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Methods, tools, and workflows for discovering, linking, and preserving open access scholarship and research are critical infrastructure for open repositories. With many distributed aggregators of scholarship and research in the University ecosystem, such as Unpaywall, PURE, ETD's, and others, discovery of this content is not difficult. What is more of a challenge are the local workflows required to integrate these resources into the repository infrastructure. To address this need, the Penn State University Libraries developed a human curated and automation pipeline to discover, claim, and link distributed scholarship. Processes were then created to ingest and preserve these assets within our institutional repository. As a case study for this process, we will be discussing our approach to integrating metadata and open access articles into our repository and linking the articles to distributed data and other related resources.
open access, Automation, populating an institutional repository, human curation
open access, Automation, populating an institutional repository, human curation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 | |
| downloads | 2 |

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