Subscribe to Email Updates

The Life Sciences Data Explosion: Further Reading

by Catherine Chiang – December 27, 2017

Thanks to recent advances in life sciences research technology, such as genome sequencing, electron microscopy, and flow cytometry, scientific research is generating unstructured data more quickly than IT can deal with the data growth.

Interested in learning more? We’ve done your research for you. Here are five articles that will make you feel less alone under your explosion of data.

Biology’s Big Problem: There’s Too Much Data to Handle (Wired )

Why the sudden explosion of life sciences data? Why is handling massive amounts of data especially difficult for the life sciences research industry? This article provides a detailed background of biology’s growing data crisis, and explains challenges of data management specific to the life sciences field.

Storing Scientific Data for the Future (CNRS News )

The science industry lags behind in storing and protecting data over long periods of time, which results in lost research. Effective data preservation would create new opportunities to analyze historical data with new techniques, but unfortunately, data loss in the science industry prevents this low-cost research from occurring. Learn about the problems with current scientific data management strategies in this article.

The Next Digital Arms Race in Life Sciences (Bio-IT World )

The need to store and preserve data actually threatens to limit the pace of scientific research, due to the costs of storing that data. The cost of science, which generates data, goes down five times a year while the cost of the computing infrastructure only goes down twice a year. Therefore, it’s essential to find a data storage solution that can scale with your data. This article provides key factors to look for in a solution (hint: the ability to handle petabytes of data and billions of files, data accessibility, and low latency top the list!).

How healthcare organizations can reap value from vast stores of data (Health Data Management )

Healthcare organizations have immense amounts of data, and that data is only growing. This article describes strategies for deriving value from health data, which starts with effectively managing that data.

Data: The Lifeblood of Life Sciences Research (Bio-IT World )

How can a tiered storage approach help you manage your growing scientific data? Read up on the essential features of a successful tiered storage solution for scientific data in this article.

Related Content

Accelerating Image Analysis and Cancer Diagnosis with AIRI from Pure Storage and Igneous

November 28, 2018

Artificial Intelligence (AI) has various applications today, from self-driving vehicles to optimizing workflows in manufacturing operations to detecting malware on the internet. Deep learning is a form of AI where multi-layer neural networks are utilized to transform input data into progressively more defined and useful outputs. Deep learning differs from machine learning (ML) in that ML focuses on the development of task-specific algorithms that can be applied to specific problems, while deep learning focuses on extracting information at multiple levels.

read more

Altius Institute Accelerates Medical Breakthroughs with Igneous Data Protection as-a-Service

November 12, 2018

Protecting and managing enormous datasets was an increasingly urgent problem for the Altius Institute for Biomedical Sciences, where their data is at the core of advancing discoveries that save lives. Legacy backup tools proved too expensive due to Altius’ large infrastructure and IT resource requirements, leading Altius to choose Igneous for its scalability, simplicity, and long-term data management and distribution solutions.

read more

Announcing the Only Unstructured Data Management as-a-Service Solution!

October 23, 2018

As organizations are realizing the increasingly urgent problem of growing unstructured data, Igneous is the first to deliver an unstructured data management (UDM) solution, as-a-Service and at scale, to meet the demands of the modern data-centric organization with ease and simplicity.

read more