title: A case study for efficient management of high throughput primary lab data.
abstract: BACKGROUND
  In modern life science research it is very important to have an efficient management of high throughput primary lab data. To realise such an efficient management, four main aspects have to be handled: (I) long term storage, (II) security, (III) upload and (IV) retrieval.
  
  
  RESULTS
  In this paper we define central requirements for a primary lab data management and discuss aspects of best practices to realise these requirements. As a proof of concept, we introduce a pipeline that has been implemented in order to manage primary lab data at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK). It comprises: (I) a data storage implementation including a Hierarchical Storage Management system, a relational Oracle Database Management System and a BFiler package to store primary lab data and their meta information, (II) the Virtual Private Database (VPD) implementation for the realisation of data security and the LIMS Light application to (III) upload and (IV) retrieve stored primary lab data.
  
  
  CONCLUSIONS
  With the LIMS Light system we have developed a primary data management system which provides an efficient storage system with a Hierarchical Storage Management System and an Oracle relational database. With our VPD Access Control Method we can guarantee the security of the stored primary data. Furthermore the system provides high performance upload and download and efficient retrieval of data.
authors: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr, 3, 06466 Gatersleben, Germany. colmsee@ipk-gatersleben.de.
authors: Christian
authors: C
authors: Colmsee
authors: Steffen
authors: S
authors: Flemming
authors: Matthias
authors: M
authors: Klapperstück
authors: Matthias
authors: M
authors: Lange
authors: Uwe
authors: U
authors: Scholz