Sharing Begins at Home: How Continuous and Ubiquitous FAIRness Can Enhance Research Productivity and Data Reuse
Main Authors: | William P Dempsey, Ian Foster, Scott Fraser, Carl Kesselman |
---|---|
Format: | Article |
Language: | English |
Published: |
The MIT Press
2022-07-01
|
Series: | Harvard Data Science Review |
Online Access: | https://hdsr.mitpress.mit.edu/pub/qjpg8oik |
Similar Items
-
Towards a Ubiquitous User Model for Profile Sharing and Reuse
by: Neil Hernandez-Gress, et al.
Published: (2012-09-01) -
FAIR Begins at home: Implementing FAIR via the Community Data Driven Insights
by: Carlos Utrilla Guerrero, et al.
Published: (2022-10-01) -
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources
by: Maaike M. H. van Swieten, et al.
Published: (2024-03-01) -
Reproducible big data science: A case study in continuous FAIRness.
by: Ravi Madduri, et al.
Published: (2019-01-01) -
Correction: Reproducible big data science: A case study in continuous FAIRness.
by: Ravi Madduri, et al.
Published: (2023-01-01)