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Importance of Metadata Cataloging in Research

White Paper: Data In Science Technologies

Leveraging the DataLogger for Metadata Cataloging establishes a singular view of the meaningful attributes for your data and identifies access rights to this data. Data in Science Technologies is proposing the concept of a central Data Catalog called DataLogger, analyzes identified data sets and extracts the metadata into a searchable catalog. Read this informative whitepaper to learn more about how Metadata cataloging helps management make informed compliance decisions around Metadata and data created. It addresses: What are the features provided by DataLogger when it augments with HPC and analytics systems? How does DataLogger help in solving the Data Management issues? How does Data Logging work? What are the research facilities provided by the DataLogger? How research data can be systematically identified with a Data Catalog System? This Whitepaper on '' Importance of Metadata Cataloging'' highlights: Implementation of Data Catalog System Metadata Management Strategy around Research DataLogger Security and Features Taking full control of your Data Management using DataLogger Identifying what data exists in the environment

Implementing a Clinical Data Repository and Analytics Platform in 90 Days

White Paper: EClinical Solutions, LLC

What is the need of having a Clinical Data Repository and Analytics solution? Well, implementing a Clinical Data Repository (CDR) within a meaningful timeframe and a reasonable budget does not have to be a major IT initiative. With the right technology partner, a CDR can be implemented in 90 days. The capabilities are growing quickly and robust CDRs are available that allow companies to reap considerable value from clinical trial data. This informative whitepaper talks about the desired functionality of the platform, and demonstrates the best practices for implementing a CDR while heeding to queries like: How to maximize and utilize all clinical and operational data for real-time healthcare analytics? What are the critical components in successfully implementing the CDR platform? What are the technology benefits of implementing a next generation CDR?

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