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When Data Meets the Past: Data Collection, Sharing, and Reuse in Ancient World Studies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A5LAU7NM9" target="_blank" >RIV/00216208:11320/26:5LAU7NM9 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1515/opis-2025-0014" target="_blank" >http://dx.doi.org/10.1515/opis-2025-0014</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/opis-2025-0014" target="_blank" >10.1515/opis-2025-0014</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    When Data Meets the Past: Data Collection, Sharing, and Reuse in Ancient World Studies

  • Original language description

    This article explores the challenges and opportunities of adopting data-driven approaches in Ancient World (AW) studies, focusing on the complexities of data collection, curation, and analysis in the field. We address issues such as defining data for AW studies, as well as data fragmentation, standardization, and interoperability. We propose solutions to enhance data accessibility, collaboration, and reuse, demonstrating that adopting standardized formats and adhering to FAIR principles can improve data sharing and enable large-scale, interdisciplinary research. Importantly, we highlight how qualitative and quantitative approaches can coexist, enriching the field. We also review different past and ongoing initiatives supporting data-driven methodologies in AW studies and advocate for their continued expansion. Lastly, we discuss the rise of data papers as a transformative tool for bridging traditional scholarship and digital methodologies, emphasizing the importance of data sets and their potential for reuse in advancing the field. © 2025 the author(s), published by De Gruyter.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Open Information Science

  • ISSN

    2451-1781

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    1-20

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-105004690265