当前位置:首页 > 报告详情

深入探究元数据质量——欧洲各地的开放数据集.pdf

上传人: 新** 编号:937404 2025-10-15 17页 1.99MB

1、A Deep Dive into Metadata Quality:Open Datasets Across EuropeBarbara libarTeaching Assistant,University ofZagreb,Faculty of Organizationand Informatics,CroatiaEU OPEN DATA DAYS 2025,19-20 MARCH 2025Although the Open Data Movement Emphasises the Availability of Resources,this Does Not Imply That Thos

2、e on the Demand Side will Successfully Search,Discover,or Use Available Resources!0203METADATADATAare all content formats in digital form(text,image,audio,video,etc.)or physical form.are data about the data.Quality is a multidimensional concept,defined by Juran(1951,2010)as“fitness for use”and later

3、 as“fitness for purpose”.Quality cannot be captured by a single indicator/aspect!It is important to include all relevant aspects in order to determinewhether and to what extent something is of quality.04WHAT IS METADATA QUALITY,AND HOW IT CAN BE MEASURED?What Has Been Done SoFar,And WhereAre The Gap

4、s?05To exploreexisting work andidentify gaps.What Has Been Done SoFar,And WhereAre The Gaps?Why Do These GapsNeed To BeAddressed?To exploreexisting work andidentify gaps.To improvemetadata qualityassessment foropen datasets.05What Has Been Done SoFar,And WhereAre The Gaps?Why Do These GapsNeed To Be

5、Addressed?How Can TheseGaps BeAddressed?To exploreexisting work andidentify gaps.To improvemetadata qualityassessment foropen datasets.By developing acomposite indicatorof metadata qualityfor open datasets.0506THEORETICAL STRUCTURE OF THE COMPOSITE INDICATORPRACTITIONERS AND ACADEMICS HAVE DIFFERENT

6、 VIEWS ON THE ASSESSMENT OF THE QUALITY OF METADATA IN OPEN DATASETS!Facilitate comparisons within and betweenportals,and over time.Based onautomaticallyretrieved metadata.CRITERIA FORDEVELOPINGTHE COMPOSITEINDICATOR:Contain indicatorsthat do not depend ondata from a specificportal.Contain indicator

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
根据《A Deep Dive into Metadata Quality: Open Datasets Across Europe》一文,主要内容如下: 1. ** metadata质量的重要性**:文章强调了metadata质量对于开放数据集的重要性,指出质量是“适用性”的多维度概念,不能仅凭单一指标衡量。 2. ** metadata质量评估**:提出了一个综合指标来评估开放数据集的metadata质量,包括可发现性、可检索性、互操作性、可重用性和情境性。 3. ** 指标应用**:该综合指标已应用于31个欧洲国家的数据集,通过比较不同国家的数据集,评估其metadata质量。 4. ** 改进策略**:建议通过以下策略改进metadata质量:理解metadata质量、制定策略和行动计划、提供出版指南并确保质量、利用综合指标进行基准测试。 5. ** 核心数据**:截至2024年10月11日,31个国家在data.europa.eu上拥有超过1000个数据集。
欧洲开放数据质量如何衡量?" "如何提升开放数据集的元数据质量?" "欧洲各国开放数据质量大比拼!"
客服
商务合作
小程序
服务号
折叠