Sentence examples for data management principles from inspiring English sources

Key issues related to electronic information systems, such as data management principles and long-term database maintenance, are discussed.

In this article, we firstly provide an overview of the state of the art standard compliant techniques and methodologies for the practical implementation of simple, measurable, achievable, repeatable, and time-based (SMART) hydrological data management principles.

Today's marketer needs to go well beyond reporting and metrics, and be more proficient in a full range of analytical skills –including knowledge of data management principles and analytical strategies, and an understanding of the role of data quality, the importance of data governance, and the value of data in marketing disciplines.

This was based on his presentation at the 37th International Symposium on Remote Sensing of Environment in Tshwane, South Africa in May 2017 about how the emerging set of data management principles developed by GEO applies to interdisciplinary data management at SEDAC.

The research data management team at the University of California, Berkeley implemented a domain-based Librarian Training Program in order to upskill liaison librarians in research data management principles and create a community of practice among librarians providing research data support.

"There's a need to have data supply chain and data management principles on the foundation of enterprise data management and enterprise class services.

His books correct common computational errors made across the range of social sciences, and articulate principles for data management and dissemination.

The findings demonstrated good to excellent compliance between HAAD's data management practices and the Charter principles, indicating a high level of data management maturity.

Elisabeth Long has partnered with the course's creators, Professors Victoria Prince, Stefano Allesina, and Stephanie Palmer, to provide a class session that introduces students to the principles of data management in the lab setting.

Where they cannot be resolved effectively, one solution is to seek to influence the data landscape so that it moves towards using more standardised principles of data management.

Our data management systems comply with the principles that govern biomedical research involving human subjects, the Declaration of Helsinki and the Good Clinical Practice.