The University of Southampton
University of Southampton Institutional Repository

A Linked Data Approach to Sharing Workflows and Workflow Results

Roos, Marco, Bechhofer, Sean, Zhao, Jun, Missier, Paolo, Newman, David, De Roure, David and Marshall, M. Scott (2010) A Linked Data Approach to Sharing Workflows and Workflow Results Lecture Notes in Computer Science, 6415, pp. 340-354.

Record type: Article


A bioinformatics analysis pipeline is often highly elaborate, due to the inherent complexity of biological systems and the variety and size of datasets. A digital equivalent of the ‘Materials and Methods’ section in wet laboratory publications would be highly beneficial to bioinformatics, for evaluating evidence and examining data across related experiments, while introducing the potential to find associated resources and integrate them as data and services. We present initial steps towards preserving bioinformatics ‘materials and methods’ by exploiting the workflow paradigm for capturing the design of a data analysis pipeline, and RDF to link the workflow, its component services, run-time provenance, and a personalized biological interpretation of the results. An example shows the reproduction of the unique graph of an analysis procedure, its results, provenance, and personal interpretation of a text mining experiment. It links data from Taverna,,, and The approach is relatively ‘light-weight’ and unobtrusive to bioinformatics users.

PDF DigitalMaterialsAndMethods_TavernaMyExpBioCatCW_AIDA_revised.pdf - Accepted Manuscript
Download (483kB)

More information

Published date: October 2010
Additional Information: ISBN 978-3-642-16557-3
Organisations: Web & Internet Science


Local EPrints ID: 271749
ISSN: 0302-9743
PURE UUID: c3b4f74c-d906-4b91-accc-9edad16f4abc
ORCID for David Newman: ORCID iD
ORCID for David De Roure: ORCID iD

Catalogue record

Date deposited: 03 Dec 2010 11:06
Last modified: 18 Jul 2017 06:39

Export record


Author: Marco Roos
Author: Sean Bechhofer
Author: Jun Zhao
Author: Paolo Missier
Author: David Newman ORCID iD
Author: David De Roure ORCID iD
Author: M. Scott Marshall

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.