Data Futures freizo migration platform provides long-term accessibility and security for digital methods projects in the humanities. Its implementation-agnostic data representation is designed for efficient migration as technologies evolve over decades, and its deployment infrastructure is continuously updated in response to the evolving internet security landscape. freizo employs geographically distributed computing resources from heterogeneous commercial and institutional suppliers to gain the greatest resilience and cost advantages from the competitive contemporary services market, offering:
This creates new stability and sustainability opportunities for research data. By sharing costs of i) migration to overcome successive technology obsolescence and ii) continual infrastructure maintenance for reliability and security among many projects freizo unlocks significant (and for the first time forecast-able over long periods) operational cost benefits for participating organizations and also eliminates serial vulnerability as key personnel move on to new positions and departments reorganize.
Projects with existing, mature workflows generally support active research communities for multiple years using Data Futures standard flat-rate services alone. If, on start-up, or from time to time they have evolving acquisition, functionality or export needs then Data Futures contract development service rates may additionally apply. Examples include reclaiming assets from legacy systems, supporting third-party internet presentations, connecting with virtual research instruments or creating versions of corpora compliant with specific standards or compatible with external ecosystems. These are typically work-package-based activities with prior agreement about specification and estimation of timescales and costs. Such services are usually required infrequently and projects subsequently return to long term operation on a flat-rate cost basis. Alternately, projects may have short-term strategies of acquisition, restructuring and export to non-freizo platforms, using Data Futures services on a development cost basis to achieve their goals without any sustaining requirements of flat-rate Services.
Within this general framework, the Data Futures cost model can be summarized as follows: