Acknowledgements | Scientific Computing and Data

Acknowledging Clinical & Translational Science Awards (CTSA) Funding in Your Research

An acknowledgement of support from the Icahn School of Medicine at Mount Sinai and the CTSA grant UL1TR004419 from the National Center for Advancing Translational Sciences is required by National Institutes of Health (NIH) to appear in a publication of any material, whether copyrighted or not, based on or developed with Mount Sinai-supported computing resources, including Minerva, MSDW, and REDCap.

All Minerva users must reference the following two Minerva articles in their papers:

  • Kovatch P, Costa A, Giles Z, Fluder E, Cho HM, Mazurkova S. Big Omics Data Experience. SC Conf Proc. 2015 Nov;2015:39. doi: 10.1145/2807591.2807595. PMID: 30788464; PMCID: PMC6379072.
  • Kovatch P, Gai L, Cho HM, Fluder E, Jiang D. Optimizing High-Performance Computing Systems for Biomedical Workloads. IEEE Int Symp Parallel Distrib Process Workshops Phd Forum. 2020 May;2020:183-192. doi: 10.1109/ipdpsw50202.2020.00040. Epub 2020 Jul 28. PMID: 33088611; PMCID: PMC7575271.

A stipulation of the NIH S10 award includes an accurate acknowledgement statement in publications that utilize NIH-funded resources such as the S10 BODE and CATS partitions in Minerva. See text below.

  • If you have NIH-funded projects on Minerva, you MUST include the following acknowledgement in all your publications:This work was supported in part through the computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences. Research reported in this publication was also supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD026880 and S10OD030463. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

 

  • If you DO NOT have NIH-funded projects on Minerva, and/or you use our other services including MSDW and REDCap, you MUST include the following acknowledgement in all your publications:This work was supported in part through the computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences.

 

  • To associate the CTSA grant UL1TR004419 to an existing publication, please follow these instructions from the NIH (see the section “Associating Funding to your Publications”).