FASED: A Framework for Data Ecosystems Health Evaluation

Glória de Fátima B. Lima, Marcelo Iury S. Oliveira, Bernadette Farias Lóscio
{"title":"FASED: A Framework for Data Ecosystems Health Evaluation","authors":"Glória de Fátima B. Lima, Marcelo Iury S. Oliveira, Bernadette Farias Lóscio","doi":"10.5753/jidm.2022.2511","DOIUrl":null,"url":null,"abstract":"The growing availability of data in digital media has contributed to the creation of a large number of data ecosystems. However, having successful Data Ecosystem is still a challenge. In order to prevent the failure of a Data Ecosystem and ensure its survival, evaluating its health becomes fundamental. In a general way, the health of a Data Ecosystem can be defined as its ability to grow and survive over time. Indicators such as productivity, robustness, niche creation and sustainability can be employed to evaluate the health of a Data Ecosystem. In this paper, we propose a framework for data Ecosystem health evaluation composed of a set of indicators and metrics, which assess the Data Ecosystem’s current state and its ability to stay healthy over time. The results obtained when using the proposed framework offers evidence to assist in decision making on how data has being published and consumed in a Data Ecosystem, as well as to evaluate which ecosystems are more prosperous or need more investments.","PeriodicalId":293511,"journal":{"name":"Journal of Information and Data Management","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information and Data Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/jidm.2022.2511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The growing availability of data in digital media has contributed to the creation of a large number of data ecosystems. However, having successful Data Ecosystem is still a challenge. In order to prevent the failure of a Data Ecosystem and ensure its survival, evaluating its health becomes fundamental. In a general way, the health of a Data Ecosystem can be defined as its ability to grow and survive over time. Indicators such as productivity, robustness, niche creation and sustainability can be employed to evaluate the health of a Data Ecosystem. In this paper, we propose a framework for data Ecosystem health evaluation composed of a set of indicators and metrics, which assess the Data Ecosystem’s current state and its ability to stay healthy over time. The results obtained when using the proposed framework offers evidence to assist in decision making on how data has being published and consumed in a Data Ecosystem, as well as to evaluate which ecosystems are more prosperous or need more investments.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于:数据生态系统健康评估框架
数字媒体中数据的可用性日益增加,促进了大量数据生态系统的创建。然而,拥有一个成功的数据生态系统仍然是一个挑战。为了防止数据生态系统的失败并确保其生存,评估其健康状况变得至关重要。一般来说,数据生态系统的健康状况可以定义为其随时间增长和生存的能力。生产率、稳健性、生态位创造和可持续性等指标可用于评估数据生态系统的健康状况。在本文中,我们提出了一个由一组指标和度量组成的数据生态系统健康评估框架,用于评估数据生态系统的当前状态及其随时间保持健康的能力。使用拟议框架时获得的结果为数据生态系统中如何发布和消费数据的决策提供了证据,并评估哪些生态系统更繁荣或需要更多投资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Capturing Provenance from Deep Learning Applications Using Keras-Prov and Colab: a Practical Approach Searching for Researchers: an Ontology-based NoSQL Database System Approach and Practical Implementation Consistent Design of Relational Databases using EERCASE Scientific Collaboration Network Views: A Brazilian Computer Science Graduate Programs Case Evaluation of Automatic Speech Recognition Approaches
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1