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titleHow much staff time is required to set up and initially configure resource sharing with each model?

UNDER CONSTRUCTION

This is a draft of our response. Please come back soon for an updated version.

P2P

It is relatively simple to apply Alma configuration changes in support of a P2P model. Each participating institution will be provided with a brief set of instructions for making any necessary changes in Alma. It is expected this process will take one staff member with Alma training no more than a day.

It may take additional time for individual institutions to update internal ILL practices if local workflows need to be changed as a result of Alma. The P2P model is similar enough to current ILL practices that the RSWG does not anticipate a major time commitment for updating local workflows.

Fulfillment Network

The Fulfillment Network configuration settings are more complicated and will take more time for staff members to apply in Alma. It will also take additional time to prepare local training documentation and ready front-line staff for resource sharing in a Fulfillment Network.

Due to the complexities of a Fulfillment Network, it is expected that the implementation of resource sharing in Alma will be delayed by two to three months if the colleges opt for a Fulfillment Network model.

Big Decisions

It will likely take time for the colleges to agree on key decisions such as shipping fees, lending policies and fees/fines. It is difficult to determine exactly how much individual staff time will be required to make these decisions. This time will be needed regardless of the resource sharing model selected.

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titleAre there architectural diagrams of how data is transferred via a fulfillment model?

UNDER CONSTRUCTION

This is a draft of our response. Please come back soon for an updated version.

More architectural diagrams of how data is transferred via a resource sharing network are being gathered. Please see the Data Privacy & Security Details page for details on the transfer of patron data in a Fulfillment Network model.

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