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  • Research Data Management (24)

    Context from the Data Reuser’s Point of View

    26 September 2019

    Ixchel M. Faniel, Rebecca D. Frank, Elizabeth Yakel

    Context is critical for data reuse, and digital curation should include both context and content preservation. Both data producers and curators benefit from expanding context categories to better determine what information is vital to capture and manage during data collection to support data reuse.

    Exposing Standardization and Consistency Issues in Repository Metadata Requirements for Data Deposition

    1 September 2019

    Jihyun Kim, Elizabeth Yakel, Ixchel M. Faniel

    In this article in College & Research Libraries Journal, the authors examine common and unique metadata requirements and their levels of descrip­tion, determined by the data deposit forms of 20 repositories in three disciplines—archaeology, quantitative social science, and zoology.  

    Virtuous and Vicious Circles in the Data Life-cycle

    2 June 2019

    Elizabeth Yakel, Ixchel M. Faniel, Zachary J. Maiorana

    A data life cycle model illustrates how factors in one data life cycle phase impacts other phases, forming virtuous (positive) and vicious (negative) circles. This method comprehensively studies how data producers, sharers, curators, and reusers can better collaborate across data life cycle phases.

    Editorial: Archaeology and Information Research

    1 June 2019

    Isto Huvila, Marija Dalbello, Costis Dallas, Ixchel M. Faniel, Michael Olsson

    This editorial provides an overview of an issue of Information Research that studies the interdisciplinary nexus of archaeology and information research. This includes shared methods of data sharing, management, and curation; archaeological sites as information structures; media archaeology; and archaeological concepts in archival ethnography.

    Vers un changement de cap : les bibliothèques, expertes en métadonnées au service de la recherche

    11 July 2018

    Rebecca Bryant, Brian Lavoie, Contance Malpas

    This excerpt of the OCLC Research Report, The Realities of Research Data Management—published in the French journal Archimag—examines the categories of incentives that inspired four research universities to acquire RDM capacity: compliance, evolving scholarly norms, institutional strategy, and research demand.

    Beyond the Archive: Bridging Data Creation and Reuse in Archaeology

    3 May 2018

    Ixchel Faniel, Anne Austin, Eric Kansa, Sarah Whitcher Kansa, Phoebe France, Jennifer Jacobs, Ran Boytner, and Elizabeth Yakel

    The Secret Life of Data (SLO-data) project traces the lifecycle of data in archaeology to make recommendations to improve data management and better align data creation and reuse. It proposes a “slow data” approach to emphasize curation, contextualization, and communication to streamline data collection for reuse.

     

    The Realities of Research Data Management Part Four: Sourcing and Scaling University RDM Services

    26 April 2018

    Rebecca Bryant, Brian Lavoie, Constance Malpas

    This report series explores how research universities are managing research data throughout the research lifecycle. This fourth report in this series examines the sourcing and scaling choices made by four research universities in their acquisition of research data management (RDM) capacity.

    Librarians' Perspectives on the Factors Influencing Research Data Management Programs

    9 January 2018

    Ixchel Faniel, Lynn Silipigni Connaway

    This study contextualizes librarians’ roles in campus research data management (RDM) programs at US academic libraries through their RDM experiences supporting research needs. Interviews with academic librarians surfaced five factors of influence that facilitate or constrain academic library RDM activity.

    The Realities of Research Data Management Part Three: Incentives for Building University RDM Services

    4 January 2018

    Rebecca Bryant, Brian Lavoie, Constance Malpas

    The Realities of Research Data Management series explores the research data management (RDM) capacity acquisition incentives motivating research universities. The third report creates four categories of RDM capacity incentives: compliance, evolving scholarly norms, institutional strategy, and researcher demand.

    The Realities of Research Data Management Part Two: Scoping the University RDM Service Bundle

    28 September 2017

    Rebecca Bryant, Brian Lavoie, Constance Malpas