Rongbin Li, Avisha Das, Yuntao Yang, Zhao Li, Na Hong, Hua Xu, Maryann Martone, W Jim Zheng
{"title":"A birth certificate for data to improve findability, accountability, and traceability.","authors":"Rongbin Li, Avisha Das, Yuntao Yang, Zhao Li, Na Hong, Hua Xu, Maryann Martone, W Jim Zheng","doi":"10.1093/nargab/lqag037","DOIUrl":null,"url":null,"abstract":"<p><p>Data quality is the foundational to scientific research and the rapid advancement of artificial intelligence. Ensuring data quality, provenance, and reproducibility requires robust mechanisms for traceability and accountability from the moment data are created. We propose the concept of a Data Birth Certificate, a universal framework for identifying research data at creation with built-in provenance information, including time, location, and data creator. Unlike existing identifiers assigned at deposition, a Data Birth Certificate establishes immutable, origin-centered traceability that complements established principles of Findability, Accessibility, Interoperability, and Reusability (FAIR). By capturing essential metadata at data generation, Data Birth Certificates support reliable data tracking, accountability, and downstream information management without constraining how data are stored or reused. This perspective outlines the conceptual framework, distinguishes it from existing identifier systems, and discusses its potential role in strengthening research reproducibility and data stewardship across scientific domains.</p>","PeriodicalId":33994,"journal":{"name":"NAR Genomics and Bioinformatics","volume":"8 2","pages":"lqag037"},"PeriodicalIF":3.0000,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13069677/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NAR Genomics and Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/nargab/lqag037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Data quality is the foundational to scientific research and the rapid advancement of artificial intelligence. Ensuring data quality, provenance, and reproducibility requires robust mechanisms for traceability and accountability from the moment data are created. We propose the concept of a Data Birth Certificate, a universal framework for identifying research data at creation with built-in provenance information, including time, location, and data creator. Unlike existing identifiers assigned at deposition, a Data Birth Certificate establishes immutable, origin-centered traceability that complements established principles of Findability, Accessibility, Interoperability, and Reusability (FAIR). By capturing essential metadata at data generation, Data Birth Certificates support reliable data tracking, accountability, and downstream information management without constraining how data are stored or reused. This perspective outlines the conceptual framework, distinguishes it from existing identifier systems, and discusses its potential role in strengthening research reproducibility and data stewardship across scientific domains.