DOAJ Open Access 2022

Intrinsic and extrinsic quality of data for open data repositories

Aurora González-Vidal Alfonso P. Ramallo-González Antonio F. Skarmeta

Abstrak

This work assesses the quality of Internet of Things data not only as an intrinsic quality on how well it represents the related phenomenon but also, on how much information it contains to educate an artificial entity. The quality metrics here proposed are tested with real datasets. Also, they are implemented on OpenCPU, so the open data repositories can use them off-the-shelf to rate their datasets without computational cost and minimum human intervention, making them more attractive to potential users and gaining visibility and impact.

Topik & Kata Kunci

Information technology

Penulis (3)

Aurora González-Vidal

Alfonso P. Ramallo-González

Antonio F. Skarmeta

Format Sitasi

APA MLA BibTeX

González-Vidal, A., Ramallo-González, A.P., Skarmeta, A.F. (2022). Intrinsic and extrinsic quality of data for open data repositories. https://doi.org/10.1016/j.icte.2022.06.001

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.1016/j.icte.2022.06.001
Akses: Open Access ✓