Katalyst-Nova Techset unveils Data Conversion Services for medRχiv

Katalyst-Nova Techset unveils Data Conversion Services for medRχiv

Nova Techset, the publishing & content management services division of Katalyst Technologies Inc., is proud to be the chosen data conversion partner of medRχiv, the health sciences preprint server.

medRχiv (pronounced ‘med-archive’) was launched in June 2019 by Cold Spring Harbor Laboratory, Yale University, and the global health knowledge provider BMJ. With immediate effect, medRχiv will make all posted manuscripts available as full-text HTML.  With over 12,150 original manuscripts in medRχiv and at least 1000 more being added each month, Katalyst–Nova Techset will be responsible for their conversion to full-text XML. Conversion means that each article will be fully searchable, both within itself and throughout the entire archive, and that articles can be easily read on mobile devices. By posting a preprint on medRχiv, authors make their research and findings immediately available to the scientific community. The medRχiv preprint server is hosted on HighWire Press‘s leading scholarly publishing platform.

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The full-text initiative is made possible by generous financial support for medRχiv from the Chan Zuckerberg Initiative. Katalyst–Nova Techset has worked with Cold Spring Harbor Laboratory for over ten years on its book and journal publishing program and was chosen as the conversion partner because of its track record of speed, accuracy, and value.

Katalyst-Nova Techset already undertakes XML conversion services for bioRχiv, the Laboratory’s biological sciences preprint server,  and is delighted to provide these services to medRχiv as well. In a recent article published by Cold Spring Harbor Laboratory, Dr. John Inglis, co-founder of medRχiv and bioRχiv, said, “bioRχiv’s content has been available in HTML for nearly two years.  With ever-increasing usage, and we believe the community will also welcome this medRχiv initiative. We intend to make medRχiv preprints available for machine analysis. We are working toward the creation of an XML repository that will provide bulk access to medRχiv articles for the purposes of text and data mining.” More than 8000  preprints reporting COVID-19 and SARS-CoV-2 research have been posted to the medRχiv platform.

Katalyst – Nova Techset’s CEO, Sreedhar Simha, says, “medRχiv requires content to be digitized at a rapid rate for the scientific community to offer comments on the manuscript. Our expertise in providing solutions to their other similar large-scale conversion operation, bioRχiv, helps to meet this facility’s demands with a flexible scale-up or scale-down production team. Our 24×7 production support and real-time tracking help to stage up the articles online with a minimum threshold of 6 hours and an average of 24 hours from article submission.”