本刊特点： 科技核心期刊（2024自然科学）,目次收录（知网）,官网信息2024年前不收版面费,外文期刊,
期刊基本信息
出版周期：年刊 级别：核心期刊
主管部门：教育部
主办单位：北京大学
编辑部：《健康数据科学（英文）》编辑部
中国国内刊号：CN10-1749/R
国际标准刊号：ISSN 2765-8783
杂志社联系方式
地址：北京市海淀区学院路38号北京大学《健康数据科学（英文）》编辑部
邮编：100191
微信公众号：Health Data Science零距离（HealthDataScience）
官网邮箱：hds@hsc.pku.edu.cn
官方网站：https://spj.sciencemag.org/journals/hds/
杂志征稿投稿要求
《健康数据科学（英文）》（Health Data Science）
获批国内统一连续出版物号(CN)
【微信公众号“HealthDataScience”信息】
2021年3月11日
简介：《健康数据科学（英文）》期刊获批CN号
近日，国家新闻出版署下达批复，同意《健康数据科学（英文）》（Health Data Science）公开发行，国内统一连续出版物号为CN10-1749/R。期刊将采用跨学科分析方法和前沿技术挖掘健康医疗数据的价值，提高数据质量和数据使用伦理标准，打造健康数据科学交流与发展平台，服务医学临床实践、研究与决策。
Health Data Science是北京大学主办、北京大学健康医疗大数据国家研究院承办、北京大学信息技术高等研究院 （浙江）协办的开放获取英文期刊，已于2020年7月入选“中国科技期刊卓越行动计划”高起点新刊项目。
《健康数据科学（英文）》作者须知
【杂志社官方网站信息】
For Authors
To check on the status of your submission, please visit the Health Data Science manuscript submission site.
For general guidance on using the manuscript submission system, please read the tutorials for Authors, Editors, and Reviewers. For questions on specific functionality, explore the Editorial Manager video library.
Categories of Manuscripts
The journal Health Data Science accepts submissions for original research articles, review articles, editorials, perspectives (by invitation) and letters to the Editor.
Prior to submission, each author should review and be prepared to fulfill the submission requirements outlined on the Publication Ethics page and comply with the following limitations.
Research articles should present a major advance and must include an abstract of up to 250 words, an introduction and sections with brief and informative subheadings. Authors may include up to ten figures and/or tables and about 50 references. The total research article length usually should be under 5,000 words. Supplementary materials should be limited to information that is not essential for the general understanding of the research presented in the main text and can include data sets, figures, tables, videos or audio files. For ease in preparing your submission, please follow the manuscript templates in Word and LaTex.
Review articles should describe and synthesize recent developments of interdisciplinary significance and highlight future directions. Reviews must include an abstract with a structure outlining the importance, highlights and conclusion. The article must contain an introduction outlining the main theme, brief subheadings and an outline of important unresolved questions. Reviews should be no longer than 5,000 words, although longer manuscripts will be considered. Authors may include up to six figures and/or tables and up to 100 references. Most reviews are solicited by the editors. Unsolicited submissions will be considered, but authors are encouraged to contact the Editors first before writing a review paper.
Editorials are short opinion pieces that discuss an issue of immediate importance to the health data science community. Editorials should have fewer than 1,000 words total, no abstract, a minimal number of references (no more than 20) and no figures or tables. Editorials are usually solicited by the editors. If authors have suggestions for an Editorial, they should contact the editorial office first before submitting a paper.
In principle, Perspectives are invitation-only papers that highlight recent exciting thoughts, research and important issues in health data science, with data and facts properly cited. These papers should not contain unpublished findings or primarily discuss the author’s own work. They may provide context for the findings within a field or explain potential interdisciplinary importance. As these are meant to express a personal viewpoint, with rare exceptions, Perspectives should have no more than three authors. Perspectives should not include an abstract, have no more than 1,000 words, can include up to two figures or tables, and have less than 10 references. If interested in submitting a Perspective, please contact hds@hsc.pku.edu.cn to provide a summary of your topic and request an invitation to submit; the Editorial team will evaluate your request and extend an invitation if appropriate.
Letters to the Editor are letters responding to articles published in Health Data Science. These Letters should add a dimension to the research (constructive response or critique) and not merely be a summary of the paper. Letters should have no more than 400 words with a maximum of five references; usually no table or figure is needed (if necessary, up to one table or figure is acceptable).
Preparation of Manuscripts
English Language Editing Services
Interested in English language assistance prior to submission? The Science Partner Journals publishing team has evaluated the work of the companies listed on the SPJ Author Services page and found their services to be effective for editing scientific English language in manuscripts prior to submission.
Experimental Design and Statistics Guidelines
Study Design Guidelines
In the first section of the Materials and Methods, we encourage authors to have first subtitle of "Experimental and Technical Design," which includes a diagram or flowchart to show the entire experimental design and illustrates the most significant elements: materials, treatments, measurements, data collection, methods of data analysis. This will facilitate the editors, reviewers and readers to understand and follow the whole concept, design, and results.
Statistical Analysis Guidelines
Generally, authors should describe statistical methods with enough detail and follow relevant reporting guidelines.
Reporting Guidelines
Authors are encouraged to follow published standard reporting guidelines for the study discipline. Many of these guidelines can be found at the EQUATOR website.
Figure, Table & Supplementary Material Guidelines
Creating Your Figures
It is best to create your figures as vector-based files such as those produced by Adobe Illustrator. Vector-based files will give us maximum flexibility for sizing your figures properly without losing resolution. These figure files can be saved at a lower resolution to minimize the file size at initial submission.
Although we do not need the highest-resolution files for the initial submission, you will need to have these high-resolution files of your figures on hand so that they can be submitted with your revised manuscript for final publication production. Each figure or image must be in a separate editable file format at revision. Images may be in TIFF, GIF, JPEG, PNG, BMP, PS, EPS, Word, Excel, PowerPoint, or PDF.
Figure Layout and Scaling
In laying out information in a figure, the objective is to maximize the space given to presentation of the data. Avoid wasted white space and clutter.
Please follow these guidelines for your figures:
The figure’s title should be at the beginning of the figure legend, not within the figure itself.
Include the figure’s identifying number (e.g., "Figure 1") on the same manuscript page that includes the figure.
Keys to symbols, if needed, should be kept as simple as possible. Details can be put into the figure legend.
Use solid symbols for plotting data if possible (unless data overlap or there are multiple symbols). For legibility when figures are reduced, symbol sizes should be a minimum of 6 points and line widths should be a minimum of 0.5 points.
Panels should be set close to each other and common axis labels should not be repeated.
Scales or axes should not extend beyond the range of the data plotted. All microscopic images should include scale bars, with their values shown either with the bar or in the figure legend. Do not use minor tick marks in scales or grid lines. Avoid using y-axis labels on the right that repeat those on the left.
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更多详情：
https://spj.sciencemag.org/journals/hds/guidelines/
卓越计划高起点新刊Health Data Science
创刊社论（Editorial）正式刊出
【承办单位杂志社官方网站信息】
时间：2021-06-30
2021年6月16日，由北京大学主办、北京大学健康医疗大数据国家研究院承办、作为Science合作期刊在全球发行、开放获取的全新英文科技期刊Health Data Science（中文名《健康数据科学》）正式刊文。主编北京大学健康医疗大数据国家研究院院长詹启敏院士撰写的创刊社论（Editorial）译文
Health Data Science 创刊社论
《健康数据科学》——致力于以数据为驱动提升医疗健康领域的科学合作伙伴新期刊
健康数据和先进技术将赋能健康医疗实践并促进领域的进步，这一观点在COVID-19大流行期间得以充分证实。通过数据共享和全球合作，COVID-19疫苗的研发速度空前。大流行期间，数字医疗和数据科学技术迅速落地，展示了其推动公共卫生和医疗健康领域向前发展的潜能。当前，众多数据资源得以应用和呈现，加强了我们对疫情的流行病学监测。许多国家正在采用接触者追踪的移动应用程序来控制病毒的社区传播。深度学习也已被用来为疫情导致的各种问题提供解决方案，包括暴发预测、病毒传播跟踪、诊断和治疗、疫苗研发和药物研究等。
海量的健康数据有多种来源，包括电子病历（EHR）、监测数据、管理和报销信息、可穿戴医疗设备、基因组测序和研究数据等 [1]。此外，健康数据还能与社交媒体信息、职业信息、地理位置信息以及经济环境数据信息相结合，解决复杂的健康问题 [2]。前沿技术在挖掘健康数据价值方面发挥着重要作用。区块链技术的应用在保护隐私的同时，为高效、安全地共享医疗健康数据提供了可能。机器学习能通过探索大规模数据集中各变量之间的交互规律来发现既往未知的相关性 [3]。在全球范围内，整合了数学、统计学、计算机科学与医学的健康数据科学已迅速发展成为一门前景光明的新兴学科，解决复杂的真实世界健康问题。
然而，标准不统一、互用性不足以及质量的局限性阻碍了数据共享和集成。许多人凭借着对技术的乐观态度对医疗健康产业的光明未来亦充满了信心和希望，但这种技术乐观值得深思。社交媒体本应将人们团结在一起，但却也可能因为遭到滥用，导致隐私侵犯，健康错误信息和虚假信息的传播。人工智能（AI）可能会引入偏倚和偏见，反而加剧现有的健康和经济状况的不平等。数字设备为医生提供了便利，但其有效性和安全性仍然存疑。
所有这些例子都在提醒我们，当我们将先进技术整合到一个复杂的框架中时（如：临床实践系统或医疗卫生系统），影响成功的因素也是多方面的。在推广先进健康技术之前，需要对其有效性和安全性进行严格的评估。人工智能软件工程和设计中也应考虑伦理原则。这需要我们更好地了解患者需求和医疗卫生的价值，把握健康数据和技术创新发展的良好势头，提高医疗服务的质量、可负担性和可及性。
健康数据科学是一门综合性交叉学科，数据和创新驱动的健康医疗实践的变革有赖于医疗专业人员、政策制定者、数据科学家、伦理学家和工程师之间的密切交流与合作。（突出）
为了提供高质量的科研证据，为跨学科讨论和辩论具有挑战性的医疗卫生问题搭建平台，我们计划推出《健康数据科学（英文）》期刊。《健康数据科学（英文）》是在线、开放获取期刊，由美国科学促进会旗下《科学》合作期刊项目（SPJ）提供出版支持。期刊将致力于提升数据质量和循证决策质量，在符合伦理的前提下促进前沿技术和分析方法的应用，拓宽健康数据科学视野，并在真实世界的医疗健康实践中创造价值。
《健康数据科学》旨在与国际学术界密切合作，保证研究的高质量和伦理标准，转化健康数据价值，促进患者健康和人类福祉，实现期刊使命——“数信合一，智促健康”。
参考文献
[1] L. Zhang, H. Wang, Q. Li, M. H. Zhao, and Q. M. Zhan, “Big data and medical research in China,” BMJ, 2018;360:j5910. https://doi.org/10.1136/bmj.j5910
[2] L. Fernández-Luque and T. Bau, “Health and social media: perfect storm of information,” Healthcare Informatics Research, vol. 21, no. 2, pp. 67–73, 2015. https://doi.org/10.4258/hir.2015.21.2.67
[3] N. Noorbakhsh-Sabet, R. Zand, Y. Zhang, and V. Abedi, “Artificial intelligence transforms the future of health care,” The American Journal of Medicine, vol. 132, no. 7, pp. 795–801, 2019. https://doi.org/10.1016/j.amjmed.2019.01.017
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