Secure long-term preservation for research and teaching
Scientists working in research and teaching need to preserve all of their data for the long term, be it medical lab data or terabytes of measuring or multimedia data. After all, scientific research often produces huge amounts of critical data which is accumulated over the course of years. It offers unique opportunities for future scientific studies, often long after the current experiments are over. These may arise, for example, from new theoretical discoveries or innovative analytical techniques.
In particular, scientists need to take compliance requirements into account for long-term preservation of research data. Data sets arising from research and teaching are often unique and cannot be replaced with data from newer experiments. In other words, if they are lost, they can never be recovered.
In fact, data loss is the worst-case scenario for researchers, who – among other things – need to make their data available to other researchers. In order to ensure that data sets are not lost and remain available for long periods of time, an intelligent approach to long-term preservation is advisable. The costs of long-term storage for such data sets are typically small compared with the effort involved in the original research or in repeating it. Nevertheless, it is impossible to ignore the costs of storage.
A carefully thought-out archiving solution which reliably archives data over the course of decades can meet all of these requirements.
Meeting requirements with long-term preservation
In order to meet archiving requirements for long-term preservation of research data, the best approach is to use Information Lifecycle Management (ILM) within a multi-tier storage architecture. A combination of hierarchical storage management (HSM) and ILM is particularly efficient: Managers can save data to various different storage tiers based on personalized, expandable rules relating to the data’s life cycle status in order to archive it for long periods of time. Ideally, they will use a range of different storage systems to achieve this.
With this approach, managers also optimize their infrastructure, as they can make the best possible use of their storage systems, freeing up performance and capacity on the primary storage system. For hybrid storage infrastructures or on- and off-premises solutions, cloud integration also enables full scalability.
The ideal result is for the HSM storage architecture to integrate itself seamlessly into the research organization’s existing infrastructure and to ensure reliable, fast access to data.
“Well-known research institutes** already use our software for long-term preservation. As experts in reliable archiving software, we optimize how unstructured data is stored,” says Thomas Thalmann, CEO at PoINT Software & Systems GmbH.
Long-term preservation with PoINT software
The PoINT Storage Manager software was developed by PoINT for long-term preservation. It automatically moves data around within a multi-tier storage architecture based on customized rules. Its tried and tested stubbing technique means that researchers’ workflow remains unchanged and ensures transparent read access without having to move data back and forth unnecessarily. Write protection and data security are guaranteed thanks to WORM functionality and retention management.
Since the PoINT Storage Manager works with all modern storage systems and technologies, researchers can choose the storage system that works best for them. In addition, the PoINT Storage Manager makes it possible to migrate archive storage to a new system with no disruption to existing processes. Combined with flash, hard drive, (private) cloud, tape and optical storage systems, PoINT’s software creates exactly the kind of cost-effective archiving platform that researchers and teachers need.
The solution for big data storage:
Need to manage petabytes of data? Our PoINT Archival Gateway software will help. It's capable of writing more than a petabyte of data per day.