![]() The inclusion of a web-based, batch import GUI in DSpace versions 5 and above offers repository managers an opportunity to more efficiently capitalize on batch ingest processes in support of collection development. However, given limitations on human resources, these types of collection development activity provide clear use cases for batch ingest procedures. Similar to the relationship between PubMed and PubMed Central, the default Open Access (OA) policies of many IRs further support collection development strategies focused on using the IR as a low-barrier option for meeting funder or other OA publishing requirements. In addition to serving as a full text store-house and federated discovery layer for third party indexing services to which a given domain repository may not be exposed, IRs often provide unique preservation features which justify mirroring collections or items already published by non-archival systems (see, for example, Wheeler & Benedict, 2015). Some have also turned to archival or "legacy" scholarship produced at their institutions to digitize and import into their repository (for example, see Shreeves & Teper, 2012).īatch importing can also be a means of enlarging the capability of an IR to serve as an archival complement to domain or other external repositories. Avercamp & Lee ( 2009) describe a similar process of batch ingesting ETD's using repurposed ProQuest metadata to populate their repository. ( 2014) describe the launch of Eastern Illinois' repository, The Keep, and the usefulness of batch importing documents with pre-existing metadata in order to quickly add content. (Foster & Gibbons, 2005) Thus, turning to archival collections, electronic theses and dissertations (ETDs), and other material has made it possible to populate IRs with quality scholarly content. ![]() Many IRs have been implemented with a mentality of "If you build it, they will come" yet have not seen widespread adoption. A number of researchers have written about the benefits of batch importing as a means to populate an institutional repository (IR). ![]()
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