Data and data quality in mathematics

Berčič, Katja (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: mathematical knowledge management, digital mathematics libraries and repositories, computer-assisted mathematics, implementation challenges, data quality dimensions, mathematical data
• Vrsta gradiva: Drugo
• Tipologija: 1.16 - Samostojni znanstveni sestavek ali poglavje v monografski publikaciji
• Organizacija: FMF - Fakulteta za matematiko in fiziko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2026
• Št. strani: 22 str.
• PID: 20.500.12556/RUL-182282
• UDK: 004.6:51
• DOI: 10.5772/intechopen.1013831
• COBISS.SI-ID: 277107715
• Datum objave v RUL: 06.05.2026

Gradivo je del monografije

• Naslov: Data quality matters : best practices for integrity and assurance
• Uredniki: Sebastian Ventura, José M. Luna, Antonio R. Moya Martín-Castaño
• Kraj izida: London
• Založnik: IntechOpen
• Leto izida: 2026
• ISBN: 978-1-83634-985-3
• COBISS.SI-ID: 277104899

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: obdelava podatkov, podatki v matematiki, kvaliteta podatkov

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Številka projekta: FA9550-21-1-0024
• Naslov: /

• Financer: ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
• Številka projekta: P1-0294
• Naslov: Računsko intenzivne metode v teoretičnem računalništvu, diskretni matematiki, kombinatorični optimizaciji ter numerični analizi in algebri z uporabo v naravoslovju in družboslovju