Data Sustainability and Reuse Pathways of Natural Resources and Environmental Scientists

@article{Shen2018DataSA,
  title={Data Sustainability and Reuse Pathways of Natural Resources and Environmental Scientists},
  author={Yi Shen},
  journal={New Review of Academic Librarianship},
  year={2018},
  volume={24},
  pages={136 - 156}
}
  • Yi Shen
  • Published 5 March 2018
  • Sociology
  • New Review of Academic Librarianship
ABSTRACT This article presents a multifarious examination of natural resources and environmental scientists' adventures navigating the policy change toward open access and cultural shift in data management, sharing, and reuse. Situated in the institutional context of Virginia Tech, a focus group and multiple individual interviews were conducted exploring the domain scientists' all-around experiences, performances, and perspectives on their collection, adoption, integration, preservation, and… 
2 Citations
Reading the fine print: A review and analysis of business journals’ data sharing policies
TLDR
Evidence is provided that business researchers have opportunities to share their research data, and with the right data management support, business librarians can play a significant role in improving the data sharing behaviors of business researchers.

References

SHOWING 1-10 OF 48 REFERENCES
Data sharing practices, information exchange behaviors, and knowledge discovery dynamics: a study of natural resources and environmental scientists
  • Yi Shen
  • Psychology
    Environmental Systems Research
  • 2017
BackgroundThis paper presents a deep-dive examination of the cross-boundary data practices of natural resources and environmental scientists in the context of Virginia Tech’s institutional visioning
Research Data Sharing and Reuse Practices of Academic Faculty Researchers: A Study of the Virginia Tech Data Landscape
TLDR
A significant gap is revealed between the rather limited sharing activities and the highly perceived reuse or repurpose values regarding data, indicating that potential values of data for future research are lost right after the original work is done.
Strategic Planning for a Data-Driven, Shared-Access Research Enterprise: Virginia Tech Research Data Assessment and Landscape Study
  • Yi Shen
  • Computer Science
    Coll. Res. Libr.
  • 2016
TLDR
A significant gap is revealed between the rather localized and sporadic data management and sharing activities and the highly perceived reuse values of data that often get lost right after the original work is done.
Burgeoning Data Repository Systems, Characteristics, and Development Strategies: Insights of Natural Resources and Environmental Scientists
  • Yi Shen
  • Computer Science
    Data Inf. Manag.
  • 2017
TLDR
This study addresses how scientists working in the fields of natural resources and environmental sciences navigate these diverse data sources, and proposes a top–down, novel approach to the processes of searching, browsing, and visualizing for the dynamic exploration of environmental data.
Dealing with Data: Science Librarians' Participation in Data Management at Association of Research Libraries Institutions
TLDR
This study investigates science librarians’ awareness of and involvement in institutional repositories, data repositories, and data management support services at their institutions, and explores the roles and responsibilities, both new and traditional, that science librarian have assumed related to data management.
Site-Based Data Curation at Yellowstone National Park
Research questions examining inter-institutional dynamics:  What principles should underpin policies and processes of site-based curation, from various stakeholder perspectives?  What repository
Little science confronts the data deluge: habitat ecology, embedded sensor networks, and digital libraries
TLDR
Studies of this field in transition offer insights into the role of digital libraries in e-Science, how data practices evolve as science becomes more instrumented, and how scientists, computer scientists, and engineers collaborate around data.
Distributed heterogeneous forest resource data management and service architecture research
TLDR
The distributed hierarchical architecture of forest resource data management enables a multi‐perspective view of data and service displays, automatic data and Service matches, and on‐demand data services and meets the special application system requirements of digital forestry platforms.
Physical samples and digital libraries
TLDR
The goal of this workshop is to attract a broad audience comprising of earth scientists and other scientists working with physical samples, data curators, and computer and information scientists to learn from each other about the requirements of physical as well as digital sample and collection management.
...
...