The History Of Metadata

It was developed by Henriette Avram at the US Library of Congress for records that can be used by computers and shared among libraries. The term “metadata” is coined by Philip Bagley in his book, “Extension of Programming Language Concepts.”  In museums. Metadata in a museum context is the information that trained cultural documentation specialists, such as archivists, librarians, museum registrars and curators, create to index, structure, describe, identify, or otherwise specify works of art, architecture, cultural objects and their images.

Spotlight

DATAMIND Big Data & Analytics & IoT

DATAMIND provides data-driven decision support systems in Marketing, Operations and Risk areas by offering the most advanced set of data management, analytics, statistical & machine learning modelling and visualization solutions.

Other Infographics
news image

Importance of Data Encryption

Infographic | March 30, 2022

Reasons Why Encrypting Data is Crucial Encryption is the last line of defense Encryption Can Increase Consumer Trust Encryption Can Help to Protect Remote Workers

Read More
news image

Data Analytics Infographic Elements Flat Poster vector image

Infographic | March 12, 2020

The best selection of Royalty Free Data Analytics Vector Art, Graphics and Stock Illustrations

Read More
news image

Importance of Business Intelligence Strategy in Businesses

Infographic | February 15, 2022

Business Intelligence (BI) strategy helps organizations run smoothly and efficiently.

Read More
news image

Benefits of Data Modeling for Businesses

Infographic | February 3, 2022

Data modeling makes it easier for developers, data architects, business analysts, and other stakeholders to view and understand relationships among the data in a database or data warehouse. Benefits of data modeling helps companies take fast data-driven decisions and enhance the business processes at a higher rate.

Read More
news image

8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

Read More
news image

Data Science vs Computer Science vs Data Analytics

Infographic | May 14, 2021

With the rapid development of the technology sector, it can be quite a challenge to keep up with all the niches and stay current on their advancements. Of the many fields that are responsible for the increasing buzz in the sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology.

Read More

Spotlight

DATAMIND Big Data & Analytics & IoT

DATAMIND provides data-driven decision support systems in Marketing, Operations and Risk areas by offering the most advanced set of data management, analytics, statistical & machine learning modelling and visualization solutions.

Events