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

  • External authors:
  • Rudolf Wittner
  • Petr Holub
  • Heimo Müller
  • Jörg Geiger
  • Luca Pirredu
  • Francesca Frexia
  • Cecilia Mascia
  • Elliot Fairweather
  • Jason R. Swedlow
  • Josh Moore
  • Caterina Strambio
  • Gianluigi Zanetti
  • David Grunwald
  • Hiroki Nakae

Standard

ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data. / Wittner, Rudolf; Holub, Petr; Müller, Heimo; Geiger, Jörg; Goble, Carole; Soiland-Reyes, Stian; Pirredu, Luca; Frexia, Francesca; Mascia, Cecilia; Fairweather, Elliot; Swedlow, Jason R.; Moore, Josh; Strambio, Caterina; Zanetti, Gianluigi; Grunwald, David; Nakae, Hiroki.

Lecture Notes in Computer Science. Vol. 12839 Springer Nature, 2021. p. 222-225 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

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

APA

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

Vancouver

Wittner R, Holub P, Müller H, Geiger J, Goble C, Soiland-Reyes S et al. ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data. In Lecture Notes in Computer Science. Vol. 12839. Springer Nature. 2021. p. 222-225. (Lecture Notes in Computer Science). https://doi.org/10.5281/zenodo.3901011, https://doi.org/10.1007/978-3-030-80960-7_16

Author

Wittner, Rudolf ; Holub, Petr ; Müller, Heimo ; Geiger, Jörg ; Goble, Carole ; Soiland-Reyes, Stian ; Pirredu, Luca ; Frexia, Francesca ; Mascia, Cecilia ; Fairweather, Elliot ; Swedlow, Jason R. ; Moore, Josh ; Strambio, Caterina ; Zanetti, Gianluigi ; Grunwald, David ; Nakae, Hiroki. / ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data. Lecture Notes in Computer Science. Vol. 12839 Springer Nature, 2021. pp. 222-225 (Lecture Notes in Computer Science).

Bibtex

@inproceedings{2de955459fd64a5191eedad30058afe5,
title = "ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data",
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",
year = "2021",
month = jul,
day = "9",
doi = "10.5281/zenodo.3901011",
language = "English",
isbn = "978-3-030-80959-1",
volume = "12839",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "222--225",
booktitle = "Lecture Notes in Computer Science",
address = "United States",
note = "4th Provenance Week 2020 ; Conference date: 22-06-2020 Through 22-06-2020",
url = "https://iitdbgroup.github.io/ProvenanceWeek2020/",

}

RIS

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 -