The majority of the mentors of the Taverna podling have raised concerns that they no longer have sufficient time available to help Taverna in the incubator.
In effect we will then have 2 semi-active mentors remaining for continuity. This has become a concern because Taverna is picking up speed and moving towards releases of the main code base (our first release was for a more self-contained library), and this means some effort is needed to review and guide us through those releases. We in the Taverna PPMC have already learnt a lot about the Apache Way, we have done our first release, we had 3 very successful GSOC students, and we have voted in our first new PPMC member. However knowing the effort needed to review a "new" code base for a release, we think it would not be fair on the remaining 2 mentors to take the full burden of responsibility. Therefore we would like to ask the Incubator PMC if anyone would be interested in becoming an active mentor of Taverna as we enter this exciting phase? About Taverna: http://taverna.incubator.apache.org/ Taverna is a domain-independent suite of tools used to design and execute data-driven workflows, which invoke a mixture of local and remote (REST, WSDL) services. Taverna is used by scientists and researchers in domains like bioinformatics, chemistry, musicology, biodiversity and virtual physiology to combine and process data from multiple sources using a wide variety of analytical tools. Taverna workflows can be designed in a graphical workbench, programmatically through the Taverna Language API, or using an RDF/JSON-based workflow format. They can be executed locally (command line, within workbench or through OSGi-based APIs), or on a Taverna server (REST/WSDL), which has been integrated by portals and frontends, including an Android mobile app. Taverna results include full provenance trace of the execution as we strive to support reproducible computational research. This is an exciting time for us, as we are not just releasing version 3 of Taverna, but also working on a Common Workflow Language integration (YaML), including support for coordinating Docker-based command line tools. We rely on a large selection of Apache tools, like Woden, Felix, Jena, Derby, Tika, Velocity, Commons, HTTP Client and Maven. -- Stian Soiland-Reyes Apache Taverna (incubating), Apache Commons RDF (incubating) http://orcid.org/0000-0001-9842-9718 --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org