Ministerio de Salud: a data access report

The main format pattern

The largest normalized label is CSV. It appears on 144 resource records.

This represents 47.1% of the listed format declarations.

The two largest labels account for 67.3% of that total.

The export contains 306 format declarations across 9 normalized labels.

These are catalogue declarations. This report does not verify every file or service response.

Compare the resource structure

This entry has 4.86 listed format declarations per dataset.

The median among 22 listed publishers in Argentina is 5.21.

The entry records 4.9% of the datasets in the saved national portal export.

Multiple resources can indicate file versions, geographic parts, or alternative formats. A larger ratio does not prove better data.

The export retains up to 20 format labels per publisher. It excludes empty labels and some small publishers.

Check the two source counters

The dataset metadata declares 306 resources. The format table contains 306 declarations.

The two saved totals agree. This agreement does not verify the current files.

The percentages in this report use the listed format declarations as their denominator.

The export does not establish a verified count of unique, accessible files.

Interpret the metadata dates

The stored sample contains 63 dataset titles. 63 have a recorded modification date.

Those dates range from 2026-08-03 to 2026-08-03.

A catalogue edit can change the modification date without a change to the observations.

The sample can omit older records. It does not establish a publication rate or a complete historical series.

Compare the observation period on the source page before you describe a trend.

Checks for CSV

1. Confirm the delimiter and character encoding.
2. Import identifiers as text to preserve leading zeroes.
3. Compare the number of fields in each row.
4. Check decimal symbols and date formats before calculations.
5. Retain blank cells until the source defines their meaning.

Plan access to the data

CSV stores table rows as text. A delimiter separates the fields.

1. Open the government source portal.
2. Find the required dataset with its exact catalogue title.
3. Confirm the observation period and geographic coverage.
4. Read the licence for that dataset.
5. Choose a file format that preserves the required fields.
6. Record the source URL and access date.

What the evidence supports

The format table identifies the main access methods in the saved catalogue.

The declaration ratio describes the structure of the saved catalogue records.

Neither measure establishes the accuracy, completeness, or current availability of the underlying observations.

Use a second dated catalogue export before any claim that publication volume increased or decreased.