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Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community

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Abstract

Accelerating insight into the relation between brain and behavior entails conducting small and large-scale research endeavors that lead to reproducible results. Consensus is emerging between funding agencies, publishers, and the research community that data sharing is a fundamental requirement to ensure all such endeavors foster data reuse and fuel reproducible discoveries. Funding agency and publisher mandates to share data are bolstered by a growing number of data sharing efforts that demonstrate how information technologies can enable meaningful data reuse. Neuroinformatics evaluates scientific needs and develops solutions to facilitate the use of data across the cognitive and neurosciences. For example, electronic data capture and management tools designed to facilitate human neurocognitive research can decrease the setup time of studies, improve quality control, and streamline the process of harmonizing, curating, and sharing data across data repositories. In this article we outline the advantages and disadvantages of adopting software applications that support these features by reviewing the tools available and then presenting two contrasting neuroimaging study scenarios in the context of conducting a cross-sectional and a multisite longitudinal study.

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Notes

  1. http://grants.nih.gov/grants/guide/notice-files/NOT-OD-03-032.html

  2. http://resource.loni.usc.edu/collaboration

  3. http://demo.neuroinfodb.org/login.php

  4. https://redcap.vanderbilt.edu/consortium/library

  5. http://www.w3.org/XML/Schema

  6. http://marketplace.xnat.org

  7. http://grants.nih.gov/grants/guide/notice-files/NOT-MH-15-012.html

  8. http://rdocdb.nimh.nih.gov/wp-content/uploads/repository_flowchart1.png

  9. http://www.hhs.gov/ocr/privacy/hipaa/understanding/index.html

  10. https://ndar.nih.gov/policies_standard_operating_procedures.html#sop5

  11. https://ndar.nih.gov/standards.html#GUID

  12. http://rdocdb.nimh.nih.gov/wp-content/uploads/RDoCdb_InfCon_Language7141.docx

  13. https://dmptool.org/

  14. http://bids.neuroimaging.io

  15. https://www.limesurvey.org

  16. http://www.blaise.com

  17. http://www.pstnet.com/eprime.cfm

  18. https://subversion.apache.org

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Acknowledgements

This work was supported by the U.S. National Institute on Alcohol Abuse and Alcoholism (NIAAA) (U01 AA021697, R01 AA005965, R01 AA012388, U01 AA013521, U01 AA017347, U01 AA017923). It was also supported by the Creative and Novel Ideas in HIV Research Program (CNIHR) through a supplement to the University of California at San Francisco (UCSF) Center For AIDS Research funding (P30 AI027763). This funding was made possible by collaborative efforts of the Office of AIDS Research, the National Institutes of Allergies and Infectious Diseases, and the International AIDS Society.

Funding Sources

U.S. National Institute on Alcohol Abuse and Alcoholism (NIAAA).

(U01 AA021697, R01 AA005965, R01 AA012388, U01 AA013521, U01 AA017347, U01 AA017923).

Creative and Novel Ideas in HIV Research Program (CNIHR) (P30 AI027763).

Conflict of interest

Neither author has conflicts of interest with the information presented herein.

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Authors and Affiliations

  1. Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA, USA

    B. Nolan Nichols & Kilian M. Pohl

  2. Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA

    B. Nolan Nichols & Kilian M. Pohl

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  1. B. Nolan Nichols
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  2. Kilian M. Pohl
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Correspondence to B. Nolan Nichols.

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Nichols, B.N., Pohl, K.M. Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community. Neuropsychol Rev 25, 356–368 (2015). https://doi.org/10.1007/s11065-015-9293-x

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  • DOI: https://doi.org/10.1007/s11065-015-9293-x

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