Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the
B Nolan Nichols1, Kilian M Pohl
1Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA, USA, nolan.nichols@gmail.com.
Neuropsychology Review
|August 13, 2015
Summary
Neuroinformatics enhances brain and behavior research by promoting data sharing and utilizing information technology. This accelerates reproducible discoveries and data reuse across cognitive and neurosciences.
Area of Science:
- Neuroscience
- Cognitive Science
- Neuroinformatics
Background:
- Reproducible research in brain and behavior studies is crucial.
- Data sharing is increasingly mandated by funding agencies and publishers.
- Information technology facilitates data reuse and reproducible discoveries.
Purpose of the Study:
- To evaluate software tools for neuroinformatics in research.
- To discuss the advantages and disadvantages of adopting these tools.
- To present neuroimaging study scenarios for data management.
Main Methods:
- Reviewing available software applications for electronic data capture and management.
- Analyzing tools that streamline data harmonization, curation, and sharing.
- Presenting two contrasting neuroimaging study scenarios (cross-sectional and multisite longitudinal).
Main Results:
- Electronic data capture tools can decrease study setup time and improve quality control.
- Software facilitates the harmonization, curation, and sharing of neuroscientific data.
- Adopting these tools presents both advantages and disadvantages for research endeavors.
Conclusions:
- Neuroinformatics solutions are vital for enabling data reuse and reproducible research.
- Effective data management tools are essential for both cross-sectional and longitudinal studies.
- Adopting appropriate software accelerates insight into the brain-behavior relationship.
