纵向数据
心理学
透明度(行为)
数据科学
领域(数学)
重新使用
最佳实践
应用心理学
计算机科学
数据挖掘
政治学
工程类
数学
计算机安全
法学
纯数学
废物管理
作者
Rogier Kievit,Ethan M. McCormick,Delia Fuhrmann,Marie K. Deserno,Amy Orben
标识
DOI:10.1016/j.copsyc.2021.10.003
摘要
Adolescence is a period of rapid change, with cognitive, mental wellbeing, environmental biological factors interacting to shape lifelong outcomes. Large, longitudinal phenotypically rich data sets available for reuse (secondary data) have revolutionized the way we study adolescence, allowing the field to examine these unfolding processes across hundreds or even thousands of individuals. Here, we outline the opportunities and challenges associated with such secondary data sets, provide an overview of particularly valuable resources available to the field, and recommend best practices to improve the rigor and transparency of analyses conducted on large, secondary data sets.
科研通智能强力驱动
Strongly Powered by AbleSci AI