data management


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data management

Those tasks associated with the entry, transfer and/or preparation of source data and derived items for entry into a clinical trial database.

Examples
Database creation, data entry, review, coding, data editing, data QC, locking or archiving; it typically does not include source data capture.
References in periodicals archive ?
Increasing penetration of smartphones, in conjunction with rising per capita income, is expected to benefit the expansion of the subscriber data management market in the forthcoming years.
93% of organizations will have Cloud Data Management initiatives in place by the end of 2019 to drive success.
Attunity is a provider of data integration and big data management software solutions that enable availability, delivery and management of data across heterogeneous enterprise platforms, organisations and the cloud.
Key factors preventing organizations from maximizing the return on their data management investments include: A lack of the right technology to support data management 40% A lack of internal processes 36% Inadequate employee 69% engagement or training An absence of support from 33% senior management Note: Table made from bar graph.
• Best Buy-Side Enterprise Data Management Platform - NeoXam - DataHub
Imanis Data is the leader in enterprise data management powered by machine learning.
He established a Research Data Management infrastructure at Sheffield Hallam University and worked as a Research Associate at the Information School, The University of Sheffield, on RDM-related projects.
Data Management: A Practical Guide for Librarians should be in the hands of any librarian who seeks to find solid background information on data management.
PSI UK head, Sarah Eastty, said, 'We are pleased that the PSI Oxford office is growing in many dimensions - clinical, regulatory and now data management - all to align itself with our common goal: provide a safer and more secure clinical trial environment to our clients by running projects on-time and on-budget.'
There are good reasons to include the unstructured information in an enterprise data management solution.
"The first question I hear from clients is about the type of technology they need for successful data management when the truth is the systems have been available for years, but not the business focus on the process and measurement of their data," said Jane Griffin, principal, Deloitte Consulting LLP and a webcast presenter.
In moving to the next level of technology's value to the business, the need to mine this data is where the complementary concepts of customer data integration and master data management are key.

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