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Developing a Bioinformatics Program and Supporting Infrastructure in a Biomedical Library 生物医学图书馆的生物信息学研究与基础设施建设
Pub Date : 2018-03-01 DOI: 10.7191/JESLIB.2018.1129
Nate Hosburgh
Background : Over the last couple decades, the field of bioinformatics has helped spur medical discoveries that offer a better understanding of the genetic basis of disease, which in turn improve public health and save lives. Concomitantly, support requirements for molecular biology researchers have grown in scope and complexity, incorporating specialized resources, technologies, and techniques. Case Presentation : To address this specific need among National Institutes of Health (NIH) intramural researchers, the NIH Library hired an expert bioinformatics trainer and consultant with a PhD in biochemistry to implement a bioinformatics support program. This study traces the program from its inception in 2009 to its present form. Discussion involves the particular skills of program staff, development of content, collection of resources, associated technology, assessment, and the impact of the program on the NIH community. Conclusion : Based on quantitative and qualitative data, the bioinformatics support program has been heavily used and appreciated by researchers. Continued success will depend on filling key staff positions, building on the existing program infrastructure, and keeping abreast of developments within the field to remain relevant and in touch with the medical research community utilizing bioinformatics services. Library The of gene and identify transcription factor binding gene set enrichment/pathway analysis from microarray experiments, and next-gen sequence analysis: RNA-Seq, ChIP-Seq, and miRNA-Seq.
背景:在过去的几十年里,生物信息学领域帮助促进了医学发现,这些发现提供了对疾病遗传基础的更好理解,从而改善了公众健康并挽救了生命。与此同时,对分子生物学研究人员的支持需求在范围和复杂性上都有所增长,包括专门的资源、技术和技术。案例介绍:为了解决美国国立卫生研究院(NIH)校内研究人员的这一特殊需求,NIH图书馆聘请了一位生物信息学专家培训师和顾问,他拥有生物化学博士学位,以实施生物信息学支持计划。这项研究追溯了该计划从2009年开始到现在的形式。讨论涉及项目人员的特殊技能、内容的开发、资源的收集、相关技术、评估以及项目对NIH社区的影响。结论:基于定量和定性数据的生物信息学支持程序得到了研究人员的广泛使用和赞赏。继续取得成功将取决于能否填补关键工作人员的职位空缺,在现有方案基础设施的基础上进行建设,并及时了解该领域的发展情况,以便利用生物信息学服务与医学研究界保持联系和联系。文库基因和鉴定转录因子结合基因集富集/途径分析从微阵列实验,下一代序列分析:RNA-Seq, ChIP-Seq,和miRNA-Seq。
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引用次数: 3
Applying Data Analytics and Visualization to Assessing the Research Impact of the Cancer Cell Biology (CCB) Program at the University of North Carolina at Chapel Hill 应用数据分析和可视化评估北卡罗来纳大学教堂山分校癌症细胞生物学(CCB)项目的研究影响
Pub Date : 2018-01-22 DOI: 10.7191/JESLIB.2018.1123
Fei Yu, Barrie Hayes
Objective : The purpose of this paper is to report on a research impact assessment (RIA) project conducted by the Health Sciences Library (HSL) at the University of North Carolina at Chapel Hill (UNC-CH) for the Cancer Cell Biology (CCB) program in the institution’s cancer center through bibliometric data analysis and visualization. Methods : A total of 642 publications produced by the CCB researchers from 2010 to 2014 was used as the original dataset. After the citations of these publications were cleaned and standardized, the citations were imported into selected bibliometric and other tools for quantitative analysis and visualization. Results : The CCB program at the UNC Lineberger Comprehensive Cancer Center had significant scientific output and citation impact in the examined five-year period, which was quantitatively measured not only by the total number of publications and citation counts, but also by comparative citation impact measures. In addition, the research collaboration network visualizations helped identify the most productive CCB researchers, the most highly cited CCB researchers, the research groups composed by co-authors, and the internal and external research partners. Further, the research topic visualizations confirmed the alignment of publication concentrations with the five core areas on which the CCB program has been focusing. Conclusions : The bibliometric data analysis and visualizations produced for this project were able to provide quick insights to the administrators in terms of identified patterns, trends, and gaps of the supported research
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引用次数: 34
Special Issue: Visualizing the (Data) Future 特刊:可视化(数据)未来
Pub Date : 2018-01-22 DOI: 10.7191/jeslib.2018.1137
Jian Qin
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引用次数: 0
A Brief History of Data Visualization (and the role of libraries and librarians) 数据可视化简史(以及图书馆和图书馆员的角色)
Pub Date : 2018-01-22 DOI: 10.7191/jeslib.2018.1135
Sally A. Gore
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引用次数: 1
Data Visualization as a Library Service: Embedding Visualization Services in the Library Research Lifecycle 数据可视化作为图书馆服务:在图书馆研究生命周期中嵌入可视化服务
Pub Date : 2018-01-22 DOI: 10.7191/JESLIB.2018.1126
A. Ogier, Michael J. Stamper
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引用次数: 12
Gaining Competency: Learning to Teach Data Visualization 获取能力:学习数据可视化教学
Pub Date : 2018-01-22 DOI: 10.7191/JESLIB.2018.1116
Kristin A. Briney
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引用次数: 2
Using the Visualization Software Evaluation Rubric to explore six freely available visualization applications 使用可视化软件评估准则探索六个免费提供的可视化应用程序
Pub Date : 2018-01-22 DOI: 10.7191/JESLIB.2018.1122
Thea Atwood, Rebecca Reznik-Zellen
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引用次数: 5
Providing Library Support for Interactive Scientific and Biomedical Visualizations with Tableau 使用Tableau为交互式科学和生物医学可视化提供库支持
Pub Date : 2018-01-01 DOI: 10.7191/JESLIB.2018.1120
L. Federer, Douglas J. Joubert
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引用次数: 8
Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities. 健康科学图书馆促进大学临床研究数据管理的合作。
Pub Date : 2018-01-01 Epub Date: 2018-06-20 DOI: 10.7191/jeslib.2018.1130
Tania P Bardyn, Emily F Patridge, Michael T Moore, Jane J Koh

Purpose: Medical libraries need to actively review their service models and explore partnerships with other campus entities to provide better-coordinated clinical research management services to faculty and researchers. TRAIL (Translational Research and Information Lab), a five-partner initiative at the University of Washington (UW), explores how best to leverage existing expertise and space to deliver clinical research data management (CRDM) services and emerging technology support to clinical researchers at UW and collaborating institutions in the Pacific Northwest.

Methods: The initiative offers 14 services and a technology-enhanced innovation lab located in the Health Sciences Library (HSL) to support the University of Washington clinical and research enterprise. Sharing of staff and resources merges library and non-library workflows, better coordinating data and innovation services to clinical researchers. Librarians have adopted new roles in CRDM, such as providing user support and training for UW's Research Electronic Data Capture (REDCap) instance.

Results: TRAIL staff are quickly adapting to changing workflows and shared services, including teaching classes on tools used to manage clinical research data. Researcher interest in TRAIL has sparked new collaborative initiatives and service offerings. Marketing and promotion will be important for raising researchers' awareness of available services.

Conclusions: Medical librarians are developing new skills by supporting and teaching CRDM. Clinical and data librarians better understand the information needs of clinical and translational researchers by being involved in the earlier stages of the research cycle and identifying technologies that can improve healthcare outcomes. At health sciences libraries, leveraging existing resources and bringing services together is central to how university medical librarians will operate in the future.

目的:医学图书馆需要积极审查其服务模式,并探索与其他校园实体的合作伙伴关系,为教职员工和研究人员提供更协调的临床研究管理服务。TRAIL(翻译研究与信息实验室)是华盛顿大学(UW)的一项五个合作伙伴的倡议,探索如何最好地利用现有的专业知识和空间,为华盛顿大学的临床研究人员和太平洋西北部的合作机构提供临床研究数据管理(CRDM)服务和新兴技术支持华盛顿临床和研究企业。工作人员和资源的共享融合了图书馆和非图书馆的工作流程,更好地协调数据和为临床研究人员提供的创新服务。图书馆员在CRDM中扮演了新的角色,例如为UW的研究电子数据捕获(REDCap)实例提供用户支持和培训。结果:TRAIL的工作人员正在迅速适应不断变化的工作流程和共享服务,包括教授用于管理临床研究数据的工具。研究人员对TRAIL的兴趣引发了新的合作计划和服务。营销和推广对于提高研究人员对现有服务的认识非常重要。结论:医学馆员正在通过支持和教授CRDM来发展新技能。临床和数据图书馆员通过参与研究周期的早期阶段并确定可以改善医疗保健结果的技术,更好地了解临床和转化研究人员的信息需求。在健康科学图书馆,利用现有资源并整合服务是大学医学图书馆员未来运作的核心。
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引用次数: 9
In Honor of Peer Reviewers 向同行评审员致敬
Pub Date : 2017-12-19 DOI: 10.7191/jeslib.2017.1133
R. Raboin
{"title":"In Honor of Peer Reviewers","authors":"R. Raboin","doi":"10.7191/jeslib.2017.1133","DOIUrl":"https://doi.org/10.7191/jeslib.2017.1133","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"6 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42122427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of escience librarianship
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