Sentence examples for engage data from inspiring English sources

Exact(10)

A dynamic interfirm network perspective implies that we engage data on these firms in new ways.

The examples are carefully chosen, and they are expounded in a way that encourages students to engage data using the same processes as a practicing biologist.

Moreover, PRISM does not assess changes in four of the activity areas outlined in the comprehensive intervention: engage data users and data producers, identify information needs, build data-use capacities, and strengthen an organization's data-use infrastructure.

Our experience is that evaluations, particularly after the intervention has been implemented, remain limited by: a lack of suitable methods for evaluating interventions where only a small proportion of the eligible population will engage; data sharing prohibitions; privacy rules; and the interpretation of such rules by ethics committees.

This policy was designed to fulfil three main objectives: (1) facilitate data sharing within the consortium, (2) facilitate data sharing between ENGAGE and other research consortia and (3) make the ENGAGE data widely available to the scientific community as required by the funders of the consortium.

The establishment of an ENGAGE Data Access Committee (DAC) that would evaluate and approve access to ENGAGE data was preferred.

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Similar(50)

Here, four refugee community members were recruited, trained and supported to collect interview data and to engage in data interpretation in individual and two analytical workshops.

An ENGAGE data-sharing policy was established early in the project by the Ethics core of the consortia in cooperation with ENGAGE members and the ENGAGE leadership.

Several lessons can be learned from the ENGAGE data-sharing experience.

MJ was engaged in data collection, data analysis, and the drafting of the manuscript.

Cyber-based approaches may lack some of the appeal of fieldwork, but they offer students unique opportunities to engage with data gathered across time and from multiple, often remote sites while avoiding the logistical challenges to gathering such data.

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