Temporal Context
Collection dates, time ranges, temporal coverage
Justification
Temporal metadata enables time-based filtering and contextual understanding of when data was collected, which is essential for reproducibility and relevance assessment. DataCite lists Date as Recommended with rich sub-types (Created, Collected, Submitted). schema.org includes temporalCoverage using ISO 8601 format. Dublin Core’s Date and Coverage elements both address temporal context.
Practical Guide
Add dates if applicable. Critical for time-series data.
Temporal metadata (collection dates, time ranges) lets users filter datasets by when data was collected — essential for assessing relevance and reproducibility. The very low citation ratio (0.03x) reflects that time-tagged datasets tend to be in specialized, low-citation domains. The signal measures metadata completeness, not citation potential.
Why this signal matters despite the numbers
The 0.03x citation ratio is one of the lowest, but temporal metadata is essential for reproducibility. Time-series datasets serve small, specialized communities. Dates help users assess whether data is still relevant — a value citations can't measure.
For Repositories
- Add optional date fields for collection period (start/end)
- Support ISO 8601 date format
- Map to DataCite #8 Date or schema.org temporalCoverage
For Depositors
- Include collection dates or time ranges if your data is time-bound
- Use ISO 8601 format (YYYY-MM-DD) for machine readability
- Specify whether dates represent collection, creation, or coverage period
Broadly useful for reproducibility context. Low prevalence (6.1%) means repositories can differentiate by supporting it.
Standards Sources
Convergence score: 4/4 independent sources —
| Standard | Field / Property | Obligation Level |
|---|---|---|
| DataCite 4.6 | #8 Date | Recommended |
| schema.org | temporalCoverage | Recommended |
| Dublin Core | Date / Coverage (temporal) | Core Element |
FAIR Principle Alignment
Primary mapping: Findable (F2)
- F2: Data are described with rich metadata
RDA FAIR Data Maturity Model Indicators:
- RDA-F2-01M: Rich metadata is provided to allow discovery
How This Signal Is Measured
Presence of ISO 8601 formatted dates, date ranges, or temporal coverage descriptions. Binary: present or absent.
Empirical Evidence (Zenodo, n=1.3M)
Per-signal statistics use Zenodo as the primary validation source because it is the largest general-purpose repository with structured DataCite metadata, natural variance across all 25 signals, and available citation/usage data. Domain-specific repositories exhibit ceiling effects or restricted variance that preclude per-signal discrimination. Cross-repository validation is reported separately.
Prevalence
6.1%
of Zenodo datasets
Citation Lift
~0x
vs. datasets without
Data Source
Zenodo (CERN)
1,328,100 records analyzed
Interpretation: Temporal metadata correlates with time-series datasets in niche domains. These serve smaller research communities. Temporal context is essential for reproducibility regardless of citation impact.
Quantitative Evidence
Scoring Formula
temporal_metadata ∈ record → 4 pts
Contribution: 4 of 100 points · Stewardship bucket (0–20)
With Signal Present
80,447
datasets (6.1%)
μ = 0.008 citations/dataset
Without Signal
1,247,653
datasets (93.9%)
μ = 0.259 citations/dataset
Rate Ratio
0.03
95% CI: [0.03–0.03]
P-value
< 0.001
z = -88.13
Significance
Method: Poisson rate ratio · Source: Zenodo (n = 1,328,100)
S — Stewardship Bucket
All signals in this bucket: