Roles dissemination and implementation scientists can play in supporting research teams

Dissemination and Implementation Research: Challenges and Opportunities

Organizational theory for dissemination and implementation research

BACKGROUND Even under optimal internal organizational conditions, implementation can be undermined by changes in organizations' external environments, such as fluctuations in funding, adjustments in contracting practices, new technology, new legislation, changes in clinical practice guidelines and recommendations, or other environmental shifts. Internal organizational conditions are increasingl...

Data Scientists in Software Teams

The demand for analyzing large scale telemetry, machine, and quality data is rapidly increasing in software industry. Data scientists are becoming popular within software teams, e.g., Facebook, LinkedIn and Microsoft are creating a new career path for data scientists. In this paper, we present a large scale survey with 793 professional data scientists at Microsoft to understand their educationa...

Bridging research and practice: models for dissemination and implementation research.

CONTEXT Theories and frameworks (hereafter called models) enhance dissemination and implementation (D&I) research by making the spread of evidence-based interventions more likely. This work organizes and synthesizes these models by (1) developing an inventory of models used in D&I research; (2) synthesizing this information; and (3) providing guidance on how to select a model to inform study de...

Measurement resources for dissemination and implementation research in health.

BACKGROUND A 2-day consensus working meeting, hosted by the United States National Institutes of Health and the Veterans Administration, focused on issues related to dissemination and implementation (D&I) research in measurement and reporting. Meeting participants included 23 researchers, practitioners, and decision makers from the USA and Canada who concluded that the field would greatly benef...