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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Data publication: towards a database of everything.

Vincent S Smith¹

¹Natural History Museum, Cromwell Road, London, SW7 5BD, UK. vince@vsmith.info

BMC Research Notes

|June 26, 2009

Summary

This summary is machine-generated.

Digital technologies are revolutionizing science with big data, but primary data sharing remains a challenge. Addressing this is crucial for scientific advancement and a comprehensive "database of everything".

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Area of Science:

Digital Science
Data Science
Scientific Communication

Background:

Science is undergoing a transformation due to digital technologies.
Massive data acquisition and communication are reshaping scientific collaboration and participation.
Digital data is the essential fuel for this scientific revolution.

Purpose of the Study:

To explore the reasons behind the limited publication of primary scientific data.
To examine the challenges in making scientific data publicly available.
To discuss the future of creating a comprehensive 'database of everything'.

Main Methods:

This essay analyzes the current state of scientific data sharing.
It discusses the obstacles hindering universal primary data publication.
It considers the implications of digital data availability for future scientific endeavors.

Main Results:

The publication of primary data is not yet a universal or mandatory practice in science.
Despite existing policies, widespread public data availability has not been achieved.
Significant challenges impede the goal of a comprehensive, accessible scientific database.

Conclusions:

The revolution in digital science necessitates a cultural shift towards open data.
Overcoming barriers to data sharing is critical for accelerating scientific discovery.
The vision of a 'database of everything' requires concerted efforts to ensure data accessibility and integration.