{"title":"克服能源领域数据空间实施过程中的挑战和障碍的最佳实践:经验报告","authors":"Sebastian Copei , Linda Rülicke","doi":"10.1016/j.dib.2025.111838","DOIUrl":null,"url":null,"abstract":"<div><div>With multiple national and international data space projects, the drive of this technology may change data-sharing processes disruptively. With the promise of sovereign, secured, and trustful data exchange, a data space seems perfect for closing the gap in inter-company communication through various domains. The energy domain in Germany is also currently in the digital transformation stage. With complex processes across multiple companies in regulated and unregulated scopes, the rigorous fulfillment of the General Data Protection Regulation (GDPR) and national security requirements is mandatory. However, data spaces seem to be a possible technology that can fulfill the requirements while allowing flexibility in implementing all needed processes. With this paper, we want to share our experiences with the implementation of a data space in the German energy domain. In addition to the general challenges and barriers that occur while creating a data space, we will outline specific challenges and barriers from the energy domain in Germany. Furthermore, we will present our solutions to overcome some of these challenges and barriers and collect them as Best Practices that can be adopted from other data space initiatives.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111838"},"PeriodicalIF":1.4000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Best Practices to overcome challenges and barriers during the implementation of a data space for the energy domain: An experience report\",\"authors\":\"Sebastian Copei , Linda Rülicke\",\"doi\":\"10.1016/j.dib.2025.111838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With multiple national and international data space projects, the drive of this technology may change data-sharing processes disruptively. With the promise of sovereign, secured, and trustful data exchange, a data space seems perfect for closing the gap in inter-company communication through various domains. The energy domain in Germany is also currently in the digital transformation stage. With complex processes across multiple companies in regulated and unregulated scopes, the rigorous fulfillment of the General Data Protection Regulation (GDPR) and national security requirements is mandatory. However, data spaces seem to be a possible technology that can fulfill the requirements while allowing flexibility in implementing all needed processes. With this paper, we want to share our experiences with the implementation of a data space in the German energy domain. In addition to the general challenges and barriers that occur while creating a data space, we will outline specific challenges and barriers from the energy domain in Germany. Furthermore, we will present our solutions to overcome some of these challenges and barriers and collect them as Best Practices that can be adopted from other data space initiatives.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"61 \",\"pages\":\"Article 111838\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340925005657\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340925005657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Best Practices to overcome challenges and barriers during the implementation of a data space for the energy domain: An experience report
With multiple national and international data space projects, the drive of this technology may change data-sharing processes disruptively. With the promise of sovereign, secured, and trustful data exchange, a data space seems perfect for closing the gap in inter-company communication through various domains. The energy domain in Germany is also currently in the digital transformation stage. With complex processes across multiple companies in regulated and unregulated scopes, the rigorous fulfillment of the General Data Protection Regulation (GDPR) and national security requirements is mandatory. However, data spaces seem to be a possible technology that can fulfill the requirements while allowing flexibility in implementing all needed processes. With this paper, we want to share our experiences with the implementation of a data space in the German energy domain. In addition to the general challenges and barriers that occur while creating a data space, we will outline specific challenges and barriers from the energy domain in Germany. Furthermore, we will present our solutions to overcome some of these challenges and barriers and collect them as Best Practices that can be adopted from other data space initiatives.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.