A lightweight approach to research object data packagingCitation formats

Standard

A lightweight approach to research object data packaging. / Ó Carragáin, Eoghan ; Goble, Carole; Sefton, Peter; Soiland-Reyes, Stian.

2019. Abstract from Bioinformatics Open Source Conference (BOSC) 2019, Basel, Switzerland.

Research output: Contribution to conferenceAbstractpeer-review

Harvard

Ó Carragáin, E, Goble, C, Sefton, P & Soiland-Reyes, S 2019, 'A lightweight approach to research object data packaging', Bioinformatics Open Source Conference (BOSC) 2019, Basel, Switzerland, 24/07/19 - 25/07/19. https://doi.org/10.5281/zenodo.3250687

APA

Ó Carragáin, E., Goble, C., Sefton, P., & Soiland-Reyes, S. (2019). A lightweight approach to research object data packaging. Abstract from Bioinformatics Open Source Conference (BOSC) 2019, Basel, Switzerland. https://doi.org/10.5281/zenodo.3250687

Vancouver

Ó Carragáin E, Goble C, Sefton P, Soiland-Reyes S. A lightweight approach to research object data packaging. 2019. Abstract from Bioinformatics Open Source Conference (BOSC) 2019, Basel, Switzerland. https://doi.org/10.5281/zenodo.3250687

Author

Ó Carragáin, Eoghan ; Goble, Carole ; Sefton, Peter ; Soiland-Reyes, Stian. / A lightweight approach to research object data packaging. Abstract from Bioinformatics Open Source Conference (BOSC) 2019, Basel, Switzerland.

Bibtex

@conference{5bbfec095ff743a8a333eb0eb0eda6f5,
title = "A lightweight approach to research object data packaging",
abstract = "A Research Object (RO) provides a machine-readable mechanism to communicate the diverse set of digital and real-world resources that contribute to an item of research. The aim of an RO is to evolve from traditional academic publication as a static PDF, to rather provide a complete and structured archive of the items (such as people, organisations, funding, equipment, software etc) that contributed to the research outcome, including their identifiers, provenance, relations and annotations.This is of particular importance as all domains of research and science are increasingly relying on computational analysis, yet we are facing a reproducibility crisis because key components are often not sufficiently tracked, archived or reported.Here we propose Research Object Crate (or RO-Crate for short), an emerging lightweight approach to packaging research data with their structured metadata, rephrasing the Research Object model as schema.org annotations to formalize a JSON-LD format that can be used independently of infrastructure, e.g. in GitHub or Zenodo archives. RO-Crate can be extended for domain-specific descriptions, aiming at a wide variety of applications and repositories to encourage FAIR sharing of reproducible datasets and analytical methods.",
keywords = "data packaging, research object, linked data",
author = "{{\'O} Carrag{\'a}in}, Eoghan and Carole Goble and Peter Sefton and Stian Soiland-Reyes",
note = "Abstract accepted for short talk at BOSC2019; Bioinformatics Open Source Conference (BOSC) 2019, BOSC2019 ; Conference date: 24-07-2019 Through 25-07-2019",
year = "2019",
month = jun,
day = "20",
doi = "https://doi.org/10.5281/zenodo.3250687",
language = "English",
url = "https://www.open-bio.org/events/bosc/",

}

RIS

TY - CONF

T1 - A lightweight approach to research object data packaging

AU - Ó Carragáin, Eoghan

AU - Goble, Carole

AU - Sefton, Peter

AU - Soiland-Reyes, Stian

N1 - Conference code: 2019

PY - 2019/6/20

Y1 - 2019/6/20

N2 - A Research Object (RO) provides a machine-readable mechanism to communicate the diverse set of digital and real-world resources that contribute to an item of research. The aim of an RO is to evolve from traditional academic publication as a static PDF, to rather provide a complete and structured archive of the items (such as people, organisations, funding, equipment, software etc) that contributed to the research outcome, including their identifiers, provenance, relations and annotations.This is of particular importance as all domains of research and science are increasingly relying on computational analysis, yet we are facing a reproducibility crisis because key components are often not sufficiently tracked, archived or reported.Here we propose Research Object Crate (or RO-Crate for short), an emerging lightweight approach to packaging research data with their structured metadata, rephrasing the Research Object model as schema.org annotations to formalize a JSON-LD format that can be used independently of infrastructure, e.g. in GitHub or Zenodo archives. RO-Crate can be extended for domain-specific descriptions, aiming at a wide variety of applications and repositories to encourage FAIR sharing of reproducible datasets and analytical methods.

AB - A Research Object (RO) provides a machine-readable mechanism to communicate the diverse set of digital and real-world resources that contribute to an item of research. The aim of an RO is to evolve from traditional academic publication as a static PDF, to rather provide a complete and structured archive of the items (such as people, organisations, funding, equipment, software etc) that contributed to the research outcome, including their identifiers, provenance, relations and annotations.This is of particular importance as all domains of research and science are increasingly relying on computational analysis, yet we are facing a reproducibility crisis because key components are often not sufficiently tracked, archived or reported.Here we propose Research Object Crate (or RO-Crate for short), an emerging lightweight approach to packaging research data with their structured metadata, rephrasing the Research Object model as schema.org annotations to formalize a JSON-LD format that can be used independently of infrastructure, e.g. in GitHub or Zenodo archives. RO-Crate can be extended for domain-specific descriptions, aiming at a wide variety of applications and repositories to encourage FAIR sharing of reproducible datasets and analytical methods.

KW - data packaging

KW - research object

KW - linked data

UR - http://www.researchobject.org/ro-crate/

U2 - https://doi.org/10.5281/zenodo.3250687

DO - https://doi.org/10.5281/zenodo.3250687

M3 - Abstract

T2 - Bioinformatics Open Source Conference (BOSC) 2019

Y2 - 24 July 2019 through 25 July 2019

ER -