Pub Date : 2018-03-01DOI: 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.
{"title":"Developing a Bioinformatics Program and Supporting Infrastructure in a Biomedical Library","authors":"Nate Hosburgh","doi":"10.7191/JESLIB.2018.1129","DOIUrl":"https://doi.org/10.7191/JESLIB.2018.1129","url":null,"abstract":"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.","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"7 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47182782","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}
Pub Date : 2018-01-22DOI: 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
{"title":"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","authors":"Fei Yu, Barrie Hayes","doi":"10.7191/JESLIB.2018.1123","DOIUrl":"https://doi.org/10.7191/JESLIB.2018.1123","url":null,"abstract":"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","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"7 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2018-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41673605","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}
Pub Date : 2018-01-22DOI: 10.7191/jeslib.2018.1135
Sally A. Gore
{"title":"A Brief History of Data Visualization (and the role of libraries and librarians)","authors":"Sally A. Gore","doi":"10.7191/jeslib.2018.1135","DOIUrl":"https://doi.org/10.7191/jeslib.2018.1135","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"7 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48198549","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}
Pub Date : 2018-01-22DOI: 10.7191/JESLIB.2018.1126
A. Ogier, Michael J. Stamper
{"title":"Data Visualization as a Library Service: Embedding Visualization Services in the Library Research Lifecycle","authors":"A. Ogier, Michael J. Stamper","doi":"10.7191/JESLIB.2018.1126","DOIUrl":"https://doi.org/10.7191/JESLIB.2018.1126","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"7 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43618876","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}
Pub Date : 2018-01-22DOI: 10.7191/JESLIB.2018.1116
Kristin A. Briney
{"title":"Gaining Competency: Learning to Teach Data Visualization","authors":"Kristin A. Briney","doi":"10.7191/JESLIB.2018.1116","DOIUrl":"https://doi.org/10.7191/JESLIB.2018.1116","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":" ","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2018-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49636144","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}
Pub Date : 2018-01-22DOI: 10.7191/JESLIB.2018.1122
Thea Atwood, Rebecca Reznik-Zellen
{"title":"Using the Visualization Software Evaluation Rubric to explore six freely available visualization applications","authors":"Thea Atwood, Rebecca Reznik-Zellen","doi":"10.7191/JESLIB.2018.1122","DOIUrl":"https://doi.org/10.7191/JESLIB.2018.1122","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"7 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2018-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42721178","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}
Pub Date : 2018-01-01DOI: 10.7191/JESLIB.2018.1120
L. Federer, Douglas J. Joubert
{"title":"Providing Library Support for Interactive Scientific and Biomedical Visualizations with Tableau","authors":"L. Federer, Douglas J. Joubert","doi":"10.7191/JESLIB.2018.1120","DOIUrl":"https://doi.org/10.7191/JESLIB.2018.1120","url":null,"abstract":"","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"7 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71256081","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}
Pub Date : 2018-01-01Epub Date: 2018-06-20DOI: 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.
{"title":"Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities.","authors":"Tania P Bardyn, Emily F Patridge, Michael T Moore, Jane J Koh","doi":"10.7191/jeslib.2018.1130","DOIUrl":"10.7191/jeslib.2018.1130","url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":90214,"journal":{"name":"Journal of escience librarianship","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/47/75/nihms-981501.PMC6124496.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36475803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}