Scientific Data Management
With a granular and scalable approach to data governance, Splashlake enables organizations to consider their approach to scientific data management from the outset, aligning with organizational cloud and operational strategies. Truly reliable, actionable data is dependent on solid scientific data management approaches and frameworks that outline how it is collected, stored, processed, managed and shared throughout its lifecycle.
The Splashlake solution is based on deep understanding of scientific data management, including security, quality and integrity requirements, whilst also being considerate of the value of collaboration and the need to access data anywhere, at any time. Spashlake’s rich feature set addresses various organizational and scientific challenges, avoiding use of multiple point solutions which add cost and complexity to the lab software ecosystem.
Cataloging
Splashlake provides a structured, searchable inventory that organizes and describes datasets with rich metadata, making data easy to find, access, understand, and reuse across scientific workflows.
Audit Trails
Any data updates or edits are logged in Splashlake to ensure a clear record of the who, what, why and when of your data story. Complete data provenance is key to demonstrating organizational compliance.
Visualization
Splashlake presents data from a wealth of techniques in a way that is both meaningful and actionable. Data standards enable key points to be highlighted and displayed, and easily compared with other results or data types.
Archival
Splashlake enables future-proofed long term archival of your data sets to support compliance. Reading and war rooms enable review of historic data and facilitate industry and regulatory audits.
Governance
Splashlake's unique approach to metadata tagging empowers users with exceptionally granular data control. Authorized users can quickly enable various levels of data access based on any available entity.