JRC Data Catalogue
DATASETCompleted

EURL ECVAM Review of non-animal models in biomedical research - Respiratory tract diseases

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Respiratory diseases are a leading cause of death and disability worldwide. Research on human diseases relies extensively on animal models, however, effective new therapies for serious respiratory conditions are still lacking.

The European Commission’s Joint Research Centre (JRC) has carried out an extensive review of advanced non-animal models being used for basic and applied research into respiratory tract diseases. Researchers characterised and catalogued 284 models to make them more accessible for human relevant studies that avoid the use of animals.

The review has been compiled by EcoMole Ltd, Humane Society UK, and Prof Ian Adcock (Imperial College London UK) for EURL ECVAM (Joint Research Centre, Directorate for Health, Consumers and Reference Materials, Chemicals Safety and Alternative Methods Unit; contract number: JRC/IPR/2017/F.3/0050/O)

Contributors

How to cite

European Commission, Joint Research Centre (2026): EURL ECVAM Review of non-animal models in biomedical research - Respiratory tract diseases. [Dataset] doi: 10.2905/JRC.R8403W8 PID: http://data.europa.eu/89h/176d71e6-5082-4b29-8472-b719f6bda323

Keywords

biomedicalnon-animalrespiratory

Data access

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • This dataset contains 284 non-animal models in the field of Respiratory Tract Diseases, including information on their applications, biological relevance, diseases area, and level of throughput. This collection aims to cover all existing and in-development non-animal approaches to respiratory disease modelling, including but not confined to in vitro, in silico and ex vivo approaches.

Publications

Publication
Hynes, J., Marshall, L., Adcock, I., Novotny, T., Nic, M., Dibusz, K., Gribaldo, L. and Whelan, M., Advanced Non-animal Models in Biomedical Research: Respiratory Tract Diseases, EUR 30334 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-21380-2 (online), 978-92-76-21381-9 (print), doi:10.2760/725821 (online), 10.2760/52671 (print), JRC118161.
Publication
Gribaldo, L. and Whelan, M., Advanced Non-animal Models in Biomedical Research: Respiratory Tract Diseases: Executive Summary, EUR 30334 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-21383-3 (online), 978-92-76-21382-6 (print), doi:10.2760/428970 (online), 10.2760/914959 (print), JRC118161.

Temporal coverage

From date To date
2007-01-01 2018-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-f3-enquiries (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
European Union
Issued date
2020-08-31
Created date
12 Sep 2019 09:33
Modified date
27 Jul 2021 14:30
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Dataset identifier
Other identifiers
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