuela, Alexander Malic, Jorrit H. Poelen, Allen H. Hurlbert, Emilio Centeno Ortiz, Laura I. Furlong, Núria Queralt-Rosinach, Christine Chichester, Juan M. Banda, Egon Willighagen, Friederike Ehrhart, Chris Evelo, Tareq B. Malas, Michel Dumontier

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

Abstract

Nanopublications are a Linked Data format for scholarly data publishing that has received considerable uptake in the last few years. In contrast to the common Linked Data publishing practice, nanopublications work at the granular level of atomic information snippets and provide a consistent container format to attach provenance and metadata at this atomic level. While the nanopublications format is domain-independent, the datasets that have become available in this format are mostly from Life Science domains, including data about diseases, genes, proteins, drugs, biological pathways, and biotic interactions. More than 10 million such nanopublications have been published, which now form a valuable resource for studies on the domain level of the given Life Science domains as well as on the more technical levels of provenance modeling and heterogeneous Linked Data. We provide here an overview of this combined nanopublication dataset, show the results of some overarching analyses, and describe how it can be accessed and queried.
Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on e-Science (e-Science)
Pages83-92
Number of pages10
ISBN (Electronic)9781538691564
Publication statusPublished - 18 Sep 2018

Publication series

SeriesProceedings of IEEE e-Science

Keywords

  • cs.DL

Cite this

Kuhn, T., Meroño-Peñuela, A., Malic, A., Poelen, J. H., Hurlbert, A. H., Ortiz, E. C., ... Dumontier, M. (2018). Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. In 2018 IEEE 14th International Conference on e-Science (e-Science) (pp. 83-92). Proceedings of IEEE e-Science
Kuhn, Tobias ; Meroño-Peñuela, Albert ; Malic, Alexander ; Poelen, Jorrit H. ; Hurlbert, Allen H. ; Ortiz, Emilio Centeno ; Furlong, Laura I. ; Queralt-Rosinach, Núria ; Chichester, Christine ; Banda, Juan M. ; Willighagen, Egon ; Ehrhart, Friederike ; Evelo, Chris ; Malas, Tareq B. ; Dumontier, Michel. / Nanopublications : A Growing Resource of Provenance-Centric Scientific Linked Data. 2018 IEEE 14th International Conference on e-Science (e-Science). 2018. pp. 83-92 (Proceedings of IEEE e-Science).
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title = "Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data",
abstract = "Nanopublications are a Linked Data format for scholarly data publishing that has received considerable uptake in the last few years. In contrast to the common Linked Data publishing practice, nanopublications work at the granular level of atomic information snippets and provide a consistent container format to attach provenance and metadata at this atomic level. While the nanopublications format is domain-independent, the datasets that have become available in this format are mostly from Life Science domains, including data about diseases, genes, proteins, drugs, biological pathways, and biotic interactions. More than 10 million such nanopublications have been published, which now form a valuable resource for studies on the domain level of the given Life Science domains as well as on the more technical levels of provenance modeling and heterogeneous Linked Data. We provide here an overview of this combined nanopublication dataset, show the results of some overarching analyses, and describe how it can be accessed and queried.",
keywords = "cs.DL",
author = "Tobias Kuhn and Albert Mero{\~n}o-Pe{\~n}uela and Alexander Malic and Poelen, {Jorrit H.} and Hurlbert, {Allen H.} and Ortiz, {Emilio Centeno} and Furlong, {Laura I.} and N{\'u}ria Queralt-Rosinach and Christine Chichester and Banda, {Juan M.} and Egon Willighagen and Friederike Ehrhart and Chris Evelo and Malas, {Tareq B.} and Michel Dumontier",
year = "2018",
month = "9",
day = "18",
language = "English",
series = "Proceedings of IEEE e-Science",
pages = "83--92",
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Kuhn, T, Meroño-Peñuela, A, Malic, A, Poelen, JH, Hurlbert, AH, Ortiz, EC, Furlong, LI, Queralt-Rosinach, N, Chichester, C, Banda, JM, Willighagen, E, Ehrhart, F, Evelo, C, Malas, TB & Dumontier, M 2018, Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. in 2018 IEEE 14th International Conference on e-Science (e-Science). Proceedings of IEEE e-Science, pp. 83-92.

Nanopublications : A Growing Resource of Provenance-Centric Scientific Linked Data. / Kuhn, Tobias; Meroño-Peñuela, Albert; Malic, Alexander; Poelen, Jorrit H.; Hurlbert, Allen H.; Ortiz, Emilio Centeno; Furlong, Laura I.; Queralt-Rosinach, Núria; Chichester, Christine; Banda, Juan M.; Willighagen, Egon; Ehrhart, Friederike; Evelo, Chris; Malas, Tareq B.; Dumontier, Michel.

2018 IEEE 14th International Conference on e-Science (e-Science). 2018. p. 83-92 (Proceedings of IEEE e-Science).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

TY - GEN

T1 - Nanopublications

T2 - A Growing Resource of Provenance-Centric Scientific Linked Data

AU - Kuhn, Tobias

AU - Meroño-Peñuela, Albert

AU - Malic, Alexander

AU - Poelen, Jorrit H.

AU - Hurlbert, Allen H.

AU - Ortiz, Emilio Centeno

AU - Furlong, Laura I.

AU - Queralt-Rosinach, Núria

AU - Chichester, Christine

AU - Banda, Juan M.

AU - Willighagen, Egon

AU - Ehrhart, Friederike

AU - Evelo, Chris

AU - Malas, Tareq B.

AU - Dumontier, Michel

PY - 2018/9/18

Y1 - 2018/9/18

N2 - Nanopublications are a Linked Data format for scholarly data publishing that has received considerable uptake in the last few years. In contrast to the common Linked Data publishing practice, nanopublications work at the granular level of atomic information snippets and provide a consistent container format to attach provenance and metadata at this atomic level. While the nanopublications format is domain-independent, the datasets that have become available in this format are mostly from Life Science domains, including data about diseases, genes, proteins, drugs, biological pathways, and biotic interactions. More than 10 million such nanopublications have been published, which now form a valuable resource for studies on the domain level of the given Life Science domains as well as on the more technical levels of provenance modeling and heterogeneous Linked Data. We provide here an overview of this combined nanopublication dataset, show the results of some overarching analyses, and describe how it can be accessed and queried.

AB - Nanopublications are a Linked Data format for scholarly data publishing that has received considerable uptake in the last few years. In contrast to the common Linked Data publishing practice, nanopublications work at the granular level of atomic information snippets and provide a consistent container format to attach provenance and metadata at this atomic level. While the nanopublications format is domain-independent, the datasets that have become available in this format are mostly from Life Science domains, including data about diseases, genes, proteins, drugs, biological pathways, and biotic interactions. More than 10 million such nanopublications have been published, which now form a valuable resource for studies on the domain level of the given Life Science domains as well as on the more technical levels of provenance modeling and heterogeneous Linked Data. We provide here an overview of this combined nanopublication dataset, show the results of some overarching analyses, and describe how it can be accessed and queried.

KW - cs.DL

M3 - Conference article in proceeding

T3 - Proceedings of IEEE e-Science

SP - 83

EP - 92

BT - 2018 IEEE 14th International Conference on e-Science (e-Science)

ER -

Kuhn T, Meroño-Peñuela A, Malic A, Poelen JH, Hurlbert AH, Ortiz EC et al. Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. In 2018 IEEE 14th International Conference on e-Science (e-Science). 2018. p. 83-92. (Proceedings of IEEE e-Science).