从业人员电子证照PDF版式

该数据包含了浙江省2006，从业人员电子证照PDF版式信息，由省交通运输厅提供，属于交通运输领域的政务数据资源，更新频率为每日。本数据以从业人员电子证照PDF版式相关业务办理数据为基础，涵盖了唯一自增序列号、I 插入 U 更新 D 删除、ODS源表数据同步时间、是否更新前数据：Y 是 N 否、是否更新后数据：Y 是 N 否、业务主键、姓名、性别、出生日期、国籍、现住地址、证件号码、准驾车型、从业资格类别代码、从业资格类别名称、有效期起、有效期止、核发机关代码、核发机关名称、发证日期、继续教育开始日期、继续教育结束日期、继续教育方式、诚信考核周期起、诚信考核周期止、诚信考核结果等级、创建时间、更新时间、人员照片路径、二维码路径、电子证照地址(由提供方返回)、逻辑删除、行政区划代码、行政区划名称、签名hash 值、签名值、签名时间戳、签名公钥证书（根据签名证书解析）、生成pdf 版式文件的oss 地址等核心业务字段，通过标准化数据归集与清洗处理，可有效支撑交通运输领域的业务监管、合规核查、统计分析与数字化管理，提升相关业务办理的时效性、准确性与规范化水平。This dataset contains PDF-format electronic license information for practitioners in Zhejiang Province (2006 data), provided by the Zhejiang Provincial Department of Transportation. It falls under government data resources in the transportation sector, with a daily update frequency. Based on business operation data related to the PDF-format electronic licenses of these practitioners, this dataset covers the following core business fields: unique auto-incrementing serial number, I (Insert), U (Update), D (Delete) operation markers, ODS source table data synchronization time, pre-update data flag (Y for yes, N for no), post-update data flag (Y for yes, N for no), business primary key, full name, gender, date of birth, nationality, current residential address, ID number, permitted driving type, qualification category code, qualification category name, validity start date, validity end date, issuing authority code, issuing authority name, issuing date, continuing education start date, continuing education end date, continuing education method, integrity assessment cycle start date, integrity assessment cycle end date, integrity assessment result grade, creation time, update time, personnel photo path, QR code path, electronic license address (returned by the data provider), logical deletion flag, administrative division code, administrative division name, signature hash value, signature value, signature timestamp, signature public key certificate (parsed from the signature certificate), and OSS address for generating PDF-format documents. After standardized data collection, aggregation and cleaning processing, this dataset can effectively support business supervision, compliance verification, statistical analysis and digital management in the transportation sector, and enhance the timeliness, accuracy and standardization of relevant business handling.