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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Open Information Science

ISSN

2451-1781

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

1-20

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105004690265