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"Metadata for Data: Data Management"

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

Importance of Metadata Cataloging in Research
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What is

What is Technology ?

Technology is the use of scientific knowledge for creating tools, processing actions and extracting of materials whether in industry or in our everyday lives. We apply technology in nearly all things that we do in our lives, we use technology at work, in communication, transportation, making food, extracting and securing information, running an organization and many more tasks, pretty much everywhere. Types of technology include information technology, banking technology, medical technology,

What is Data Management ?

Data management is the development and execution of policies and procedures in order to manage the information lifecycle needs of an enterprise ensuring the accessibility, reliability, and timeliness of the data for its users. Data Management enables organizations and enterprises to use data in: Organizing the enterprise data, Storing and preserving data for future re-use, Making data ready to use anytime, Share data with colleagues

What is Analytics ?

Analytics is the process of obtaining an optimal and realistic decision based on examining existing data, typically large sets of business data, with the aid of mathematics, statistics, specialized systems and software. In the last few years use of analytical methods to extract useful insights from data have gained immediate importance and has helped several companies improve their business performances.

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