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CAPTUREThe objective of this stage is to capture critical data from the scientific process and relate that data – in a meaningful way – to concepts or characteristics that describe the data. Visit our page on specific CERF features of greatest value in the lab >> |
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LEVERAGEIn this stage, data must be formalized into knowledge. Conclusions are formed by exploring and analyzing data along structured dimensions. If these dimensions provide insight into the data, these conclusions are formalized and stored. See more details on how CERF adds benefit specifically in the office and boardroom >> |
Key Features of CERF: |
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| Compliance | No matter how well a system performs, if your data or processes are not compliant with regulatory standards, your investment is put at great risk. Read more about compliance >> |
| Security | Once compliant, it is critical to protect your data against intentional or unintentional access, disclosure, or modification. As science is increasingly a collaborative activity, appropriate security roles and access rights must be available for internal and external users. Read more about security >> |
| Stability and Performance | Time is money. A product must be readily accessible and support your scientists with timely and correct data. |
| Mobility | Modern research proceeds faster than ever. It is increasingly important to stay connected regardless of time or location. Every organization wants its ideas recorded faster than its competitors. The ability to access your data securely on portable devices is no longer a luxury, it is a necessity. Read more about mobility >> |
| Data Longevity | Your knowledge is a critical asset and should not “expire” with every ELN technology cycle. CERF is committed to open standards so that your data are not “held ransom” by proprietary standards and inaccessible systems. Read more about data longevity >> |
| Compatibility | The system must be compatible with existing processes and technologies and usable by scientists without substantial training. For enterprise customers, low IT overhead and the ability of CERF to work with the relational database preferred by your organization is another huge advantage. Read more about compatibility >> |
| Extensibility | As technology and science evolve, the platform must easily adapt to new situations and requirements. Customizations need to be platform- or module-based to minimize the chance of incompatibility. Large customers also need a platform that they can customize in-house to ensure that their goals are not secondary to the core product roadmap. Read more about extensibility >> |
