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Research Collections and Support

Libraries are increasingly leveraging the raw materials of scholarship and knowledge formation by emphasizing the creation and curation of institutional research assets and outputs, including digitized special collections, research data, and researcher profiles. Our work informs current thinking about research collections and the emerging services that libraries are offering to support contemporary modes of scholarship. We are encouraging the development of new ways for libraries to build and provide these types of collections and deliver distinctive services. Our efforts are focused in the following three areas:

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  • Ixchel M. Faniel (2)

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  • 2021 (2)

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    Using collective curation to pay data forward in the life cycle

    Using collective curation to pay data forward in the life cycle

    11 June 2021

    Ixchel M. Faniel

    Drawing from a study of archaeological excavation teams, four collective curation opportunities are proposed to identify and resolve differences in data and documentation practices that arise in team-based research. To create more integrated, well-documented data, the opportunities attend to integrating people rather than technology. The actions people take as data move through the life cycle become the focal point of change.

    Identifying Opportunities for Collective Curation during Archaeological Excavations

    Identifying Opportunities for Collective Curation during Archaeological Excavations

    6 August 2020

    Ixchel Faniel, Anne Austin, Sarah Whitcher Kansa, Eric Kansa, Jennifer Jacobs, Phoebe France

    Archaeological excavations are comprised of interdisciplinary teams that create, manage, and share data as they unearth and analyse material culture. These team-based settings are ripe for collective curation during these data lifecycle stages. However, findings from four excavation sites show that the data interdisciplinary teams create are not well integrated. Knowing this, we recommended opportunities for collective curation to improve use and reuse of the data within and outside of the team.