Data Curation, SPEC Kit 354

Hudson-Vitale, Cynthia; Imker, Heidi; Johnston, Lisa R.; Carlson, Jake; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire

96 Representative Documents: Data Curation Infrastructure
UNIVERSITY OF NOTRE DAME, HESBURGH LIBRARIES
CurateND Data Curation Infrastructure

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SPEC Kit 354: Data Curation (May 2017) resources

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96 Representative Documents: Data Curation Infrastructure
UNIVERSITY OF NOTRE DAME, HESBURGH LIBRARIES
CurateND Data Curation Infrastructure

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95 SPEC Kit 354: Data Curation
UNIVERSITY OF NOTRE DAME, HESBURGH LIBRARIES
CurateND Data Curation Infrastructure
CurateND Data Curation Infrastructure
CurateND uses a Hydra-based discovery application. It uses Fedora Commons 3.x as the object
registry and metadata store and Apache Solr as an index. Using both Fedora and Solr is
common for Hydra applications. Self-deposit items go through the Hydra application. There is
also a batch ingest ability, which deposits items directly into the preservation store as well as
Fedora. Objects in Fedora contain pointers to our preservation store. The preservation store is a
custom application that puts content into BagIt bags for storage on tape; maintains a disk cache
of content; provides a URL for each preserved file; and runs fixity checks on the content. The
data is ultimately all stored on tape, with two copies kept locally and two remotely. The tape
appliance handles the replication.
Digital Librarians can deal with the batch ingest directly via a networked filesystem. Content is
staged on the filesystem, where it can also be reviewed, assessed, and described. When it is
ready, the librarian can start an ingest, which copies the data into the preservation system, the
metadata into the preservation system, and a copy of the metadata into Fedora. It then asks the
Hydra application to index the new content.

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97 SPEC Kit 354: Data Curation
SCHOLARS PORTAL
Scholars Portal Dataverse Guide
http://guides.scholarsportal.info/dataverse

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Page 1Survey Results click to expand contents

Page 63Representative Documents click to expand contents

Page 64Data Repositories click to expand contents

Page 76Data Curation Services click to expand contents

Page 94Data Curation Infrastructure click to expand contents

Page 100Data Curation Workflows click to expand contents

Page 106Data Models and Metadata Schemas click to expand contents

Page 116Data Deaccessioning Policies click to expand contents

Page 124Data Curation Job Descriptions click to expand contents

Page 131Selected Resources click to expand contents

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