{"title":"Implementation of information systems for the long-term reuse of data in humanities research","authors":"Thomas Asselborn , Ralf Möller , Sylvia Melzer","doi":"10.1016/j.procs.2025.02.099","DOIUrl":null,"url":null,"abstract":"<div><div>In today’s rapidly evolving business landscape, organizations are increasingly reliant on enterprise information systems (EIS) to effectively manage and utilize their data. These EIS often require significant investment in terms of resources, expertise and infrastructure to develop and maintain. However, the benefits of EIS extend beyond large enterprises, and the principles underlying the approach proposed in this article can be of great benefit to organizations of all sizes, including small and medium-sized enterprises (SMEs). We present a novel approach to build individual information systems with low resources and low overhead, focusing on the long-term reuse of data using humanities research as an example. Although the context is specific to the humanities domain, the underlying concepts and technologies can be easily adapted and applied to the EIS domain and offer several benefits for organizations seeking to optimize their data management and collaboration practices.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"256 ","pages":"Pages 86-92"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877050925004569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In today’s rapidly evolving business landscape, organizations are increasingly reliant on enterprise information systems (EIS) to effectively manage and utilize their data. These EIS often require significant investment in terms of resources, expertise and infrastructure to develop and maintain. However, the benefits of EIS extend beyond large enterprises, and the principles underlying the approach proposed in this article can be of great benefit to organizations of all sizes, including small and medium-sized enterprises (SMEs). We present a novel approach to build individual information systems with low resources and low overhead, focusing on the long-term reuse of data using humanities research as an example. Although the context is specific to the humanities domain, the underlying concepts and technologies can be easily adapted and applied to the EIS domain and offer several benefits for organizations seeking to optimize their data management and collaboration practices.