Features about 'DATA MANAGEMENT'

HPC 2013-14

Data management system evolution

Policy-based systems will become pervasive, says Reagan W. Moore

October/November 2010

Well oiled machine

Greg Blackman reports on some of the uses for data management platforms in petrochemical production and R&D labs

June/July 2010

Informatics is just the tonic

Greg Blackman looks at some of the trends taking place in the pharmaceutical industry and how data management software is being used

June/July 2010

Informatics is just the tonic

Greg Blackman looks at some of the trends taking place in the pharmaceutical industry and how data management software is being used

April/May 2010

A booming banking sector

Biobanks have their own unique requirements in terms of data management and, with increasing amounts of molecular data being generated around biobank samples, sophisticated informatics solutions are essential, as Greg Blackman finds out

February/March 2010

All part of the service

Contract laboratories must constantly adapt to meet the requirements of their clients and employ flexible data management solutions to do so, as Greg Blackman finds out

October/November 2009

Fuelling the future

Greg Blackman looks at how data management software is used in the petrochemical industry

August/September 2009

A taste for LIMS

Greg Blackman looks at the role LIMS, as well as data management software as a whole, plays in putting food on our plates

June/July 2009

Data pharming

Greg Blackman looks at some of the current trends taking place in the pharmaceutical industry with regards to data management

June/July 2008

Quality control is food and drink for LIMS

Clare Sansom explores some recent applications of LIMS in the food and beverage industry

June/July 2008

Biosample storage

Paul Schreier examines which functions are being added to LIMS to make them suitable for biobanking and points to several reference projects.

April/May 2008

The software driving the petrochemicals industry

Gemma Simpson looks at the key decisions made by petrochemicals companies looking for software

February / March 2008

Analysis beyond the transcriptome

Data management in the field of microarrays is all about statistical rigour, as Clare Sansom discovers

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