Examples of CARE-related Activities Carried out by Repositories, in Sequences or Groups
This dataset is designed to accompany the paper submitted to Data Science Journal: O'Brien et al, "Earth Science Data Repositories: Implementing the CARE Principles". This dataset shows examples of activities that data repositories are likely to undertake as they implement the CARE principles. These examples were constructed as part of a discussion about the challenges faced by data repositories when acquiring, curating, and disseminating data and other information about Indigenous Peoples, communities, and lands. For clarity, individual repository activities were very specific. However, in practice, repository activities are not carried out singly, but are more likely to be performed in groups or in sequence. This dataset shows examples of how activities are likely to be combined in response to certain triggers. See related dataset O'Brien, M., R. Duerr, R. Taitingfong, A. Martinez, L. Vera, L. Jennings, R. Downs, E. Antognoli, T. ten Brink, N. Halmai, S.R. Carroll, D. David-Chavez, M. Hudson, and P. Buttigieg. 2024. Alignment between CARE Principles and Data Repository Activities. Environmental Data Initiative. https://doi.org/10.6073/pasta/23e699ad00f74a178031904129e78e93 (Accessed 2024-03-13), and the paper for more information about development of the activities and their categorization, raw data of relationships between specific activities and a discussion of the implementation of CARE Principles by data repositories. Data in this table are organized into groups delineated by a triggering event in the first column. For example, the first group consists of 9 rows; while the second group has 7 rows. The first row of each group contains the event that triggers the set of actions described in the last 4 columns of the spreadsheet. Within each group, the associated rows in each column are given in numerical not temporal order, since activities will likely vary widely from repository to repository. For example, the first group of rows is about what likely needs to h
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 16
- Access
- 4
- Reuse readiness
- 8
- Engagement
- 4