Abstract
Data storage and standards are often the last consideration, or given no consideration at all, when assessing human factors. Generally, objective and subjective data are collected and used for a specific purpose and then stored as needed by individual investigators. Data storage may include hard drives, hard copies, removable storage devices (e.g. USB sticks, DVDs), and a plethora of file types (e.g. delimited, pdfs, proprietary formats). Historically, these data have not been standardized or stored in a manner that allows for easy and widespread future access and use. This results in potential duplicate efforts and dollars, increased analysis time, and delays in decision making while waiting for new data to be generated. The cloud-based Army Experimentation Resource Data Repository (AERDR) was developed to address these issues. Here we present the repository framework and capabilities, representative data included in the repository, and challenges and considerations on standardizing data.
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Acknowledgments
The authors would like to acknowledge and thank the Soldiers that participated in the data collection efforts. Additionally, the authors would like to thank the team from Applied Information Solutions (AIS) and others with the Joint Data Branch that helped develop and execute the AERDR in a very short timeframe during exceptionally challenging work conditions.
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Neugebauer-Sperlein, J., Chambers, S., Bernicky, J., Pridgeon, S. (2021). The Future of Data Standards and Storage: Harnessing Data Generation into a Standardized Repository. In: Wright, J.L., Barber, D., Scataglini, S., Rajulu, S.L. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2021. Lecture Notes in Networks and Systems, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-79763-8_27
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DOI: https://doi.org/10.1007/978-3-030-79763-8_27
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Online ISBN: 978-3-030-79763-8
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