Journal of translational medicine & epidemiology最新文献

{"title":"COLLABORATING WITH THE COMMUNITY: THE EXTRA-TERRITORIAL TRANSLATIONAL RESEARCH TEAM.","authors":"Joseph A Kotarba,&nbsp;Sharon A Croisant,&nbsp;Cornelis Elferink,&nbsp;Lauren E Scott","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The purpose of the present study is to suggest a revision of the <i>team science</i> concept to the more inclusive <i>extra-territorial research team</i> (ETRT). Translational thinking is largely marked by the perception of the team as a thing-like structure at the center of the scientific activity. Collaboration accordingly involves bringing external others (e.g., scientists, community members, and clinicians) into the team through limited or dependent participation. We suggest that a promising and innovative way to see the team is as an <i>idea</i>: a schema for assembling and managing <i>relationships</i> among otherwise disparate individuals with vested interests in the problem at hand. Thus, the ETRT can be seen as a <i>process</i> as well as an <i>object</i>. We provide a case study derived from a qualitative analysis of the impact of the logic of translational science on a team assessment of environmental health following an off-coast oil disaster. The ETRT in question displayed the following principles of constructive relationship management: a high sense of <i>adventure</i> given the quick pace and timeliness given the relevance of the oil spill to all team members; regular meetings in the community to avoid the appearance of academic hegemony; open access by lay as well as institutional scientists; integration of emergency management coordinators into the group; and the languages of public health, environmental pharmacology/toxicology and coastal culture seamlessly interwoven in discussion. The ETRT model is an appropriate strategy for mobilizing and integrating the knowledge and skills needed for comprehensive science and service responses, especially during crisis.</p>","PeriodicalId":90635,"journal":{"name":"Journal of translational medicine & epidemiology","volume":"2 2","pages":"1038"},"PeriodicalIF":0.0,"publicationDate":"2014-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4307798/pdf/nihms649932.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33345103","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}

{"title":"Advancing Transdisciplinary Research: The Transdisciplinary Research on Energetics and Cancer Initiative.","authors":"Sarah Gehlert, Kara Hall, Amanda Vogel, Sarah Hohl, Sheri Hartman, Linda Nebeling, Susan Redline, Kathryn Schmitz, Mark Thornquist, Ruth Patterson, Beti Thompson","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Strategies for constructing and maintaining cross-disciplinary teams are in their infancy. We outline strategies to support one form, transdisciplinary research, in a major initiative of the National Cancer Institute, the Transdisciplinary Research in Energetics and Cancer 2 (TREC2) initiative. Discussion of the TREC2 sites' experiences with transdisciplinarity is structured around a conceptual model that identifies four iterative phases of transdisciplinary research. An active coordination center, regular face-to-face meetings, and input from external advisors were instrumental in moving TREC2 to the translation phase. The possibilities for advancements in the science of energetics and cancer increased as investigator ties became denser. TREC2 can be seen as a flagship effort in transdisciplinary science that provides lessons on moving ideas from development to translation.</p>","PeriodicalId":90635,"journal":{"name":"Journal of translational medicine & epidemiology","volume":"2 2","pages":"1032"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209479/pdf/nihms630681.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32780478","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}

{"title":"Pioneering the Transdisciplinary Team Science Approach: Lessons Learned from National Cancer Institute Grantees.","authors":"Amanda L Vogel, Brooke A Stipelman, Kara L Hall, Linda Nebeling, Daniel Stokols, Donna Spruijt-Metz","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The National Cancer Institute has been a leader in supporting transdisciplinary (TD) team science. From 2005-2010, the NCI supported Transdisciplinary Research on Energetic and Cancer I (TREC I), a center initiative fostering the TD integration of social, behavioral, and biological sciences to examine the relationships among obesity, nutrition, physical activity and cancer. In the final year of TREC I, we conducted qualitative in-depth-interviews with 31 participating investigators and trainees to learn more about their experiences with TD team science, including challenges, facilitating factors, strategies for success, and impacts. Five main challenges emerged: (1) limited published guidance for how to engage in TD team science, when TREC I was implemented; (2) conceptual and scientific challenges inherent to efforts to achieve TD integration; (3) discipline-based differences in values, terminology, methods, and work styles; (4) project management challenges involved in TD team science; and (5) traditional incentive and reward systems that do not recognize or reward TD team science. Four main facilitating factors and strategies for success emerged: (1) beneficial attitudes and beliefs about TD research and team science; (2) effective team processes; (3) brokering and bridge-building activities by individuals holding particular roles in a research center; and (4) funding initiative characteristics that support TD team science. Broad impacts of participating in TD team science in the context of TREC I included: (1) new positive attitudes about TD research and team science; (2) new boundary-crossing collaborations; (3) scientific advances related to research approaches, findings, and dissemination; (4) institutional culture change and resource creation in support of TD team science; and (5) career advancement. Funding agencies, academic institutions, and scholarly journals can help to foster TD team science through funding opportunities, institutional policies on extra-departmental and cross-school collaboration, promotion and tenure policies, and publishing opportunities for TD research.</p>","PeriodicalId":90635,"journal":{"name":"Journal of translational medicine & epidemiology","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280018/pdf/nihms-630630.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32946920","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}

{"title":"The 'Welcome Letter': A Useful Tool for Laboratories and Teams.","authors":"L Michelle Bennett, Richard Maraia, Howard Gadlin","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The ability to clearly set expectations is an important leadership characteristic. However it is very common for individuals heading up research laboratories or scientific collaborations to struggle with, or not identify the advantages of, explicitly communicating what they expect of the people working in their lab or participating on their team, not to mention what the participants can expect in return. Here we describe a 'Welcome Letter' as a tool that can be used in the scientific setting to effectively create a framework for working relationships and serve as a scaffold for building trust. The 'Welcome Letter' enables the lab leader to articulate expectations prior to incorporating new members into the group. Scientific teams can use the letter in much the same way, crafting it together to develop a shared vision for the functioning of the collaboration and once crafted, sharing it with new team members.</p>","PeriodicalId":90635,"journal":{"name":"Journal of translational medicine & epidemiology","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5479682/pdf/nihms865377.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35120419","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}

{"title":"How to Tell the Truth with Statistics: The Case for Accountable Data Analyses in Team-based Science.","authors":"Jonathan A L Gelfond, Craig M Klugman, Leah J Welty, Elizabeth Heitman, Christopher Louden, Brad H Pollock","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Data analysis is essential to translational medicine, epidemiology, and the scientific process. Although recent advances in promoting reproducibility and reporting standards have made some improvements, the data analysis process remains insufficiently documented and susceptible to avoidable errors, bias, and even fraud. Comprehensively accounting for the full analytical process requires not only records of the statistical methodology used, but also records of communications among the research team. In this regard, the data analysis process can benefit from the principle of accountability that is inherent in other disciplines such as clinical practice. We propose a novel framework for capturing the analytical narrative called the Accountable Data Analysis Process (ADAP), which allows the entire research team to participate in the analysis in a supervised and transparent way. The framework is analogous to an electronic health record in which the dataset is the \"patient\" and actions related to the dataset are recorded in a project management system. We discuss the design, advantages, and challenges in implementing this type of system in the context of academic health centers, where team based science increasingly demands accountability.</p>","PeriodicalId":90635,"journal":{"name":"Journal of translational medicine & epidemiology","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539260/pdf/nihms699844.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33934905","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}

{"title":"Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure.","authors":"Jihad S Obeid,&nbsp;Layne M Johnson,&nbsp;Sarah Stallings,&nbsp;David Eichmann","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Fostering collaborations across multiple disciplines within and across institutional boundaries is becoming increasingly important with the growing emphasis on translational research. As a result, Research Networking Systems that facilitate discovery of potential collaborators have received significant attention by institutions aiming to augment their research infrastructure. We have conducted a survey to assess the state of adoption of these new tools at the Clinical and Translational Science Award (CTSA) funded institutions. Survey results demonstrate that most CTSA funded institutions have either already adopted or were planning to adopt one of several available research networking systems. Moreover a good number of these institutions have exposed or plan to expose the data on research expertise using linked open data, an established approach to semantic web services. Preliminary exploration of these publically-available data shows promising utility in assessing cross-institutional collaborations. Further adoption of these technologies and analysis of the data are needed, however, before their impact on cross-institutional collaboration in research can be appreciated and measured.</p>","PeriodicalId":90635,"journal":{"name":"Journal of translational medicine & epidemiology","volume":"2 2","pages":"1026"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610407/pdf/nihms-701217.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34280091","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}