ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data

Rudolf Wittner; Petr Holub; Heimo Müller; Jörg Geiger; Carole Goble; Stian Soiland-Reyes; Luca Pirredu; Francesca Frexia; Cecilia Mascia; Elliot Fairweather; Jason R. Swedlow; Josh Moore; Caterina Strambio; Gianluigi Zanetti; David Grunwald; Hiroki Nakae

doi:10.5281/zenodo.3901011

ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data

Rudolf Wittner, Petr Holub, Heimo Müller, Jörg Geiger, Carole Goble, Stian Soiland-Reyes, Luca Pirredu, Francesca Frexia, Cecilia Mascia, Elliot Fairweather, Jason R. Swedlow, Josh Moore, Caterina Strambio, Gianluigi Zanetti, David Grunwald, Hiroki Nakae

Information Management

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

194 Downloads (Pure)

Abstract

Exchange of research data and samples in biomedical research has become a common phenomenon demanding for their effective quality assessment. At the same time, several reports address reproducibility of research, where history of biological samples (acquisition, processing, transportation, storage, and retrieval) and data history (data generation and processing) defines their fitness for purpose, and hence their quality. The project aims at developing a comprehensive W3C PROV based provenance information standard intended for the biomedical research domain. The standard is being developed by the working group 5 ("data processing and integration") of the ISO (International Standardisation Organisation) technical committee 276 "biotechnology". The outcome of the project will be published in parts as international standards or technical specifications. The poster informs about the goals of the standardisation activity, presents the proposed structure of the standards, briefly describes its current state and outlines its future development and open issues.

Original language	English
Title of host publication	Lecture Notes in Computer Science
Publisher	Springer Nature
Pages	222-225
Number of pages	4
Volume	12839
ISBN (Electronic)	978-3-030-80960-7
ISBN (Print)	978-3-030-80959-1
DOIs	https://doi.org/10.5281/zenodo.3901011 https://doi.org/10.1007/978-3-030-80960-7_16
Publication status	Published - 9 Jul 2021
Event	4th Provenance Week 2020 - Virtual, United States Duration: 22 Jun 2020 → 22 Jun 2020 Conference number: 4 https://iitdbgroup.github.io/ProvenanceWeek2020/

Publication series

Name	Lecture Notes in Computer Science

Conference

Conference	4th Provenance Week 2020
Country/Territory	United States
City	Virtual
Period	22/06/20 → 22/06/20
Internet address	https://iitdbgroup.github.io/ProvenanceWeek2020/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5281/zenodo.3901011Licence: CC BY
10.1007/978-3-030-80960-7_16

ProvenanceWeek_2020_Poster__ISO_23494_Provenance_LNCS_format (1)Proof, 645 KBLicence: CC BY

https://zenodo.org/record/5084574Licence: CC BY

1 Preprint

Towards a Common Standard for Data and Specimen Provenance in Life Sciences
Holub, P., Wittner, R., Mascia, C., Frexia, F., Müller, H., Plass, M., Allocca, C., Betsou, F., Burdett, T., Cancio, I., Chapman, A., Chapman, M., Courtot, M., Curcin, V., Eder, J., Elliot, M., Exter, K., Fairweather, E., Goble, C. & Golebiewski, M. & 16 others, Kisler, B., Kremer, A., Lin-Gibson, S., Marsano, A., Mattavelli, M., Moore, J., Nakae, H., Perseil, I., Salman, A., Sluka, J., Soiland-Reyes, S., Strambio-De-Castillia, C., Sussman, M., Swedlow, J., Zatloukal, K. & Geiger, J., 2021, 12 p. (Zenodo).
Research output: Preprint/Working paper › Preprint

File
87 Downloads (Pure)

2 Hosting an academic visitor

Rudolf Wittner
Soiland-Reyes, S. (Host)
11 Jul 2022 → 22 Jul 2022
Activity: Hosting a visitor › Hosting an academic visitor › Research
Rudolf Wittner
Soiland-Reyes, S. (Host) & Goble, C. (Host)
13 Jun 2019 → 24 Jun 2019
Activity: Hosting a visitor › Hosting an academic visitor › Research

Cite this

Wittner, R., Holub, P., Müller, H., Geiger, J., Goble, C., Soiland-Reyes, S., Pirredu, L., Frexia, F., Mascia, C., Fairweather, E., Swedlow, J. R., Moore, J., Strambio, C., Zanetti, G., Grunwald, D., & Nakae, H. (2021). ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data. In Lecture Notes in Computer Science (Vol. 12839, pp. 222-225). (Lecture Notes in Computer Science). Springer Nature. https://doi.org/10.5281/zenodo.3901011, https://doi.org/10.1007/978-3-030-80960-7_16

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abstract = "Exchange of research data and samples in biomedical research has become a common phenomenon demanding for their effective quality assessment. At the same time, several reports address reproducibility of research, where history of biological samples (acquisition, processing, transportation, storage, and retrieval) and data history (data generation and processing) defines their fitness for purpose, and hence their quality. The project aims at developing a comprehensive W3C PROV based provenance information standard intended for the biomedical research domain. The standard is being developed by the working group 5 ({"}data processing and integration{"}) of the ISO (International Standardisation Organisation) technical committee 276 {"}biotechnology{"}. The outcome of the project will be published in parts as international standards or technical specifications. The poster informs about the goals of the standardisation activity, presents the proposed structure of the standards, briefly describes its current state and outlines its future development and open issues.",

author = "Rudolf Wittner and Petr Holub and Heimo M{\"u}ller and J{\"o}rg Geiger and Carole Goble and Stian Soiland-Reyes and Luca Pirredu and Francesca Frexia and Cecilia Mascia and Elliot Fairweather and Swedlow, {Jason R.} and Josh Moore and Caterina Strambio and Gianluigi Zanetti and David Grunwald and Hiroki Nakae",

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language = "English",

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volume = "12839",

series = "Lecture Notes in Computer Science",

publisher = "Springer Nature",

pages = "222--225",

booktitle = "Lecture Notes in Computer Science",

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Wittner, R, Holub, P, Müller, H, Geiger, J, Goble, C , Soiland-Reyes, S, Pirredu, L, Frexia, F, Mascia, C, Fairweather, E, Swedlow, JR, Moore, J, Strambio, C, Zanetti, G, Grunwald, D & Nakae, H 2021, ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data. in Lecture Notes in Computer Science. vol. 12839, Lecture Notes in Computer Science, Springer Nature, pp. 222-225, 4th Provenance Week 2020, Virtual, United States, 22/06/20. https://doi.org/10.5281/zenodo.3901011, https://doi.org/10.1007/978-3-030-80960-7_16

TY - GEN

T1 - ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data

AU - Wittner, Rudolf

AU - Holub, Petr

AU - Müller, Heimo

AU - Geiger, Jörg

AU - Goble, Carole

AU - Soiland-Reyes, Stian

AU - Pirredu, Luca

AU - Frexia, Francesca

AU - Mascia, Cecilia

AU - Fairweather, Elliot

AU - Swedlow, Jason R.

AU - Moore, Josh

AU - Strambio, Caterina

AU - Zanetti, Gianluigi

AU - Grunwald, David

AU - Nakae, Hiroki

N1 - Conference code: 4

PY - 2021/7/9

Y1 - 2021/7/9

N2 - Exchange of research data and samples in biomedical research has become a common phenomenon demanding for their effective quality assessment. At the same time, several reports address reproducibility of research, where history of biological samples (acquisition, processing, transportation, storage, and retrieval) and data history (data generation and processing) defines their fitness for purpose, and hence their quality. The project aims at developing a comprehensive W3C PROV based provenance information standard intended for the biomedical research domain. The standard is being developed by the working group 5 ("data processing and integration") of the ISO (International Standardisation Organisation) technical committee 276 "biotechnology". The outcome of the project will be published in parts as international standards or technical specifications. The poster informs about the goals of the standardisation activity, presents the proposed structure of the standards, briefly describes its current state and outlines its future development and open issues.

AB - Exchange of research data and samples in biomedical research has become a common phenomenon demanding for their effective quality assessment. At the same time, several reports address reproducibility of research, where history of biological samples (acquisition, processing, transportation, storage, and retrieval) and data history (data generation and processing) defines their fitness for purpose, and hence their quality. The project aims at developing a comprehensive W3C PROV based provenance information standard intended for the biomedical research domain. The standard is being developed by the working group 5 ("data processing and integration") of the ISO (International Standardisation Organisation) technical committee 276 "biotechnology". The outcome of the project will be published in parts as international standards or technical specifications. The poster informs about the goals of the standardisation activity, presents the proposed structure of the standards, briefly describes its current state and outlines its future development and open issues.

U2 - 10.5281/zenodo.3901011

DO - 10.5281/zenodo.3901011

M3 - Conference contribution

SN - 978-3-030-80959-1

VL - 12839

T3 - Lecture Notes in Computer Science

SP - 222

EP - 225

BT - Lecture Notes in Computer Science

PB - Springer Nature

T2 - 4th Provenance Week 2020

Y2 - 22 June 2020 through 22 June 2020

ER -

ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data

Abstract

Publication series

Conference

UN SDGs

Access to Document

Fingerprint

Research output

Towards a Common Standard for Data and Specimen Provenance in Life Sciences

Activities

Rudolf Wittner

Rudolf Wittner

Cite this