Veracity (data)

According to [1] data veracity depends on whether the data is

objective
thruthful
credible

In [2]it is shown that the veracity of data source (webpage) begins with the question whether the source contains a dataset at all or e.g. only mimicks to have data to attract web traffic.

[3]

Veracity is one of 5 Big V's of big data.

References

Lukoianova, Victoria; Rubin, Victoria L. (2013). "Veracity Roadmap: Is Big Data Objective, Truthful and Credible?". Advances in Classification Research Online. 24: 4. doi:10.7152/acro.v24i1.14671.
Alrashed, Tarfah; Paparas, Dimitris; Benjelloun, Omar; Sheng, Ying (2021). "Dataset or Not? A Study on the Veracity of Semantic Markup for Dataset Pages". ISWC 2021. Springer. pp. 338–356.
Reimer, Andrew P.; Madigan, Elisabeth A (2018). "Veracity in big data: How good is good enough". SAGE Publications. 25 (4): 1290–1298. doi:10.1177/1460458217744369. PMID 29388495. S2CID 13244165. Retrieved 2021-11-02.

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[1] Lukoianova, Victoria; Rubin, Victoria L. (2013). "Veracity Roadmap: Is Big Data Objective, Truthful and Credible?". Advances in Classification Research Online. 24: 4. doi:10.7152/acro.v24i1.14671.

[2] Alrashed, Tarfah; Paparas, Dimitris; Benjelloun, Omar; Sheng, Ying (2021). "Dataset or Not? A Study on the Veracity of Semantic Markup for Dataset Pages". ISWC 2021. Springer. pp. 338–356.

[3] Reimer, Andrew P.; Madigan, Elisabeth A (2018). "Veracity in big data: How good is good enough". SAGE Publications. 25 (4): 1290–1298. doi:10.1177/1460458217744369. PMID 29388495. S2CID 13244165. Retrieved 2021-11-02.