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Learn about archiving research data in the cloud or a local repository, best practices, tools, and considerations for long-term access, discoverability, reusability, and preservation. Explore DSpace and Fedora features, commercial vs. community cloud solutions, and key questions for choosing a hosted solution. Access helpful resources for managing research data effectively.
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Archiving research data in the cloud or in a local repository Michele Kimpton, CEO DuraSpace CNI Dec 2014
Common issues • Where can I put my data for long term access? • How do I make it discoverable, re-useable, reproducible? • What metadata, provenance and identifiers should I use? • What policies should be in place for archiving and preserving data? • How do I fund this?
Data management in DSpace • DOI support- EZID • ORCID integration • Linked open data support • Integrated with DuraCloud New features in DSpace 5.0 related to Data Management and archiving https://wiki.duraspace.org/display/DSPACE/DSpace+Release+5.0+Status
Data management in Fedora • Supports linked open data • Content modeling • Versioning • Large files • Fixity checking • External, asynchronous storage
Commercial based cloud solutions Three popular commercial solutions • Attract end users because solves immediate need without adding a ton of work to end user • Share, collaborate or meet mandate by publisher or funding agency • Little to no preservation practices in place • No stated or unstated longterm data management practices • Long term at risk reliant on investors interest and success in the market • Lack of trust and control within academic community
Benefits of networked solutions • Web based access, easy to access • Can easily replicate content via standard Internet protocols and API’s • Requires no infrastructure at local facility • Can expose content outside of institution • Can provide geographical distribution • Provides solution for those that can not afford to build locally
Questions to consider for any hosted solution • Is it open source? • Are the policies transparent? • What is the governance? • Are there policies and practices in place to “actively” preserve the data? • Is there an “exit” strategy for the user? • Are the formats open and standard? • Who has rights to the data?
Resources • RDA: https://rd-alliance.org/groups/long-tail-research-data-ig.html • POWRR:http://digitalpowrr.niu.edu/tool-grid/