Articles
7 Documents
1. Biomarkers as Common Data Elements for Symptom and Self-Management Science.The purpose of this article is to describe the outcomes of a collaborative initiative to share data across five schools of nursing in order to evaluate the feasibility of collecting common data elements (CDEs) and developing a common data repository to test hypotheses of interest to nursing scientists. This initiative extended work already completed by the National Institute of Nursing Research CDE Working Group that successfully identified CDEs related to symptoms and self-management, with the goal of supporting more complex, reproducible, and patient-focused research.https://www.ncbi.nlm.nih.gov/pubmed/29575635
2. Feasibility of Combining Common Data Elements Across Studies to Test a Hypothesis.The purpose of the this manuscript is to describe the efforts of a group of nurse scientists from five Schools of Nursing across the country (Case Western Reserve University, Duke University, Emory University, University of Maryland, University of Washington) working collaboratively to advance nursing science and bring momentum towards advancing methods for data sharing. The group engaged in efforts to test the feasibility of data sharing with the goal of developing a common data repository directed towards hypothesis testing in an area of mutual interest. An exemplar is presented, a pilot study in which retrospective data from previously initiated or completed studies at each school were collated. The group contrasts this retrospective data effort with a second exemplar of CDE use in a center grant located in one of our five Schools of Nursing. The successes and challenges that were encountered are described as well as recommendations for future initiatives. https://www.ncbi.nlm.nih.gov/pubmed/28231416
3. Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions.Common data elements (CDEs) are increasingly being used by researchers to promote data sharing across studies. The purposes of this article are to (a) describe the theoretical, conceptual, and definition issues in the development of a set of CDEs for research addressing self-management of chronic conditions; (b) propose an initial set of CDEs and their measures to advance the science of self-management; and (c) recommend implications for future research and dissemination. https://www.ncbi.nlm.nih.gov/pubmed/27486851
4. Advancing Symptom Science Through Use of Common Data Elements.The purposes of this article are to (a) recommend best practices for the use of CDEs for symptom science within and across centers; (b) evaluate the benefits and challenges associated with the use of CDEs for symptom science; (c) propose CDEs to be used in symptom science to serve as the basis for this emerging science; and (d) suggest implications and recommendations for future research and dissemination of CDEs for symptom science.http://www.ncbi.nlm.nih.gov/pubmed/26250061
5. Implementing common data elements across studies to advance research.This article discusses the philosophy of using common data elements across research studies and illustrates their use by the processes in a developmental center grant funded by the National Institutes of Health. http://www.ncbi.nlm.nih.gov/pubmed/25771192
6. Envisioning the future in symptom science.The purpose of this article is to describe and recommend ways our profession can accelerate knowledge development in symptom science and stimulate new frontiers of inquiry and policy. These recommendations include incorporating common tools and measures in our research, developing and maintaining a registry of common data elements (CDEs), leveraging the potential of “big data,” investigating ways to manage symptoms in context and clusters, considering symptom trajectories, and promoting policy initiatives focused on symptom management to improve health outcomes and patient and family quality of life.http://www.ncbi.nlm.nih.gov/pubmed/25085330
7. NINR Centers of Excellence: A logic model for sustainability, leveraging resources and collaboration to accelerate cross-disciplinary science. The purpose of this paper is to present a NINR Logic Model for Center Sustainability. The components of the logic model were derived from the presentations and robust discussions at the 2013 NINR Center Directors’ meeting focused on best practices for leveraging resources and collaboration as methods to promote center sustainability. Collaboration through development and implementation of cross-disciplinary research teams is critical to accelerate the generation of new knowledge for solving fundamental health problems. Sustainability of centers as a long-term outcome beyond the initial funding can be enhanced by thoughtful planning of inputs, activities, and leveraging resources across multiple levels. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253141