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Thiemeís Online Platform Adds Primary Source Data
The Thieme Connect online resource for digital content updated its platform to include primary source data. Thieme is an international STM publisher specializing in orthopedics, radiology, anatomy, and chemistry that publishes more than 500 books and 140 peer-reviewed journals each year. Two Thieme chemistry journals, Synthesis and Synlett, were the test cases for primary data inclusion: Authors writing for these journals could opt to add their primary source data to Thieme Connect so other researchers could view it.
Now that the test period is complete, DataCite, a nonprofit network of 15 libraries and information centers, partnered with STM (the International Association of Scientific, Technical & Medical Publishers) to create recommendations for using primary data on online journal platforms.
The data in Thieme’s chemistry journals consists of computer simulations and new substance characterizations. Researchers used this data in their own articles but did not typically share it until Thieme’s test program. The data is currently accessible via a DOI (digital object identifier) reference on Thieme Connect. The German National Library of Science and Technology (TIB) worked with DataCite and Thieme to publish the primary data on Thieme Connect in a central archive.
“By gaining access to primary data university researchers can draw from a wealth of scientific resources that will directly benefit them in their own laboratory and research activities. This drives scientific progress by promoting synergies within the scientific community,” says Guido F. Herrmann, head of Thieme Chemistry.
Thieme encourages authors to contribute their primary data. “If a scientist publishes his primary data alongside his academic publication, these data will be archived permanently. Other scientists will be able to access, research, link to and of course cite them. They serve as an additional opportunity for scientific authors to draw attention to their research work,” according to Philip Kocienski, a test case participant from the University of Leeds.
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