5 control fields reduce ambiguity: source, identifier, period, unit, and verification date.
10 sources reviewed
Verified July 16, 2026
5 control fields reduce ambiguity: source, identifier, period, unit, and verification date. The five field control is a practical method for keeping public data attached to its meaning.
The inventory uses public agency pages and preserves the meaning of each measure. Landman Business treats every number as a dated observation, not as a promise about a project, market, or staffing result.
Land Administration Data 2026: Key findings
What the primary measure means
A controlled land file separates source facts from internal status and interpretation. Stable identifiers, legal descriptions, jurisdiction, record dates, parties, source URLs, and verification dates are core fields across many workflows.
How records can be compared
Field definitions and allowed values should be documented before import. Blank, unknown, not applicable, and not yet verified are different states and should never collapse into one empty cell.
Decision boundary
Controls make administrative work reproducible, but they do not make the dataset a title opinion. Decision fields should identify the authorized reviewer and supporting record.
Data fields to capture
- Source and stable record identifier
- Covered period and measurement unit
- Verification date and reviewer note
Also retain publisher, source URL, stable record identifier, covered period, access date, and revision status. Store interpretation in a separate notes field so the source observation remains unchanged.
Interpretation limits
- A copied value without a unit is incomplete.
- A source name without a URL is hard to audit.
- Verification dates must reflect a real check.
Controls make administrative work reproducible, but they do not make the dataset a title opinion. Decision fields should identify the authorized reviewer and supporting record.
Review questions
A reproducible review of Land Administration Data 2026: 5 Control Fields should answer these questions before a value enters a client work file:
- Which public authority defines Source and stable record identifier, and does the saved page state the same covered period as the copied value?
- Can Covered period and measurement unit be traced to a stable record, table, or download rather than an unlabeled search result?
- Does Verification date and reviewer note use the same unit, geography, event status, and revision stage as the proposed comparison?
- Is the observation being used only for the administrative purpose that the source supports?
- Are every missing field, definition conflict, and unavailable primary record visible in the exception log?
Answering no to one of these questions does not justify filling the gap. It identifies a verification task or a decision that belongs with the authorized client reviewer.
Data sources and methodology
This article reviewed 10 named public sources on July 16, 2026. The method identifies the primary publisher, records what each page covers, and avoids combining measures until period, unit, and geography agree.
| Source |
What it contributes |
Verification |
| U.S. EIA, Open Data |
Machine readable series metadata and revision access |
Accessed July 16, 2026 |
| U.S. EIA, Petroleum Data |
Petroleum production, supply, stocks, and price series |
Accessed July 16, 2026 |
| Bureau of Land Management, Oil and Gas Statistics |
Federal onshore lease, permit, well, and acreage tables |
Accessed July 16, 2026 |
| Bureau of Land Management, Mineral and Land Records System |
Current federal land and mineral case record access |
Accessed July 16, 2026 |
| Office of Natural Resources Revenue, Natural Resources Revenue Data |
Federal production, revenue, and disbursement datasets |
Accessed July 16, 2026 |
| PHMSA, Pipeline Data and Statistics |
Pipeline data products, scope notes, and reporting definitions |
Accessed July 16, 2026 |
| U.S. Census Bureau, County Business Patterns Methodology |
Definitions, suppression, geography, and annual processing methods |
Accessed July 16, 2026 |
| Bureau of Labor Statistics, Quarterly Census of Employment and Wages |
County and industry employment and establishment data |
Accessed July 16, 2026 |
| Railroad Commission of Texas, Oil and Gas Research and Statistics |
Texas drilling, completion, production, and well records |
Accessed July 16, 2026 |
| New Mexico Oil Conservation Division, OCD Data |
New Mexico well, production, imaging, and spatial data access |
Accessed July 16, 2026 |
The inventory does not estimate missing values. A blank, suppressed cell, unavailable county index, or unpublished period remains unresolved until a primary record supports it.
Practical research workflow
- Define each field, owner, format, and allowed value.
- Preserve source identifiers and original text alongside normalized values.
- Validate required fields before accepting an import.
- Record exceptions without inventing replacement values.
- Require reviewer identity and evidence for decision status changes.
The final file should let another researcher locate the same source, understand the selected definition, and see every unresolved exception without relying on an undocumented assumption.
Frequently asked questions
Why use multiple official sources?
The sources expose identifiers, units, periods, geography, status, and revision notes in different formats. Those differences are why a shared control field must preserve the source meaning.
Does this inventory replace title review?
No. Public statistical and regulatory sources provide context, while parcel and title conclusions require the controlling records for the jurisdiction.
How often should the page be checked?
Check the source on its stated release schedule and verify the article at least annually. Update the verification date only after opening the source and reviewing the affected statement.
Conclusion
The five field control is a practical method for keeping public data attached to its meaning. Use the source table as a starting point, then preserve the primary record behind every case level conclusion.
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Sources
- U.S. EIA, Open Data
- U.S. EIA, Petroleum Data
- Bureau of Land Management, Oil and Gas Statistics
- Bureau of Land Management, Mineral and Land Records System
- Office of Natural Resources Revenue, Natural Resources Revenue Data
- PHMSA, Pipeline Data and Statistics
- U.S. Census Bureau, County Business Patterns Methodology
- Bureau of Labor Statistics, Quarterly Census of Employment and Wages
- Railroad Commission of Texas, Oil and Gas Research and Statistics
- New Mexico Oil Conservation Division, OCD Data