Sentence examples for data competency from inspiring English sources

Based on information generated from the consultations and in light of current information requirements now mandated by global initiatives, it is strongly recommended that data competency training should be included in professional pre-service and in-service settings.

Although there are some very real challenges for signal processing of physiological data to deal with, given the current state of data competency and nonstandardized structure, there are opportunities in each step of the process towards providing systemic improvements within the healthcare research and practice communities.

Here, we adapted and applied Kirkpatrick's evaluation framework for use in TA PD, because it offers a multilevel approach to evaluation that combines self-reported data with competency analysis (Kirkpatrick, 1994).

Aggregated review data, showing competency gaps and aligned strategic initiatives, highlight the areas where learning and development groups should focus.

A late response from one respondent felt that a key level four data-management competency "defines HIS information and work flows and maintains a set of health data standards to foster systems interoperability" should be included, as should the data-generation competency "develops clear health data and indicator definitions with metadata".

We have developed a standardised measurement of talent based on CV data, professional competencies and values inspired by headhunting and Business School HR tradition.

The framework and methodology is based on enhanced context (project data, user competencies and profiles), and use machine learning technics and ranking algorithm.

Data on competency-based evaluations, in-service exam scores, research presentation and publications, fellowship pursuance were collected.

First, competency data is becoming increasingly available.

Students with more comprehensive profiles (i.e. more competency data) will be given preference by employers via the ATS.

Of course, regardless of the caliber of student competency data, matching students with jobs only works if employers' job descriptions accurately capture and describe key competencies.