scholarly journals Facilitating translational team science: The project leader model

2019 ◽  
Vol 3 (4) ◽  
pp. 140-146
Author(s):  
Lynn Sutton ◽  
Lisa G. Berdan ◽  
Jean Bolte ◽  
Robert M. Califf ◽  
Geoffrey S. Ginsburg ◽  
...  
Keyword(s):  
Project Management ◽  
Critical Role ◽  
Academic Research ◽  
Science Research ◽  
Team Science ◽  
Project Leader ◽  
Translational Science ◽  
Project Leadership ◽  
Research Organizations ◽  
Academic Settings

AbstractProject management expertise is employed across many professional sectors, including clinical research organizations, to ensure that efforts undertaken by the organization are completed on time and according to specifications and are capable of achieving the needed impact. Increasingly, project leaders (PLs) who possess this expertise are being employed in academic settings to support clinical and preclinical translational research team science. Duke University’s clinical and translational science enterprise has been an early adopter of project management to support clinical and preclinical programs. We review the history and evolution of project management and the PL role at Duke, examine case studies that illustrate their growing value to our academic research environment, and address challenges and solutions to employing project management in academia. Furthermore, we describe the critical role project leadership plays in accelerating and increasing the success of translational team science and team approaches frequently required for systems biology and “big data” scientific studies. Finally, we discuss perspectives from Duke project leadership professionals regarding the training needs and requirements for PLs working in academic clinical and translational science research settings.

scholarly journals Integrating data science into the translational science research spectrum: A substance use disorder case study

2020 ◽  
pp. 1-6
Author(s):  
Emily Slade ◽  
Linda P. Dwoskin ◽  
Guo-Qiang Zhang ◽  
Jeffery C. Talbert ◽  
Jin Chen ◽  
...  
Keyword(s):  
Substance Use ◽  
Big Data ◽  
Substance Use Disorder ◽  
Data Science ◽  
Population Level ◽  
Science Research ◽  
Health Impact ◽  
Team Science ◽  
Translational Science ◽  
Preclinical Research

Abstract The availability of large healthcare datasets offers the opportunity for researchers to navigate the traditional clinical and translational science research stages in a nonlinear manner. In particular, data scientists can harness the power of large healthcare datasets to bridge from preclinical discoveries (T0) directly to assessing population-level health impact (T4). A successful bridge from T0 to T4 does not bypass the other stages entirely; rather, effective team science makes a direct progression from T0 to T4 impactful by incorporating the perspectives of researchers from every stage of the clinical and translational science research spectrum. In this exemplar, we demonstrate how effective team science overcame challenges and, ultimately, ensured success when a diverse team of researchers worked together, using healthcare big data to test population-level substance use disorder (SUD) hypotheses generated from preclinical rodent studies. This project, called Advancing Substance use disorder Knowledge using Big Data (ASK Big Data), highlights the critical roles that data science expertise and effective team science play in quickly translating preclinical research into public health impact.

scholarly journals Enhancing reproducibility using interprofessional team best practices

2020 ◽  
pp. 1-8 ◽  
Author(s):  
Betsy Rolland ◽  
Elizabeth S. Burnside ◽  
Corrine I. Voils ◽  
Manish N. Shah ◽  
Allan R. Brasier
Keyword(s):  
Best Practices ◽  
Science Research ◽  
Research Process ◽  
Reproducible Research ◽  
Scientific Integrity ◽  
Team Science ◽  
Translational Science ◽  
Preclinical Research ◽  
Minimal Impact ◽  
The Impact

Abstract The pervasive problem of irreproducibility of preclinical research represents a substantial threat to the translation of CTSA-generated health interventions. Key stakeholders in the research process have proposed solutions to this challenge to encourage research practices that improve reproducibility. However, these proposals have had minimal impact, because they either 1. take place too late in the research process, 2. focus exclusively on the products of research instead of the processes of research, and/or 3. fail to take into account the driving incentives in the research enterprise. Because so much clinical and translational science is team-based, CTSA hubs have a unique opportunity to leverage Science of Team Science research to implement and support innovative, evidence-based, team-focused, reproducibility-enhancing activities at a project’s start, and across its evolution. Here, we describe the impact of irreproducibility on clinical and translational science, review its origins, and then describe stakeholders’ efforts to impact reproducibility, and why those efforts may not have the desired effect. Based on team-science best practices and principles of scientific integrity, we then propose ways for Translational Teams to build reproducible behaviors. We end with suggestions for how CTSAs can leverage team-based best practices and identify observable behaviors that indicate a culture of reproducible research.

Return to Meaning

2017 ◽  
Author(s):  
Mats Alvesson ◽  
Yiannis Gabriel ◽  
Roland Paulsen
Keyword(s):  
Social Science ◽  
No Value ◽  
Social Science Research ◽  
Academic Research ◽  
Science Research ◽  
Political Life ◽  
Cluttered Environment ◽  
Student Fees ◽  
Social Uses

This book argues that we are currently witnessing not merely a decline in the quality of social science research, but a proliferation of meaningless research of no value to society and modest value to its authors—apart from securing employment and promotion. The explosion of published outputs, at least in social science, creates a noisy, cluttered environment which makes meaningful research difficult, as different voices compete to capture the limelight even briefly. Older, but more impressive contributions are easily neglected as the premium is to write and publish, not read and learn. The result is a widespread cynicism among academics on the value of academic research, sometimes including their own. Publishing comes to be seen as a game of hits and misses, devoid of intrinsic meaning and value and of no wider social uses whatsoever. This is what the book views as the rise of nonsense in academic research, which represents a serious social problem. It undermines the very point of social science. This problem is far from ‘academic’. It affects many areas of social and political life entailing extensive waste of resources and inflated student fees as well as costs to taxpayers. The book’s second part offers a range of proposals aimed at restoring meaning at the heart of social science research, and drawing social science back, address the major problems and issues that face our societies.

scholarly journals Users and Social Science Research: Policy, Problems and Possibilities

1997 ◽  
Vol 2 (3) ◽  
pp. 69-81 ◽  
Author(s):  
B. Rappert
Keyword(s):  
Research Policy ◽  
Social Research ◽  
Public Funding ◽  
Social Science Research ◽  
Academic Research ◽  
User Involvement ◽  
Science Research ◽  
Research Process ◽  
The Uk ◽  
Policy Problems

Recent times have seen a significant reorientation in public funding for academic research across many countries. Public bodies in the UK have been at the forefront of such activities, typically justified in terms of a need to meet the challenges of international competitiveness and improve quality of life. One set of mechanisms advanced for further achieving these goals is the incorporation of users’ needs into various aspects of the research process. This paper examines some of the consequences of greater user involvement in the UK Economic and Social Research Council by drawing on both empirical evidence and more speculative argumentation. In doing so it poses some of the dilemmas for conceptualizing proper user involvement.

scholarly journals ROLE OF EFFECTIVE PROJECT MANAGEMENT IN REDUCING DRUG DEVELOPMENT COST

2017 ◽  
Vol 10 (3) ◽  
pp. 53
Author(s):  
Faisal B A Zaidi ◽  
Salma Ahmed ◽  
Munish Makkad
Keyword(s):  
Project Management ◽  
Drug Development ◽  
Site Selection ◽  
Late Phase ◽  
Critical Role ◽  
Project Manager ◽  
Development Cost ◽  
The Cost ◽  
Patient Enrollment

ABSTRACTPharmaceuticals are passing through the difficult phase due to increasing numbers of patents expiry along with increasing cost of drug development.Protocol design, regulatory cycle time, site selection, patient enrollment and monitoring are some of the cost contributing elements for late phaseclinical trials. This paper applies the principles of project management and suggests means to reduce the cost of late phase drug development. It alsothrows light on the critical role that a project manager can play in overall drug development process.Keywords: Cost of drug development, Effective project management, Reduction in cost of drug development.

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