scholarly journals The Science of Team Science

BioScience ◽  
2015 ◽  
Vol 65 (7) ◽  
pp. 639-644 ◽  
Author(s):  
Beth Baker
2019 ◽  
Vol 3 (5) ◽  
pp. 261-289
Author(s):  
Beth B. Tigges ◽  
Doriane Miller ◽  
Katherine M. Dudding ◽  
Joyce E. Balls-Berry ◽  
Elaine A. Borawski ◽  
...  

AbstractIntroduction:Although the science of team science is no longer a new field, the measurement of team science and its standardization remain in relatively early stages of development. To describe the current state of team science assessment, we conducted an integrative review of measures of research collaboration quality and outcomes.Methods:Collaboration measures were identified using both a literature review based on specific keywords and an environmental scan. Raters abstracted details about the measures using a standard tool. Measures related to collaborations with clinical care, education, and program delivery were excluded from this review.Results:We identified 44 measures of research collaboration quality, which included 35 measures with reliability and some form of statistical validity reported. Most scales focused on group dynamics. We identified 89 measures of research collaboration outcomes; 16 had reliability and 15 had a validity statistic. Outcome measures often only included simple counts of products; publications rarely defined how counts were delimited, obtained, or assessed for reliability. Most measures were tested in only one venue.Conclusions:Although models of collaboration have been developed, in general, strong, reliable, and valid measurements of such collaborations have not been conducted or accepted into practice. This limitation makes it difficult to compare the characteristics and impacts of research teams across studies or to identify the most important areas for intervention. To advance the science of team science, we provide recommendations regarding the development and psychometric testing of measures of collaboration quality and outcomes that can be replicated and broadly applied across studies.


2010 ◽  
Vol 2 (49) ◽  
pp. 49cm24-49cm24 ◽  
Author(s):  
K. Borner ◽  
N. Contractor ◽  
H. J. Falk-Krzesinski ◽  
S. M. Fiore ◽  
K. L. Hall ◽  
...  

2020 ◽  
Vol 12 (3) ◽  
pp. 323-343
Author(s):  
Graham Jones ◽  
Bernardita Chirino Chace ◽  
Justin Wright

Purpose Though there is broad agreement on the beneficial impact of diversity in management and leadership roles, much of the innovative capacity of an organization is realized at the unit level in working teams. Recent research points to cultural diversity having an especially significant impact on innovation team performance. The reports also highlight the need for the optimal team operating principles to derive maximum benefit. To prepare such innovation teams for success, it is valuable to understand the dynamics of team diversity at the project level and the underlying barriers and opportunities presented. Design/methodology/approach This paper reviews the literature and case studies on cultural inputs to ideation and innovation, assessing team diversity through readily available instruments and the deployment of the science of team science (SciTS) principles in innovation teams. Findings The key learnings include the importance of establishing communication standards, SciTS principles, team assessment of thinking styles and the utility of cultural awareness instruments. Practical implications Diversity provides a creative advantage for innovation teams. However, team dynamics play an important role in maximizing these advantages, and cross-cultural competence of team members is required. Deployment of appropriate assessment tools and team methodologies enhances the likelihood of successful outcomes including in remote team settings. Originality/value Literature from diverse functional areas is summarized including the science of team science, organizational management, diversity and inclusion methodologies and ethnocultural dynamics. It provides pointers for the optimal formation and operating principles with highly culturally diverse teams.


2020 ◽  
Vol 22 (1) ◽  
pp. 72-86 ◽  
Author(s):  
John R. Turner ◽  
Rose Baker

The Problem The field of human resource development (HRD) is a multidisciplinary field of research and practice requiring collaboration. Unfortunately, the literature on how to conduct collaborative research is incomplete within HRD and other disciplines. Any breakdown in the communication, exchange of ideas, agreed-upon methodologies, or shared credit for dissemination has the potential of preventing research from moving forward. Promotion and tenure policies also hamper collaborative efforts in that these policies often reward individual initiative as opposed to collaborative outcomes. These behavioral patterns provide constraints to the improvement and betterment of efforts to changing of the guard. The Solution This article highlights new and improved methods for working in collaborative environments. During an academic’s transition and professional development, these methods will help emerging scholars, new to collaborative research, when facing the team science revolution. The Stakeholders Scholars and scholar-practitioners engaged in collaborative research. Emerging scholars who are beginning their journey into collaborative research. Graduate students preparing for a career in academia.


2018 ◽  
Vol 73 (4) ◽  
pp. 532-548 ◽  
Author(s):  
Kara L. Hall ◽  
Amanda L. Vogel ◽  
Grace C. Huang ◽  
Katrina J. Serrano ◽  
Elise L. Rice ◽  
...  

2011 ◽  
Vol 20 (2) ◽  
pp. 143-156 ◽  
Author(s):  
Holly J Falk-Krzesinski ◽  
Noshir Contractor ◽  
Stephen M Fiore ◽  
Kara L Hall ◽  
Cathleen Kane ◽  
...  

Author(s):  
Kara Hall ◽  
Brooke A. Stipelman ◽  
Amanda L. Vogel ◽  
Daniel Stokols

Cross-disciplinary team-based research is conducted by collaborators from more than one area of expertise. The quality of the scholarship they produce can be influenced strongly by the quality of their collaborative interactions. A new field of study has emerged, called the science of team science (SciTS), that aims to develop an evidence base for the multilevel factors that hinder or facilitate effective research collaboration, such as team characteristics and processes and institutional, funding, and other conditions. This chapter begins with an overview of team science, including a discussion of the major dimensions and processes that shape science teams and unique considerations for cross-disciplinary teams. The chapter then introduces key concepts and milestones in the SciTS field, and reviews conceptual models that explicate the processes and contextual factors that influence research collaboration. The chapter concludes with a discussion of future directions, including additional evidence needed to promote effective cross-disciplinary teamwork.


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