Personal Responsibility in the Engineering of Academic Software

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Software is often a critical component of scientific research. It can be part of the academic research methods used to produce research results, or it may be the actual academic research result. Software, however, has rarely been considered to be a citable artefact in its own right. With the advent of open-source software, artefact evaluation committees of conferences, and journals that include source code and running systems as part of the published supporting material, it is expected that software will increasingly be recognized as part of the academic process. It is therefore essential that the quality and sustainability of this software is accounted for.

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Rapid Analysis of Video Data

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Traditionally the first step in interpreting video is to code it into a form that can be analysed systematically. The coding process is currently performed manually, and it can be slow and difficult, and biased by subjectivity.  David Mawdsley (Research IT) recently presented a poster at the first “Advances in Data Science” conference explaining how we are helping Dr Caroline Jay’s group develop a way to quickly code human behaviours allowing the rapid analysis of hours of video.

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Introducing Unix to Digital Humanities

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Research IT members recently took part in a University of Manchester Digital Humanities workshop – “Introduction to data, the command line and automating tasks for the digital humanities”.  The workshop was led by Jez Cope, Research Data Manager, University of Sheffield Library and support was provided by Gerard Capes and David Mawdsley (Research IT, UoM).

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EPSRC Research Software Engineer Fellowships Call

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EPSRC has announced a call to support Research Software Engineer (RSE) Fellowships for a period of up to 5 years. The Fellowships are open to exceptional individuals in the software field who demonstrate leadership and have combined expertise in programming and a solid knowledge of the research environment.

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