Deep Data Example: Zbiva, Early Medieval Data Set for the Eastern Alps

Author:

Štular Benjamin1,Belak Mateja1

Affiliation:

1. Znanstvenoraziskovalni center Slovenske akademije znanosti in umetnosti, Ljubljana, Slovenia

Abstract

Abstract Zbiva is an open access online research data base for the archaeology of the Eastern Alps in the Early Middle Ages. The data base is the product of four decades of thoughtful digital curation and is continually evolving at the data record level. As such, it is best described by the concept of Deep Data. The authors deposited a subset of the Zbiva data base in a persistent open access repository, Zenodo. This was necessary to ensure stable reference, facilitate the reproducibility of the results, and promote data reuse in their ongoing publication efforts. The deposited data cover the period from 500 to 1000 ce and are spatially restricted to present-day Slovenia, southern Austria, and a small part of north-eastern Italy. The data set is particularly suitable for archaeological gis analyses.

Publisher

Brill

Subject

Computer Science Applications,General Social Sciences,General Arts and Humanities

Reference25 articles.

1. From data to wisdom;Ackoff, R. L.,1989

2. Big data and deep data in scanning and electron microscopies: Deriving functionality from multidimensional data sets;Belianinov, A.,2015

3. Are the fair Data Principles fair?;Dunning, A.,2017

4. Digital mapping of medieval cemeteries: Case studies from Austria and Czechia;Eichert, S.,2021

5. Towards an online database for archaeological landscapes. Using the web based, open source software OpenAtlas for the acquisition, analysis and dissemination of archaeological and historical data on a landscape basis;Filzwieser, R.,2020

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3