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<p><strong>MEETINGS & EVENTS</strong></p> <p><strong>Upcoming:</strong> - We are currently planning the events for the second half of 2021. Ideas are very much welcome. - <strong>The deadline for submitting final papers for the DI Special Issue on CWFR has been shifted to 19.9.2021 since many authoring teams have problems to finish their papers due to vacation plans.</strong></p> <p><strong>ABOUT US</strong></p> <p>The CWFR (Canonical Workflow Frameworks for Research) initiative is motivated by deep gaps which we found between technological possibilities and principles on the one hand and data practices on the other hand. Deep insights in about 70 research projects let us observe 2 major paradoxes:</p> <p>(1) Researchers are aware about the FAIR principles, but do not yet want to change practices in the data labs. For making data FAIR they like to refer to the end phase of a data-driven project when a publication is being submitted. This will only include only a very small fraction of data which is being generated and used and making data FAIR at the very end will be costly and not useful to promote data science.</p> <p>(2) Having analysed the processes in data creation, managing, and processing across disciplines one can observe recurring patterns of work steps, but individual researchers believe that there work is special. Despite much effort to create technical workflow frameworks during the last decades, these are hardly not used in the data labs. </p> <p>G. Strawn describes this as "Standards are good for science, but not for the individual scientists". The reason is of course that the individual researcher is under some stress to publish new results and does not like interruptions caused by new technological inventions. They like tools which help them mastering their work in the shortest time possible.</p> <p>These paradoxes motivated us to start the CWFR initiative since it could address both paradoxes. Scientifically motivated workflows empowered by FAIR Digital Objects could help the researcher in his/her daily work, make many steps more efficient by using automated workflow methods and would immediately create FAIR compliant data without bothering the researcher with details. With this approach we do not want to replace existing and evolving workflow technologies, but to build on top of them offering libraries of components and basing it on an integrative standard.</p> <p>Current actions: - preparing the review of the final papers for the Special Issue on CWFR of the DI Journal - preparing meetings for the second half of 2021</p> <p>Current co-chairs: Alex Hardisty, Limor Peer, Peter Wittenburg</p> <p>If you are interested to get involved, please, send a note to peter.wittenburg@mpcdf.mpg.de </p> <p>Peter Wittenburg</p>
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