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Using Provenance to Support Good Laboratory Practice in Grid Environments

Ney, Miriam and Kloss, Guy Kristoffer and Schreiber, Andreas (2013) Using Provenance to Support Good Laboratory Practice in Grid Environments. In: Data Provenance and Data Management in eScience Studies in Computational Intelligence, 426. Springer-Verlag Berlin Heidelberg. pp. 157-180. ISBN 978-3-642-29930-8. ISSN 1860-949X

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Official URL: http://link.springer.com/chapter/10.1007/978-3-642-29931-5_7


Conducting experiments and documenting results is daily business of scientists. Good and traceable documentation enables other scientists to confirm procedures and results for increased credibility. Documentation and scientific conduct are regulated and termed as “good laboratory practice.” Laboratory notebooks are used to record each step in conducting an experiment and processing data. Originally, these notebooks were paper based. Due to computerised research systems, acquired data became more elaborate, thus increasing the need for electronic notebooks with data storage, computational features and reliable electronic documentation. As a new approach to this, a scientific data management system (DataFinder) is enhanced with features for traceable documentation. Provenance recording is used to meet requirements of traceability, and this information can later be queried for further analysis. DataFinder has further important features for scientific documentation: It employs a heterogeneous and distributed data storage concept. This enables access to different types of data storage systems (e. g. Grid data infrastructure, file servers). In this chapter we describe a number of building blocks that are available or close to finished development. These components are intended for assembling an electronic laboratory notebook for use in Grid environments, while retaining maximal flexibility on usage scenarios as well as maximal compatibility overlap towards each other. Through the usage of such a system, provenance can successfully be used to trace the scientific workflow of preparation, execution, evaluation, interpretation and archiving of research data. The reliability of research results increases and the research process remains transparent to remote research partners.

Item URL in elib:https://elib.dlr.de/93376/
Document Type:Book Section
Title:Using Provenance to Support Good Laboratory Practice in Grid Environments
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ney, MiriamNeyMiriam (at) googlemail.comUNSPECIFIED
Kloss, Guy KristofferGuy.Kloss (at) aut.ac.nzUNSPECIFIED
Journal or Publication Title:Data Provenance and Data Management in eScience
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1007/978-3-642-29931-5_7
Page Range:pp. 157-180
Liu, QingQ.Liu@csiro.au
Bai, Quanquan.bai@aut.ac.nz
Giugni, StephenStephen.Giugni@csiro.au
Williamson, DarrellDarrell.Williamson@csiro.au
Taylor, JohnJohn.A.Taylor@csiro.au
Publisher:Springer-Verlag Berlin Heidelberg
Series Name:Studies in Computational Intelligence
Keywords:Provenance, Workflows, data management, laboratory notebook, grid computing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Deposited By: Schreiber, Andreas
Deposited On:09 Dec 2014 14:13
Last Modified:09 Dec 2014 14:13

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