Sentence examples for data management skills from inspiring English sources

This institutional clinical data base on breast cancer is operated by DATA MANAGEMENT AND ANALYSIS CENTER (DMAC), approved for its data management skills as data processing centers by INCa (French National Institute for Cancer) in 2007.

Not so long ago the aggregation, analysis and illustration of data from social media platforms such as Twitter demanded significant programming and advanced data management skills [20].

With regard to data quality skills, curators appeared to care more about understanding user's requirements and specific data management skills than end users, while end users valued the skills needed to deal with information overload more highly — those needed to identify useful, relevant information from large amounts of data.

Data management skills covered demonstration of the software installation, data collection and cleaning, data transfer and storage and data interpretation as well as hands on use of the data extraction tool and practical examples on how to improve data quality.

As Lafond et al. point out, the capability of the clinical information systems is also influenced greatly by the individual skills and behavior of the staff (17) and, therefore, individual data management skills should be strengthened.

DHIS weaknesses reported in the literature include poor quality data, incomplete reporting, delayed availability of information, low data use, and inadequate information management skills of DHIS personnel [ 31, 52, 53].

Visualization, data management and programming skills are essentially left to learning-by-doing.

The latter is often due to lack of sufficient data management and statistical skills on-site (17).

The majority reported having training on data management and IT skills but more than 50% reported that they felt further training is needed in areas of Oncology, Anatomy and physiology, audit and research, peer-review, and leadership skills.

Of six training programs focusing on a single research competency, four focused on research ethics [ 14, 15, 19, 22] and one focused on systematic reviews [ 17], whereas the other one targeted data management and analysis skills [ 20].

They have to deal with chronic under-investment in data management and analysis skills and need to push for more realistic 'overheads' from donors to support real costs of research infrastructure.