Figure 1
Method and timeline of data collection and aggregation.
Figure 2
Growth in institutional repositories (IRs) and institutional data repositories (IDRs), from 2017 to 2023, reported as percentages.
Figure 3
Count of whether it was possible to identify the number of datasets in a given repository.
Figure 4
Number of datasets in institutional repositories (IRs) and institutional data repositories (IDRs) in 2023, grouped by range (excluding Harvard Dataverse).
Figure 5
The total count of datasets in institutional repositories (IRs) and institutional data repositories (IDRs), and the total overall number in 2017, 2020, and 2023.
Table 1
The number of Data Curation Network member repositories (n = 17) and degree of alignment with the characteristics described in the 2022 Desirable Characteristics Of Data Repositories For Federally Funded Research report, as assessed in October 2022. Data reported in Reiff Conell and Wright (2024).
| CHARACTERISTIC | n IN ALIGNMENT |
|---|---|
| ORGANIZATIONAL INFRASTRUCTURE | |
| Free and Easy Access | 17 yes |
| Clear Use Guidance | 14 yes; 3 partial |
| Risk Management | no data |
| Retention Policy | 12 yes; 4 partial |
| Long-term Organizational Sustainability | 12 yes; 5 partial |
| DIGITAL OBJECT MANAGEMENT | |
| Unique Persistent Identifiers | 16 yes |
| Metadata | 16 yes |
| Curation and Quality Assurance | 15 yes; 2 partial |
| Broad and Measured Reuse | 15 yes |
| Common Format | 17 yes |
| Provenance | 16 yes |
| TECHNOLOGY | |
| Authentication | 10 yes; 6 partial |
| Long-term Technical Sustainability | 15 yes; 2 partial |
| Security and Integrity | 3 yes; 9 partial |