MIM: A Minimum Information Model Vocabulary and Framework for Scientific Linked Data
Authors | Matthew Gamble Carole Anne Goble Graham Klyne Jun Q. Zhao |
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Publication date | 2012 |
ISBN | 978-146734467-8 |
DOI | 10.1109/eScience.2012.6404489 |
Links |
MIM: A Minimum Information Model Vocabulary and Framework for Scientific Linked Data - scientific work about Wikipedia quality published in 2012, written by Matthew Gamble, Carole Anne Goble, Graham Klyne and Jun Q. Zhao.
Overview
Linked Data holds great promise in the Life Sciences as a platform to enable an interoperable data commons, supporting new opportunities for discovery. Minimum Information Checklists have emerged within the Life Sciences as a means of standardising the reporting of experiments in an effort to increase the quality and reusability of the reported data. Existing tooling built around these checklists is aimed at supporting experimental scientists in the production of experiment reports that are compliant. It remains a challenge to quickly and easily assess an arbitrary set of data against these checklists. Authors present the MIM (Minimum Information Model) vocabulary and framework which aims to provide a practical, and scalable approach to describing and assessing Linked Data against minimum information checklists. The MIM framework aims to support three core activities: (1) publishing well described minimum information checklists in RDF as Linked Data; (2) publishing Linked Data against these checklists; and (3) validating existing "in the wild" Linked Data against a published checklist. Authors discuss the design considerations of the vocabulary and present its main classes. Authors demonstrate the utility of the framework with a checklist designed for the publishing of Chemical Structure Linked Data using data extracted from Wikipedia as an example.
Embed
Wikipedia Quality
Gamble, Matthew; Goble, Carole Anne; Klyne, Graham; Zhao, Jun Q.. (2012). "[[MIM: A Minimum Information Model Vocabulary and Framework for Scientific Linked Data]]". International Journal of Intelligent Systems Volume 27, Issue 12, December 2012, pp. 1034-1048. ISBN: 978-146734467-8. DOI: 10.1109/eScience.2012.6404489.
English Wikipedia
{{cite journal |last1=Gamble |first1=Matthew |last2=Goble |first2=Carole Anne |last3=Klyne |first3=Graham |last4=Zhao |first4=Jun Q. |title=MIM: A Minimum Information Model Vocabulary and Framework for Scientific Linked Data |date=2012 |isbn=978-146734467-8 |doi=10.1109/eScience.2012.6404489 |url=https://wikipediaquality.com/wiki/MIM:_A_Minimum_Information_Model_Vocabulary_and_Framework_for_Scientific_Linked_Data |journal=International Journal of Intelligent Systems Volume 27, Issue 12, December 2012, pp. 1034-1048}}
HTML
Gamble, Matthew; Goble, Carole Anne; Klyne, Graham; Zhao, Jun Q.. (2012). "<a href="https://wikipediaquality.com/wiki/MIM:_A_Minimum_Information_Model_Vocabulary_and_Framework_for_Scientific_Linked_Data">MIM: A Minimum Information Model Vocabulary and Framework for Scientific Linked Data</a>". International Journal of Intelligent Systems Volume 27, Issue 12, December 2012, pp. 1034-1048. ISBN: 978-146734467-8. DOI: 10.1109/eScience.2012.6404489.