Data Rescue: Packaging, Curation, Ingest, and Discovery

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Data Conservancy was introduced to Data Rescue Boulder through our long-time partner Ruth Duerr of Ronin Institute. Through our conversations, we recognized that Data Rescue Boulder has a need to process large number of rescued data sets and store them in more permanent homes. We also recognized that Data Conservancy along with Open Science Framework have the software infrastructure to support such activities and bring a selective subset of the rescued data into our own institution repository. We chose the subset of data based on a selection from one of the Johns Hopkins University faculty members.

This video shows one of the pathways through which data could be brought into a Fedora-backed institutional repository using our tools and platforms

Data Conservancy screen cast demonstrating integration between the Data Conservancy Packaging Tool, the Fedora repository, and the Open Science Framework. Resources referenced throughout the screen cast are linked below.

DC Package Tool GUI

DC Package Ingest

Fedora OSF Storage Provider

(under development as of April 2017)

Authoring Person(s) Name: 
Elliot Metsger
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 3.0 United States - CC BY 3.0 US
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Data access
Data archiving
Data preservation
Data publication
Data sharing
Data portals
Data management
Published / Broadcast: 
Friday, April 28, 2017
Friday, April 28, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Data Conservancy
Version - revision or edition number or date associated with a learning resource: 
May 2017
Contact Organization(s): 
Data Conservancy