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</script>{"references": ["1. Katherine Wolstencroft, Robert Haines, Donal Fellows, Alan Williams, David Withers, Stuart Owen, Stian Soiland-Reyes, Ian Dunlop, Aleksandra Nenadic, Paul Fisher, Jiten Bhagat, Khalid Belhajjame, Finn Bacall, Alex Hardisty, Abraham Nieva de la Hidalga, Maria P. Balcazar Vargas, Shoaib Sufi, Carole Goble (2013): The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in thecloud. In: Nucleic Acids Research, 41(W1): W557\u2013W561. doi:10.1093/nar/gkt328", "2. Paolo Missier, Satya Sahoo, Jun Zhao, Carole Goble, Amit Sheth. (2010): Janus: from Workflows to Semantic Provenance and Linked Open Data in Provenance and Annotation of Data and Processes, Third International Provenance and Annotation Workshop, (IPAW'10), 15\u201316 Jun 2010. Springer, Berlin: 129\u2013141. doi:10.1007/978-3-642-17819-1_16 [pdf]", "3. Stian Soiland-Reyes, Matthew Gamble, Robert Haines (2014): Research Object Bundle 1.0. researchobject.org Specification. https://w3id.org/bundle/ 2014-11-05. doi:10.5281/zenodo.12586", "4. Khalid Belhajjame, Jun Zhao, Daniel Garijo, Matthew Gamble, Kristina Hettne, Raul Palma, Eleni Mina, Oscar Corcho, Jos\u00e9 Manuel G\u00f3mez-P\u00e9rez, Sean Bechhofer, Graham Klyne, Carole Goble (2015): Using a suite of ontologies for preserving workflow-centric research objects, Web Semantics: Science, Services and Agents on the World Wide Web. doi:10.1016/j.websem.2015.01.003", "5. Daniel Garijo, Yolanda Gil, Oscar Corcho (2014): Towards workflow ecosystems through semantic and standard representations. Proceeding WORKS '14 Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science. doi:10.1109/WORKS.2014.13 [pdf]", "6. V\u00edctor Cuevas-Vicentt\u00edn, Parisa Kianmajd, Bertram Lud\u00e4scher, Paolo Missier, Fernando Chirigati, Yaxing Wei, David Koop, Saumen Dey (2014): The PBase Scientific Workflow Provenance Repository. International Journal of Digital Curation 9(2). doi:10.2218/ijdc.v9i2.332", "7. Stian Soiland-Reyes, Alan R Williams (2016): What exactly happened to LSID? myGrid developer blog, 2016-02-26. http://dev.mygrid.org.uk/blog/2016/02/what-exactly-happened-to-lsid/ doi:10.5281/zenodo.46804", "8. Julie A McMurry, Niklas Blomberg, Tony Burdett, Nathalie Conte, Michel Dumontier, Donal Fellows, Alejandra Gonzalez-Beltran, Philipp Gormanns, Janna Hastings, Melissa A Haendel, Henning Hermjakob, Jean-Karim H\u00e9rich\u00e9, Jon C Ison, Rafael C Jimenez, Simon Jupp, Nick Juty, Camille Laibe, Nicolas Le Nov\u00e8re, James Malone, Maria Jesus Martin, Johanna R McEntyre, Chris Morris, Juha Muilu, Wolfgang M\u00fcller, Christopher J Mungall, Philippe Rocca-Serra, Susanna-Assunta Sansone, Murat Sariyar, Jacky L Snoep, Natalie J Stanford, Neil Swainston, Nicole L Washington, Alan R Williams, Katherine Wolstencroft, Carole Goble, Helen Parkinson (2015): 10 Simple rules for design, provision, and reuse of identifiers for web-based life science data. Zenodo. Submitted to PLoS Computational Biology. doi:10.5281/zenodo.31765"]}
Apache Taverna is a scientific workflow system for combining web services and local tools. Taverna records provenance of workflow runs, intermediate values and user interactions, both as an aid for debugging while designing the workflow, but also as a record for later reproducibility and comparison. Taverna also records provenance of the evolution of the workflow definition (including a chain of wasDerivedFrom relations), attributions and annotations; for brevity we here focus on how Taverna's workflow run provenance extends PROV and is embedded with Research Objects.
Document id: https://github.com/stain/2016-provweek-tavernaprov/
workflow, prov, research object, provenance, taverna, scientific workflow, linked data, reproducibility
workflow, prov, research object, provenance, taverna, scientific workflow, linked data, reproducibility
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 44 | |
| downloads | 10 |

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