scholarly journals Scope, Influence, and Interdisciplinary Collaboration: The Publication Portfolio of the NIH Clinical and Translational Science Awards (CTSA) Program From 2006 Through 2017

2019 ◽  
Vol 43 (3) ◽  
pp. 169-179 ◽  
Author(s):  
Nicole Llewellyn ◽  
Dorothy R. Carter ◽  
Deborah DiazGranados ◽  
Clara Pelfrey ◽  
Latrice Rollins ◽  
...  

The Clinical and Translational Science Awards (CTSA) program sponsors an array of innovative, collaborative research. This study uses complementary bibliometric approaches to assess the scope, influence, and interdisciplinary collaboration of publications supported by single CTSA hubs and those supported by multiple hubs. Authors identified articles acknowledging CTSA support and assessed the disciplinary scope of research areas represented in that publication portfolio, their citation influence, interdisciplinary overlap among research categories, and characteristics of publications supported by multihub collaborations. Since 2006, CTSA hubs supported 69,436 articles published in 4,927 journals and 189 research areas. The portfolio is well distributed across diverse research areas with above-average citation influence. Most supported publications involved clinical/health sciences, for example, neurology and pediatrics; life sciences, for example, neuroscience and immunology; or a combination of the two. Publications supported by multihub collaborations had distinct content emphasis, stronger citation influence, and greater interdisciplinary overlap. This study characterizes the CTSA consortium’s contributions to clinical and translational science, identifies content areas of strength, and provides evidence for the success of multihub collaborations. These methods lay the foundation for future investigation of the best policies and priorities for fostering translational science and allow hubs to understand their progress benchmarked against the larger consortium.

2011 ◽  
Vol 8 (2) ◽  
pp. 49-58 ◽  
Author(s):  
Can Türker ◽  
Fuat Akal ◽  
Ralph Schlapbach

Summary In this demo paper, we sketch B-Fabric, an all-in-one solution for management of life sciences data. B-Fabric has two major purposes. First, it is a system for the integrated management of experimental data and scientific annotations. Second, it is a system infrastructure supporting on-the fly coupling of user applications, and thus serving as extensible platform for fast-paced, cutting-edge, collaborative research.


2010 ◽  
Vol 24 (1) ◽  
pp. 9-24 ◽  
Author(s):  
Nancy Fugate Woods ◽  
Diane L. Magyary

The heightened demand for benefit from scientific contributions has driven scientific initiatives such as the NIH Roadmap, the recently established Clinical Translational Science Awards, and requests for applications for funding by the National Institutes of Health (NIH) and Agency for Health Research and Quality (AHRQ) to support studies of translational efforts. Our article focuses on a rapidly developing area—translational research—and the value, if not necessity, of nursing’s contributions to interdisciplinary efforts. Our objectives are to: 1. Relate the changing nature of research (and clinical practice) to the need for interdisciplinary efforts in translational research; 2. Delineate the skills necessary for translation of research to clinical and community-based practice; 3. Review nursing’s contributions to national interdisciplinary initiatives; 4. Identify critical areas for nursing leadership in translational research and consequences of our absence from these efforts; and 5. Propose a translational research agenda for nursing.


Author(s):  
V.M. Yevtushenko

The article is devoted to the study of the state and trends of the publishing activity of Ukrainian scientists and leading countries in the field of life sciences («Life sciences»). The Web of Science Core Collection (WoS CC), Journal Citation Report (JSR) and InCites, as well as classifications of scientific fields designed to structure the publication flow of scientific papers and journals in these information resources, are used for the research base – Web of Science Categories and Research Areas. The article presents the results of the author’s research on the publication indices of scientists of Ukraine and the leading countries of the world for the period 2008-2018 in the field of “Life Sciences” according to the international science-computer database of Web of Science. Conclusions about the growth of indicators of publication activity of scientific works in the field of “Life Sciences” are made. The tendency of a significant increase in their number in Ukraine has been revealed, but domestic studies do not represent all the areas of «Life Sciences» most popular in foreign scientists


2017 ◽  
Vol 7 (1) ◽  
pp. 131
Author(s):  
Deny Arnos Kwary ◽  
Dewantoro Ratri ◽  
Almira F. Artha

This study focuses on the use of lexical bundles (LBs), their structural forms, and their functional classifications in journal articles of four academic disciplines: Health sciences, Life sciences, Physical sciences, and Social sciences. The corpus comprises 2,937,431 words derived from 400 journal articles which were equally distributed in the four disciplines. The results show that Physical sciences feature the most number of lexical bundles, while Health sciences comprise the least. When we pair-up the disciplines, we found that Physical sciences and Social sciences shared the most number of LBs. We also found that there were no LBs shared between Health sciences and Physical sciences, and neither between Health sciences and Social sciences. For the distribution of the structural forms, we found that the prepositional-based and the verb-based bundles were the most frequent forms (each of them accounts for 37.1% of the LBs, making a total of 74.2%). Within the verb-based bundles, the passive form can be found in 12 out of 23 LB types. Finally, for the functional classifications, the number of referential expressions (40 LBs) is a lot higher than those of discourse organizers (12 LBs) and stance expressions (10 LBs). The high frequency of LBs in the referential expressions can be related to the needs to refer to theories, concepts, data and findings of the study.


2020 ◽  
Vol 4 (s1) ◽  
pp. 63-63
Author(s):  
Jeffrey Robinson ◽  
Annica Wayman

OBJECTIVES/GOALS: Introduce students to programming and software development practices in the life sciences by analyzing standard clinical diagnostic bloodwork for differential immune responses. Including lectures and a semester project with the goal of enhancing undergraduate students’ education to prepare them for careers in translational science. METHODS/STUDY POPULATION: The educational content was taught for the first time as a component of the newly developed course BTEC 330 “Software Applications in the Life Sciences” in UMBC’s Translational Life Science Technology (TLST) Bachelor’s degree program at the Universities at Shady Grove campus. Eleven students took the course. All were beginners with no programming background. Lectures provided background on the diagnostic components of the CBC, criteria for differential diagnosis in the clinical setting, and introduction to hematology and flow cytometry, forming underpinnings for interpretation of the CBC results. Weekly computer lab practical sessions provided training fundamentals of R programming language, the R-studio integrated development environment (IDE), and the GitHub.com open-source software development platform. RESULTS/ANTICIPATED RESULTS: The graded assignment consisted of a coding project in which students were each assigned an individual parameter from the CBC results. These include, for example, relative lymphocyte count or hemoglobin readouts. Students each created their own R-language script using R-studio, with functional code which: 1) Read in data from a file provided, 2) Performed statistical testing, 3) Read out statistical results as text, and charts as image files, 4) “Diagnosed” individuals in the dataset as being inside or outside the clinical normal range for that parameter. Each student also registered their own GitHub account and published their open-source code. Grading was performed on code functionality by downloading each student repository and running the code with the instructor as an outside developer using the resource. DISCUSSION/SIGNIFICANCE OF IMPACT: In this curriculum, students with no background in programming learned to code a basic R-language script and use GitHub to automate interpretation of CBC results. With advanced automation now becoming commonplace in translational science, such course content can provide introductory level of literacy in development of clinical informatics software.


2020 ◽  
Vol 27 (6) ◽  
pp. 513-520
Author(s):  
Swee Chua Goh

Purpose In this paper, the author explores his research journey into the learning organization and its impact on his academic career. This paper describes how Peter Senge’s book The Fifth Discipline: The Art and Practice of The Learning Organization (1990) was the spark that led to the author’s focus on empirical research in the field. Design/methodology/approach This paper provides author’s personal reflections on how this decision put him on a path to a variety of serendipitous experiences, exciting research areas and also enabled him to engage in productive collaborative research with many of his colleagues. Findings The findings conclude with a discussion on what the author see as new challenges and perspectives for advancing research into the learning organization. Originality/value This paper provides a unique perspective on how The Fifth Discipline by Peter Senge has influenced an academic career. It presents a personal reflection of a research journey into the learning organization that spans over 30 years.


2001 ◽  
Vol 79 (9) ◽  
pp. 741-743 ◽  
Author(s):  
John R Ledsome

A Space Life Sciences Planning Workshop was sponsored by the Canadian Space Agency to identify key questions in the major research areas supported by the Life Sciences Program, to identify Canadian strengths and capabilities as they relate to these research areas, and to make recommendations for the future directions of the Life Sciences Program. The conclusions reached by the workshop participants have been presented to the Canadian Space Agency. This report is a summary of those conclusions.Key words: microgravity, Canadian Space Agency, bone loss, muscle loss, cardiovascular, radiation, neuroscience.


Somatechnics ◽  
2019 ◽  
Vol 9 (2-3) ◽  
pp. 206-222
Author(s):  
Margrit Shildrick

The focus of this article is the problematic of data in the life sciences with regard to the supposedly singular event of heart transplantation. In mainstream discourse, organ transplantation is seen as a straightforward exchange of body parts in which fatally deteriorating biological elements are replaced by more competent and enduring components. Post-transplant a variety of biological, immunological, and pharmaceutical data are collected and evaluated, with the success of the operation gauged against the clinical recovery of the recipient as determined by those measures. That simple picture fails to attend, however, to issues such as the historico-cultural context of the biomedical procedure, temporality, the phenomenological sense of self, the psycho-social imaginary, and even disregarded biological dimensions such as cellular microchimerism, all of which can deeply unsettle biomedical certainty. Drawing on my own participation in collaborative research, I rethink what counts as data and demonstrate the need to interweave multiple forms of knowledge in a data assemblage that mobilises new insights into the significance of transplantation and concorporeality.


2018 ◽  
Author(s):  
Seán I O'Donoghue ◽  
Benedetta F Baldi ◽  
Susan J Clark ◽  
Aaron E Darling ◽  
James M Hogan ◽  
...  

The rapid increase in volume and complexity of biomedical data requires changes in research, communication, training, and clinical practices. This includes learning how to effectively integrate automated analysis with high-data-density visualizations that clearly express complex phenomena. In this review, we summarize key principles and resources from data visualization research that address this difficult challenge. We then survey how visualization is being used in a selection of emerging biomedical research areas, including: 3D genomics, single-cell RNA-seq, the protein structure universe, phosphoproteomics, augmented-reality surgery, and metagenomics. While specific areas need highly tailored visualization tools, there are common visualization challenges that can be addressed with general methods and strategies. Unfortunately, poor visualization practices are also common; however, there are good prospects for improvements and innovations that will revolutionize how we see and think about our data. We outline initiatives aimed at fostering these improvements via better tools, peer-to-peer learning, and interdisciplinary collaboration with computer scientists, science communicators, and graphic designers.


2020 ◽  
Vol 28 (3) ◽  
pp. 361-381
Author(s):  
Stephan Krayter ◽  
Nadine Reibling

Recent social science scholarship has argued that poverty is increasingly discussed as a problem that can have medical or psychological causes and could be tackled through therapeutic and health-related interventions. The aim of this study is to investigate if such a trend towards the medicalisation and psychologisation of poverty is present in the scientific poverty discourse. We analysed 13,553 articles on poverty in advanced, industrialised countries published between 1956 and 2017 and indexed in Web of Science. The results show that health sciences and psychology have been the fastest-growing research areas and the individual disciplines with currently the largest publication output on poverty.


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