# Data management
<a name="data-management"></a>


|  LSPERF09: What processes do you have in place to select and implement multi-purpose data stores for clinical and research data management?  | 
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 Implementation processes and criteria for specialized data stores that effectively manage both structured clinical data and unstructured research information while maintaining performance optimization and regulatory requirements. 


|  LSPERF10: What strategies do you employ for caching frequently accessed clinical reference data?  | 
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 Methodologies for implementing effective data caching systems optimizing access to the frequently used clinical reference data. 


|  LSPERF11: How will you balance high-performance data access with cost-efficient storage in your data tiering and lifecycle policies?  | 
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 Strategies for balancing performance and cost through optimized data tiering and lifecycle policies across active and archival datasets. 

**Topics**
+ [LSPERF09-BP01 Evaluate data stores based on regulatory requirements and data governance capabilities](lsperf09-bp01.md)
+ [LSPERF09-BP02 Optimize query performance and meet diverse data access requirements in your environment](lsperf09-bp02.md)
+ [LSPERF10-BP01 Implement tiered caching architecture with clinical data classification and lifecycle management](lsperf10-bp01.md)
+ [LSPERF10-BP02 Establish intelligent cache warming and preloading based on clinical workflow patterns and seasonal variations](lsperf10-bp02.md)
+ [LSPERF11-BP01 Optimize large dataset storage based on project phases and collaboration needs](lsperf11-bp01.md)
+ [LSPERF11-BP02 Monitor data usage patterns and automatically adjust storage tiers for cost optimization](lsperf11-bp02.md)