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.
Social Interoperability in Research Support: Cross-campus Partnerships and the University Research Enterprise
20 August 2020
Rebecca Bryant, Annette Dortmund, Brian Lavoie
The report defines social interoperability and describes the network of campus units involved in major areas of university research support services. It concludes by offering recommendations for cultivating successful cross-campus relationships.
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.
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.
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.
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.
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.
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.
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.