20.500.12556/DiRROS-29285 Data and data quality in mathematics Pure mathematics is often viewed, even by its practitioners, as a discipline in which data play little or no role. Data, when acknowledged at all, are often seen as a byproduct of research rather than a research product in their own right. Yet databases and datasets are increasingly central to the way mathematicians formulate conjectures, test hypotheses, and explore complex structures. Unlike empirical data, data in mathematics often consist of exact values derived from symbolic definitions or computations and commonly describe highly structured objects such as graphs, elliptic curves, or manifolds. This combination of abstraction, precision, and low redundancy poses distinctive challenges for data quality, shifting the focus away from concerns like noise and bias toward correctness, completeness, consistency, and accessibility. mathematical knowledge management digital mathematics libraries and repositories computer-assisted mathematics implementation challenges data quality dimensions mathematical data obdelava podatkov podatki v matematiki kvaliteta podatkov true false true Angleški jezik Slovenski jezik Neznano 2026-05-06 10:55:14 2026-05-06 10:55:14 2026-05-07 03:51:13 0000-00-00 00:00:00 2026 0 0 Nasl. z nasl. zaslona; Opis vira z dne 5. 5. 2026; 22 str. 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.6:51 10.5772/intechopen.1013831 277107715 277104899 1232506-Bercic.pdf 1232506-Bercic.pdf 1 46FC382BB40F4C87A672D46B749B0A5C d56b7d1e6f50bdbadad93767a21b78853370f2a847c97f6db38c3d4a6feb4d39 8e378127-4929-11f1-8a5a-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=43834 https://www.intechopen.com/chapters/1232506 1 4dcf90b4-4929-11f1-8a5a-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=43833 Inštitut za matematiko, fiziko in mehaniko 0 0 0