The Basics of Data Integrity

We often talk about making data FAIR (findable, accessible, interoperable, and reusable), but what about data accuracy, reliability, and consistency? Research data are constantly being moved through stages of collection, storage, transfer, archiving, and destruction. This movement comes at a cost, as files stored or transferred incorrectly may be unusable or incomplete. This session will cover the basics of data integrity, from collection to validation.

我们常提及让数据遵循FAIR（可发现（Findable）、可访问（Accessible）、可互操作（Interoperable）、可复用（Reusable））原则，却往往忽略了数据的准确性、可靠性与一致性该如何保障。科研数据始终处于采集、存储、传输、归档乃至销毁的全流程流转之中，此类流转均需付出相应成本：若文件存储或传输操作失当，可能导致数据无法使用或出现内容缺失。本次专题环节将围绕数据完整性的基础知识展开，涵盖从数据采集到验证的全流程。