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Meeting assets for Data Curation & Publication Office Hours T/Th are ready!
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Meeting summary </p>
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<h2 id="quick-recap" style="font-size:16px;line-height:24px">Quick recap</h2>
<p style="font-size:14px;line-height:20px">The meeting focused on discussing a multi-site research project involving robotics in hospitals and elderly care, with extensive coverage of data security protocols, IRB approval requirements, and access control mechanisms for managing clinical data across different sites. The discussion detailed technical implementations including Unix group permissions, SFTP data transfers, and database integration for managing MRI and clinical data, while addressing challenges around user access and record-keeping for complex robotic experiments. The conversation concluded with considerations for implementing secure systems for social scientists to access data, including discussions about virtual machines, authentication processes, and the role of students in data management.</p>
<h2 id="next-steps" style="font-size:16px;line-height:24px">Next steps</h2>
<p style="font-size:14px;line-height:20px">Next steps were not generated due to insufficient transcript.</p>
<h2 id="summary" style="font-size:16px;line-height:24px">Summary</h2>
<h3 id="robotic-healthcare-data-security-protocol" style="font-size:14px;line-height:20px">Robotic Healthcare Data Security Protocol</h3>
<p style="font-size:14px;line-height:20px">Maria and Joshua discussed the multi-site research project involving robotics in hospitals, rehabilitation facilities, and elderly care, emphasizing the importance of secure data transfer and IRB approval. Joshua explained that a group of lawyers drafted agreements for IRB approval, detailing data sharing rules across sites, and outlined the certification process for accessing data, which includes human subjects and HIPAA-specific training.</p>
<h3 id="tac-data-security-access-management" style="font-size:14px;line-height:20px">TAC Data Security Access Management</h3>
<p style="font-size:14px;line-height:20px">Joshua explained the data security plan for TAC users, which involves isolating data access for different clinical sites and managing permissions through Unix groups. He described how each group gets an allocation in TAS with its own Linux group, allowing controlled access to specific data subsets. Joshua also mentioned that some consortium members can see all data, while others can only access a subset, and explained the technical challenges of managing multiple group permissions in a Unix file system.</p>
<h3 id="group-management-and-access-control" style="font-size:14px;line-height:20px">Group Management and Access Control</h3>
<p style="font-size:14px;line-height:20px">Joshua and Maria discussed challenges with group management and access control for researchers. Joshua explained that researchers typically belong to 2-3 groups, but more complex permission models could lead to more groups and user overlap. They considered access control lists as an alternative to groups, but Maria expressed concerns about managing ACLs due to the constant influx of new students among the 39 researchers.</p>
<h3 id="data-access-and-vm-management" style="font-size:14px;line-height:20px">Data Access and VM Management</h3>
<p style="font-size:14px;line-height:20px">Maria and Joshua discussed data access management for multiple sites, with Joshua recommending group-based access as preferred by NSO, unless very granular permissions are needed. Maria raised questions about record-keeping and VM access for multiple studies within a single site, expressing uncertainty about whether 20 sites would require 20 separate VMs.</p>
<h3 id="data-access-and-management-infrastructure" style="font-size:14px;line-height:20px">Data Access and Management Infrastructure</h3>
<p style="font-size:14px;line-height:20px">Joshua explained the data access infrastructure, noting that most sites upload MRI data via SFTP to Corral Secure, with REDCap used for clinical data capture and maintained by Johns Hopkins. He clarified that access to Corral Secure is managed through protected data nodes, with specific access controls for different systems and users. Maria inquired about record-keeping for complex robotic experiments, suggesting the need for a structured system to manage and document data trajectories, which Joshua acknowledged as an important consideration for future implementation.</p>
<h3 id="vbr-database-integration-and-monitoring" style="font-size:14px;line-height:20px">VBR Database Integration and Monitoring</h3>
<p style="font-size:14px;line-height:20px">Joshua explained the monitoring mechanisms for tracking file uploads and processing, including reports in the A2CPS portal and a Confluence integration for the team. He described the Virtual Biospecimen Repository (VBR), a Postgres database that integrates data from multiple sources, including REDCap, and automatically updates when changes are made to relevant instruments. Joshua mentioned plans to move processed files into the VBR database to streamline operations, and he clarified that the database is primarily used to determine which samples will receive further analysis, ensuring balanced representation across sites, ages, and genders to avoid batch effects.</p>
<h3 id="data-model-development-and-automation" style="font-size:14px;line-height:20px">Data Model Development and Automation</h3>
<p style="font-size:14px;line-height:20px">Joshua explained that he had made significant improvements and automation to streamline his work, though the initial process was overwhelming. He mentioned that Matt received assistance from Pat and Niall's group in developing the data model, which involved defining tables and linkages in the database to future-proof it for various queries. Maria inquired about the concept of a data model, which Joshua clarified as a database design, and they briefly discussed the potential use of a graph database versus Postgres, considering Tapis's service integration and authentication features.</p>
<h3 id="secure-data-access-system-implementation" style="font-size:14px;line-height:20px">Secure Data Access System Implementation</h3>
<p style="font-size:14px;line-height:20px">Maria and Joshua discussed implementing a secure system for social scientists to access and query data from graph databases and public repositories. They explored the use of Kubernetes clusters, containerized applications, and a chatbot interface, with Joshua suggesting that hosting a self-managed model like Samanova would be more suitable than using ChatGPT. They also emphasized the importance of multi-factor authentication and a user-friendly graphical interface for users who are not technically savvy.</p>
<h3 id="data-management-and-infrastructure-planning" style="font-size:14px;line-height:20px">Data Management and Infrastructure Planning</h3>
<p style="font-size:14px;line-height:20px">Maria and Joshua discussed the management of data and infrastructure for a project involving interviews and various data types, including audio and video. Joshua suggested using a dedicated virtual machine (VM) for hosting data and explained the need for authentication and multi-factor authentication (MFA) processes. He recommended using pods for flexibility and integration with Tavis authentication. Maria expressed her role as a data curator, focusing on publication rather than management, and mentioned the involvement of PhD students in managing the data. Joshua noted that NSO typically prefers dedicated staff for infrastructure management but suggested a setup similar to Redcap, where a team outside of TAC manages the software. They discussed the potential challenges of involving students in managing protected data and agreed to explore how this would work in practice.</p>
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