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Public procurement companies, UTES, and UTEs - Candidate companies tables

<p>This dataset presents structured data extracted from the Spanish Procurement metadata dataset obtained through crawling the Spanish government&rsquo;s <a href="https://contrataciondelestado.es/wps/portal/plataforma">&ldquo;Plataforma de contrataci&oacute;n del sector p&uacute;blico&rdquo;.</a> The dataset includes two main Parquet tables generated using scripts sourced from the GitHub repository <a href="https://github.com/nextprocurement/NP-Company-Process">NP-Company-Process</a>:</p> <ol> <li> <p><strong>Company Information Table (<code>company_info.parquet</code>):</strong> This table contains detailed records for each company identified in the Spanish Procurement metadata. The available metadata includes fields such as the Tax Identification Number (NIF), Full Name, Name, Province, NIF type, Company Type, Company Description, a list of associated Tender IDs, and an indicator for whether the company is classified as a PYME (small and medium-sized enterprise).</p> </li> <li> <p><strong>Uni&oacute;n Temporal de Empresas (UTEs) Table (<code>utes.parquet</code>):</strong> Similar to the company information table, this table specifically focuses on UTEs. It provides information about the companies involved in each UTE along with their respective details.</p> </li> </ol> <p>Additionally, the dataset includes two derived tables:</p> <ul> <li> <p><strong>UTEs Description Table (<code>utes_des.parquet</code>):</strong> This table details the composition of each UTE by listing the companies that form it. However, note that due to potential false positives and missing data, some inaccuracies may exist, especially when dealing with generic company names.</p> </li> <li> <p><strong>Companies Description Table (<code>companies_des.parquet</code>):</strong> This table outlines the UTEs in which each company is suggested to have participated, as determined by the algorithm. Similar to the UTEs table, it's important to consider potential inaccuracies stemming from false positives and missing data.</p> </li> </ul> <p>These tables collectively offer a comprehensive view of company and UTE data sourced from Spanish public procurement records. Users should exercise caution and be aware of potential inaccuracies, particularly related to false positives and missing data in certain cases.</p>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
12
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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