*Apologies for cross-posting*



Thank you to everyone who has already participated in this survey which is
exploring the use, *or not*, of economic models in making decisions about
storing records in the cloud. We have received nearly 100 replies and a
very positive response to follow-up interviews which will enable us to
create case examples illustrating the role of such models in the
decision-making process. We would like to gain more than 100 replies from
as wide a range of organisations worldwide as possible that are, or have,
considered using the cloud for storing records and have or have not used
economic models during the decision-making process.



So if you have not yet had the chance to participate the deadline has been
extended to the leap year day of *Monday 29 February*. The questions are
quick to complete (mostly multiple choice) and participants have on average
taken 11 minutes to complete it. You are not asked for organisational or
personal identifiers unless you are willing to take part in a short
follow-up interview to provide a case example.



Survey link:
https://survey.ubc.ca/surveys/37-777ce1518b6e37991d46f81fd01/cloud-services-for-records-storage/



The results will be made freely available later this year and will enable
organisations to learn what economic models are being used to determine the
cost of using cloud services for records storage as well as how and why
they are used.



Please do pass the link to your contacts who can help us to understand how
economic models are used in cloud storage decision-making by our profession.



The research is part of the InterPARES (International Research on Permanent
Authentic Records in Electronic Systems) Trust project exploring issues
concerning digital records and data entrusted to the Internet (
https://interparestrust.org/).



Thank you in advance for giving us your time.



Dr Julie McLeod, Professor in Records Management, Northumbria University,
UK ([log in to unmask])

Ms Brianna Gormly, University of British Columbia, Canada (
[log in to unmask])

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