Sentence examples for credibility of data from inspiring English sources

Higher credibility of data.

This paper addresses issue of sensitivity of efficiency classification of variable returns to scale (VRS) technology for enhancing the credibility of data envelopment analysis (DEA) results in practical applications when an additional decision making unit (DMU) needs to be added to the set being considered.

The problem of data veracity addresses the need to verify humanitarian/crisis data, so that the credibility of data sources is established (e.g., by verifying metadata which is data about data, that describes the content and context to ensure that data is reliable) and humanitarian efforts are not derailed through the spreading of incorrect or stale information.

Potential improvements in external environmental accounting initiatives from Industry 4.0 could include: Better data quality – improved timeliness, accuracy, reliability and comparability of reported environmental accounting data Reduced opportunity for greenwash and brownwash Less management discretion over what is measured, and how it is measured and reported Higher credibility of data.

To aid the credibility of data, facilitators' reflected interpretations back during the focus groups.

Credibility of data was tested by two colleagues and by presenting themes at seminars and conferences.

To achieve credibility of the data, this information was triangulated with that obtained from the observations during the facility survey, the document review and expanded field notes.

These guiding principles aim to address potential pitfalls, ensure ethical data management, trustworthiness and credibility of the data, and the integrity of researcher-decision-maker partnerships.

To promote credibility, triangulation of data sources and investigator triangulation were used.

Still, with regard to the expressed credibility of objective data found in our material, we noted ambivalence among participants: Objective data, numerical data, were often depicted as mere black and white and of limited use or value to clinicians – simultaneously, scores were frequently used in communication.

All researchers were conscious of their personal and professional biases, and therefore constantly reflected and debated during data collection and analysis to improve the credibility of the data.