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Implementing Informatics Tools with Data Management Plans for Disease Area Research Cover

Implementing Informatics Tools with Data Management Plans for Disease Area Research

Open Access
|Aug 2023

References

  1. AbuHalimeh, A. 2022. Improving Data Quality in Clinical Research Informatics Tools. Frontiers in Big Data, 5: 16. DOI: 10.3389/fdata.2022.871897
  2. Brandt, CA, et al. 2006. Informatics tools to improve clinical research study implementation. Contemporary Clinical Trials, 27(2): 112122. DOI: 10.1016/j.cct.2005.11.013
  3. Case Report Form (CRF library). Available at: https://commondataelements.ninds.nih.gov/crf-library (Accessed: 13 October 2022).
  4. Federal Interagency Traumatic Brain Injury Research Informatics System (FITBIR). Available at: https://fitbir.nih.gov/ (Accessed: 6 November 2017).
  5. Gazali, KS and Singh, I. 2017. Artificial intelligence based clinical data management systems: A review. Informatics in Medicine Unlocked, 9: 219229. DOI: 10.1016/j.imu.2017.09.003
  6. Grinnon, ST, et al. 2012. National Institute of Neurological Disorders and Stroke Common Data Element Project – approach and methods. Clinical Trials, 9(3): 322329. DOI: 10.1177/1740774512438980
  7. Johnson, SB, et al. 2010. Using global unique identifiers to link autism collections. Journal of the American Medical Informatics Association: JAMIA, 17(6): 689695. DOI: 10.1136/jamia.2009.002063
  8. Krishnankutty, B, et al. 2012. Data management in clinical research: An overview. Indian Journal of Pharmacology, 44(2): 168172. DOI: 10.4103/0253-7613.93842
  9. Lin, D, et al. 2020. The TRUST Principles for digital repositories. Scientific Data, 7(1): 15. DOI: 10.1038/s41597-020-0486-7
  10. Miksa, T, et al. 2019. Ten principles for machine-actionable data management plans. PLoS Computational Biology, 15(3): 115. DOI: 10.1371/journal.pcbi.1006750
  11. Navale, V, et al. 2018. Standardized Informatics Computing Platform for Advancing Biomedical Discovery Through Data Sharing. bioRxiv. DOI: 10.1101/259465
  12. Navale, V, et al. 2019. Development of an informatics system for accelerating biomedical research. F1000Research, 8: 119: DOI: 10.12688/f1000research.19161.2
  13. Navale, V and McAuliffe, M. 2022. The Integration of a Canonical Workflow Framework with an Informatics System for Disease Area Research. Data Intelligence, 4(2): 186195: DOI: 10.1162/dint_a_00125
  14. NOT-OD-21-013: Final NIH Policy for Data Management and Sharing. Available at: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html (Accessed: 2 June 2023).
  15. Oviedo Sarmiento, OJ, et al. 2021. Data management plan for a community-level study of the hidden burden of cutaneous leishmaniasis in Colombia. BMC Research Notes, 14(1): 16: DOI: 10.1186/s13104-021-05618-4
  16. Parkinson’s Disease Biomarker Program (PDBP). Available at: https://pdbp.ninds.nih.gov/how-to-guide (Accessed: 20 December 2018).
  17. Wilkinson, MD, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3: 19: DOI: 10.1038/sdata.2016.18
  18. Williams, M, Bagwell, J and Nahm Zozus, M. 2017. Data management plans: the missing perspective. Journal of Biomedical Informatics, 71: 130142. DOI: 10.1016/j.jbi.2017.05.004
Language: English
Submitted on: Nov 7, 2022
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Accepted on: Jun 22, 2023
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Published on: Aug 23, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Vivek Navale, Matthew McAuliffe, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.