Considering the Implementation of a Centralized Data Management System
Cost - Justify Your Investment in a Centralized Data Management System
Resisting the pressure to implement low-cost, short-term solutions is essential when it comes to upgrading data management infrastructure. A modern cloud-based platform can integrate many information flows including experimental details and results, project management workflow, biological and chemical inventory. And not just within your own company, with collaborators too. So, begin from a different viewpoint, with a vision of what day-to-day operation might look like with such systems in place. This will highlight the costs of current inefficiencies.
For example, that experiment that was conducted 6 months ago – do you know who instigated it and why? What the results were and whether there was any follow up on that odd datapoint? If that information has been lost, then so has the cost of that work. Alternatively, consider your email exchanges with CRO partners. What happens to those emails? If there are technical discussions, are they separately captured? Or do you find yourself searching back to interpret spreadsheet results? Think carefully about where time and information are routinely lost to develop a realistic view of what the payback might be, with the right system.
Set this potential for savings against the total cost of ownership of a new centralized data management system, not just the initial investment. Does a candidate solution:
- Need dedicated hardware
- Come with service support
- Include regular upgrades and training
- Offer scalability – is it easy to expand and add capabilities as you grow or change?
Most of all consider data security and project implementation time since problems in either of these areas can result in economic penalties that dwarf all others.
Security - Data Integrity Within a Regulated Environment
For those working in the heavily regulated pharmaceutical/healthcare industries, easy access naturally brings concerns around data integrity, data security, and regulatory control. Those leading the way in cloud-based centralized data management have addressed these issues. Look for systems that:
- Address data security protections at the field rather than the record level to provide an extra layer of confidence in collaborative projects
- Allow users to run proprietary algorithms while still interfacing with the cloud solution
- Offer the flexibility to, for example, create new forms using in-house tools
- Enable the supplementary layering of third-party platforms to manage regulatory compliance
Such features help users to separate the regulatory elements of data management from the technological aspects of data collection, storage, interrogation, and analysis and ensure that data security standards meet company requirements.
Time - Minimize Disruption, Maintain Productivity
Standard deployments of a cloud-based management system can take up to nine months, but it doesn’t need to take this long. Deployment of our system is usually complete within days indeed it is often referred to as Instant ELN (Electronic Laboratory Notebook).
Transition periods are disruptive and hard to manage, especially if implementation calls for additional headcount. A longer project means:
- A significant period of ongoing change and low productivity for your staff
- Increased risk of errors
- More time and energy sapped by non-core activity
Implementing a new centralized data management system isn’t like starting over. All your old data should be migrated seamlessly, and you should expect an efficient, functioning solution that starts delivering a return from the ‘get go’. A company with a track record of delivering to these standards is a reassuring place to start your search.
Find out more about cloud-based solutions that are flexible, futureproof, easy-to-implement and economically accessible and begin your transition to a smarter data management solution that matches your company’s long-term aspirations.
Arxspan is a Division of Bruker.
