数据采集和管理(说明:数据采集和管理由两部分组成,一为病例记录表(Case Record Form, CRF),二为电子采集和管理系统(Electronic Data Capture, EDC),如ResMan即为一种基于互联网的EDC:
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将严格遵守数据管理和分析的伦理和法律要求。数据采集在获得患者或家属知情同意后,以临床CRF表调查与观察为主,采集受试者入组信息及实验过程中的观察指标等,数据采集过程中的伦理原则,如尊重隐私、保护个人信息和保护人身安全等。数据存储要求研究者确保数据的安全性和完整性。数据应该存储在安全的地方,如密码保护的电脑。对于敏感数据,如个人身份信息或医疗记录等,应该采取更加严格的安全措施,如加密存储、访问权限控制等。最后,为了确保数据的完整性,研究者应该定期备份数据,以防数据丢失或损坏。
数据整理包括原始数据脱敏、数据清洗、数据筛选、数据填充等操作。研究者进行合理的数据清洗、数据筛选、数据填充,以保证数据的完整性和可用性。数据分析通过各种方法进行,如描述统计分析、相关性分析、回归分析、方差分析等,确保数据分析过程中的科学性和可信度。根据数据共享的政策和规定,并保护数据使用者的知情同意和隐私权。
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture:
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The ethical and legal requirements for data management and analysis will be strictly adhered to. Data collection will primarily involve clinical CRF form surveys and observations after obtaining informed consent from patients or their families. This includes collecting participants' enrollment information and observation indicators during the experiment. Ethical principles during data collection, such as respecting privacy, protecting personal information, and ensuring personal safety, will be upheld. Researchers are required to ensure the security and integrity of data storage. Data should be stored in secure locations, such as password-protected computers. For sensitive data, such as personal identification information or medical records, more stringent security measures should be implemented, including encrypted storage and access control. Finally, to ensure data integrity, researchers should regularly back up data to prevent loss or damage.
Data processing includes operations such as anonymization of raw data, data cleaning, data filtering, and data imputation. Researchers will perform reasonable data cleaning, filtering, and imputation to ensure data completeness and usability. Data analysis will be conducted using various methods, such as descriptive statistical analysis, correlation analysis, regression analysis, and variance analysis, to ensure the scientific rigor and credibility of the data analysis process. Data sharing will comply with relevant policies and regulations, while protecting the informed consent and privacy rights of data users.
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Publication information of the protocol/research results report (name of the journal, volume, issue, pages, time; or website):
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