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The Craft of Database Curation: Taking Cues from Quiltmaking

dc.contributor.authorRayburn, Alexandria
dc.contributor.authorThomer, Andrea K.
dc.date.accessioned2022-04-22T17:58:06Z
dc.date.available2022-04-22T17:58:06Z
dc.date.issued2022
dc.identifier.citationRayburn, A. & Thomer, A. K. (2022). The Craft of Database Curation: Taking Cues from Quiltmaking. [Poster presentation]. iConference (Virtual).en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/172209en
dc.description.abstractData migration within library, archive and museum collections is a critical process to maintaining collection data and ensuring its availability for future users. This work is also an under supported component of digital curation. In this poster we present the findings from 20 semi-structured interviews with archivists, collection managers and curators who have recently completed a data migration. One of our main findings is the similarities between craft work and migration practices in memory institutions. To demonstrate these similarities, we use quiltmaking as as a framework. These similarities include the practice of piecing multiple systems together to complete a workflow, relying on community collaboration, and inter-generational labor. Our hope is that by highlighting the craftful qualities already embedded in this work we can show alternative best practices to data migration and database management. This is in an effort to get a broader understanding of what a successful data migration can look like.en_US
dc.description.sponsorshipSupported by Institute of Museum and Library Services, Grant # RE-07-18-0118-18.en_US
dc.language.isoen_USen_US
dc.subjectdata curationen_US
dc.subjectdatabase curationen_US
dc.subjectcraften_US
dc.subjectlibraries, museums and archivesen_US
dc.titleThe Craft of Database Curation: Taking Cues from Quiltmakingen_US
dc.typePosteren_US
dc.subject.hlbsecondlevelInformation Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Informationen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172209/1/iConf_2022_poster_Rayburn_Thomer.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172209/2/iConf_2022_abstract_Rayburn_Thomer.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/4358
dc.identifier.sourceiConferenceen_US
dc.identifier.orcid0000-0001-6238-3498en_US
dc.description.filedescriptionDescription of iConf_2022_poster_Rayburn_Thomer.pdf : Poster
dc.description.filedescriptionDescription of iConf_2022_abstract_Rayburn_Thomer.pdf : Extended abstract
dc.description.depositorSELFen_US
dc.identifier.name-orcidThomer, Andrea; 0000-0001-6238-3498en_US
dc.working.doi10.7302/4358en_US
dc.owningcollnameInformation, School of (SI)


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