dc.contributor.author | Peng, G.. | |
dc.contributor.author | Lacagnina, C. | |
dc.contributor.author | Downs, R.R. | |
dc.contributor.author | Ganske, A. | |
dc.contributor.author | Ramapriyan, H.K. | |
dc.contributor.author | Ivánová, I. | |
dc.contributor.author | Wyborn, L. | |
dc.contributor.author | Jones, D. | |
dc.contributor.author | Bastin, L. | |
dc.contributor.author | Shie, C-L, | |
dc.contributor.author | Moroni, D.F. | |
dc.date.accessioned | 2022-05-24T13:32:34Z | |
dc.date.available | 2022-05-24T13:32:34Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Peng, G., Lacagnina, C., Downs, R.R., Ganske, A., Ramapriyan, H.K., Ivánová, I., Wyborn, L., Jones, D., Bastin, L., Shie, C.-L. and Moroni, D.F., 2022. Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets. Data Science Journal, 21:008, 20pp.. DOI: http://doi.org/10.5334/dsj-2022-008 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/1934 | |
dc.description.abstract | Open-source science builds on open and free resources that include data, metadata,
software, and workflows. Informed decisions on whether and how to (re)use digital
datasets are dependent on an understanding about the quality of the underpinning
data and relevant information. However, quality information, being difficult to curate
and often context specific, is currently not readily available for sharing within and
across disciplines. To help address this challenge and promote the creation and (re)
use of freely and openly shared information about the quality of individual datasets,
members of several groups around the world have undertaken an effort to develop
international community guidelines with practical recommendations for the Earth
science community, collaborating with international domain experts. The guidelines
were inspired by the guiding principles of being findable, accessible, interoperable,
and reusable (FAIR). Use of the FAIR dataset quality information guidelines is intended
to help stakeholders, such as scientific data centers, digital data repositories, and
producers, publishers, stewards and managers of data, to: i) capture, describe, and
represent quality information of their datasets in a manner that is consistent with the
FAIR Guiding Principles; ii) allow for the maximum discovery, trust, sharing, and reuse of
their datasets; and iii) enable international access to and integration of dataset quality
information. This article describes the processes that developed the guidelines that
are aligned with the FAIR principles, presents a generic quality assessment workflow,
describes the guidelines for preparing and disseminating dataset quality information,
and outlines a path forward to improve their disciplinary diversity | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Data quality | en_US |
dc.subject.other | Open-source science | en_US |
dc.subject.other | FAIR guidelines | en_US |
dc.subject.other | Metadata | en_US |
dc.title | Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 20pp. | en_US |
dc.identifier.doi | https://doi. org/10.5334/dsj-2022-008 | |
dc.subject.parameterDiscipline | Cross-discipline | en_US |
dc.subject.dmProcesses | Metadata management | en_US |
dc.subject.dmProcesses | Data quality management | en_US |
dc.bibliographicCitation.title | Data Science Journal | en_US |
dc.bibliographicCitation.volume | 21 | en_US |
dc.bibliographicCitation.issue | Article 8 | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.methodologyType | Specification of criteria | en_US |
obps.contact.contactname | Ge Peng | |
obps.contact.contactemail | gpeng93@gmail.com | |
obps.resourceurl.publisher | https://datascience.codata.org/articles/10.5334/dsj-2022-008/ | |