Data Management Plan
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All research data and outputs derived from this project will be managed following the FAIR principles. They will be findable and accessible, as the HABS data and informatics team is currently building a novel IT infrastructure to improve the current procedure of open access and to facilitate/automatise data queries using an exhaustive set of descriptors and metadata information. Likewise, the WALLe group is in the process of being integrated to the Global Alzheimer’s Association Interactive Network (GAAIN) cohort inventory, which fosters data discovery, collaboration, and sharing through facilitated access to study variables in a transparent way across worldwide cohorts in AD research. In addition, as it represents a core aspect of this project, all neuroimaging data format and nomenclature will be standardized following the methods and recommendations from the Brain Imaging Data Structure (BIDS) initiative, ensuring that the project’s outputs are interoperable and reusable by third parties. Prior to the publication process, pre-prints describing the outputs from the different research objectives will be made available to the community on the most relevant pre-print servers (e.g. medRxiv, bioRxiv). All manuscripts generated will be published in open-access peer-reviewed journals only, and the accompanying anonymized data will be deposited on open data repositories, such as the Open Science Framework, OpenNeuro, or NeuroVault platforms. In addition, scripts and processing pipelines will be systematically described, commented, and shared with the community (e.g. via GitHub) to encourage replicability of the project’s methodologies and findings. Part of the HABS longitudinal dataset has already been made accessible to the public upon request, which yielded so far more than 40 additional research projects, and the HABS team is now working on releasing the next 5 years of the follow-up data. As per National Institutes of Health (NIH) open access regulations, both WALLe and HABS studies are committed to publicly releasing their full datasets within maximum 6 months after funding completion or after publication of their main research objectives, whichever comes first.
