• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>International Journal of Population Data Science >A Position Statement on Population Data Science: The Science of Data about People
【2h】

A Position Statement on Population Data Science: The Science of Data about People

机译：关于人口数据科学的立场陈述：关于人的数据科学

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations using linked datasets that are large, complex, and diverse. The potential social and individual benefits that can come from data-intensive science are large, but raise challenges of balancing individual privacy and the public good, building appropriate socio-technical systems to support data-intensive science, and determining whether defining a new field of inquiry might help move those collective interests and activities forward. A combination of expert engagement, literature review, and iterative conversations led to our conclusion that defining the field of Population Data Science (challenge 3) will help address the other two challenges as well. We define Population Data Science succinctly as the science of data about people and note that it is related to but distinct from the fields of data science and informatics. A broader definition names four characteristics of: data use for positive impact on citizens and society; bringing together and analyzing data from multiple sources; finding population-level insights; and developing safe, privacy-sensitive and ethical infrastructure to support research. One implication of these characteristics is that few people possess all of the requisite knowledge and skills of Population Data Science, so this is by nature a multi-disciplinary field. Other implications include the need to advance various aspects of science, such as data linkage technology, various forms of analytics, and methods of public engagement. These implications are the beginnings of a research agenda for Population Data Science, which if approached as a collective field, can catalyze significant advances in our understanding of trends in society, health, and human behavior.
机译：信息越来越多，创造了使用大，复杂和多样化的链接数据集对人口群体响应对人群的问题的机会。数据密集型科学可能来自的潜在社会和个人福利很大，但提高了平衡个人隐私和公众良好的挑战，建立适当的社会技术系统来支持数据密集型科学，并确定是否定义新领域询价可能有助于将这些集体利益和活动转发。专家参与，文学评论和迭代对话的组合导致我们的结论，定义人口数据科学领域（挑战3）将有助于解决其他两个挑战。我们根据有关人员的数据科学，详细说明，与数据科学和信息学领域不同但与众不同，将人口数据科学定义为有关人员的数据。更广泛的定义名称有四种特征：数据用于公民和社会的积极影响;从多个来源结合起来并分析数据;寻找人口层面的见解;并开发安全，隐私敏感和道德基础设施来支持研究。这些特征的一个含义是，很少有人拥有人口数据科学的所有必要知识和技能，因此这是大自然的多学科领域。其他含义包括需要推进科学的各个方面，例如数据联动技术，各种形式的分析以及公共参与方法。这些含义是人口数据科学研究议程的开始，如果接近集体领域，可以促进我们对社会，健康和人类行为趋势的理解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号