Staff vetting records system.

The Partner Vetting System is a database that supports the vetting of Non-Government Organizations (NGOs) and individuals to ensure that USAID-funded assistance does not inadvertently provide support to entities or individuals associated with terrorism. PVS is a centralized database utilized to support the vetting of individuals and directors, officers, or other principal employees of NGOs who apply for USAID contracts, grants, cooperative agreements, or other funding and of NGOs who apply for registration with USAID Private and Voluntary Organizations. Vetting Program's Vetting Officials (VOs) and Vetting Assistants (VAs) can access PVS from any workstation within the agency's network (AIDNET)

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Database holds vetting information for DECC staff and contractors

Details of security clearance of individuals employed by Department for Environment, Food and Rural Affairs (Defra) and the Defra Network

This excel spreadsheet records details of security clearance applications which have been made online by the Department and National Security Vetting sponsors. It contains the names and dates of birth of the applicants. It is updated by the Transport Security Strategy vetting team staff.

ETHOS system database, data held: name, date of birth, place of birth, postcode & employer name.

Data relating to security clearances for MoD and other repayment customers

Applicant - name, title, date of birth, place of birth, current and past address, postcode, employer name, nationality, government service history and criminal history. Applicant's partner and parents - name, title, date of birth, place of birth, current and past address and nationality of applicant's partner and parents.

A list of 862 officers vetted in February 2016 by the National Police Service Commission. These police officers have served in the traffic department from 2012 to date.

The global background screening market for franchises is experiencing robust growth, driven by increasing concerns regarding franchisee suitability and risk mitigation. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching an estimated $4.2 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising popularity of franchise models across various sectors necessitates rigorous vetting of potential franchisees to prevent financial losses and reputational damage. Secondly, evolving regulatory landscapes and heightened legal scrutiny are compelling franchisors to adopt more comprehensive background screening practices. Thirdly, technological advancements in background check platforms, offering faster turnaround times and enhanced data accuracy, are streamlining the process and making it more cost-effective. The market is segmented by application (SMEs and large enterprises) and verification type (professional license, credit history, education background, and others). Large enterprises currently dominate the market share due to their greater resources and higher risk tolerance, but the SME segment is expected to show significant growth as awareness of the importance of background checks increases. The North American region currently holds the largest market share due to the high concentration of franchise businesses and stringent regulatory frameworks. However, Asia-Pacific, particularly India and China, is poised for substantial growth in the coming years due to the burgeoning franchise industry and increasing adoption of modern risk management practices. While the market faces restraints such as data privacy concerns and the cost of comprehensive screening, the overall trend indicates sustained growth, driven by the increasing importance of protecting brand reputation, minimizing financial risk, and complying with evolving legal and regulatory requirements. The competitive landscape is comprised of both large, established players and smaller, specialized firms, leading to innovation and continuous improvement in background check services.

Records vetting levels of those MCA personnel who have clearance above Baseline Personnel Security Standard (CTC, SC and DV)

Name, address, contact details, date of birth, disclosure reference numbers.

The data in this repository is the result of vetting 16S sequences from the Genome Taxonomy Database (GTDB) release R10RS226 (r226) (https://gtdb.ecogenomic.org/; Parks et al. 2018) with the Sativa program (Kozlov et al. 2016) using the sbdi-phylomarkercheck Nextflow pipeline.

Using Sativa [Kozlov et al. 2016], 16S sequences from GTDB were checked so that their phylogenetic signal is consistent with their taxonomy.

Before calling Sativa, sequences longer than 2000 nucleotides or containing Ns were removed, and the reverse complement of each is calculated. Subsequently, sequences were aligned with HMMER [Eddy 2011] using the Barrnap [https://github.com/tseemann/barrnap] archaeal and bacterial 16S profiles respectively, and sequences containing more than 10% gaps were removed. The remaining sequences were analyzed with Sativa, and sequences that were not phylogenetically consistent with their taxonomy were removed.

Files for the DADA2 (Callahan et al. 2016) methods assignTaxonomy and addSpecies are available, in three different versions each. The assignTaxonomy files contain taxonomy for domain, phylum, class, order, family, genus and species. (Note that it has been proposed that species assignment for short 16S sequences require 100% identity (Edgar 2018), so use species assignments from assignTaxonomy with caution.) The versions differ in the maximum number of genomes that we included per species: 1, 5 or 20, indicated by "1genome", "5genomes" and "20genomes" in the file names respectively. Using the version with 20 genomes per species should increase the chances to identify an exactly matching sequence by the addSpecies algorithm, while using a file with many genomes per species could potentially give biases in the taxonomic annotations at higher levels by assignTaxonomy. Our recommendation is hence to use the "1genome" files for assignTaxonomy and "20genomes" for addSpecies.

The fasta files are gzipped fasta files with 16S sequences, the assignTaxonomy associated with taxonomy hierarchies from domain to species whereas the addSpecies file have sequence identities and species names. There is also a fasta files with the original GTDB sequence names: sbdi-gtdb-sativa.r09rs220.20genomes.fna.gz.

Taxonomical annotation of 16S amplicons using this data is available as an optional argument to the nf-core/ampliseq Nextflow workflow: --dada_ref_taxonomy sbdi-gtdb (https://nf-co.re/ampliseq; Straub et al. 2020).

In addition to the fasta files, the workflow outputs phylogenetic trees by optimizing branch-lengths of the original phylogenomic GTDB trees based on a 16S sequence alignment. As not all species in GTDB will have correct 16S sequences, the GTDB trees are first subset to contain only species for which the species representative genome has a correct 16S sequence. Subsequently, branch lengths for the tree are optimized based on the original alignment of 16S sequences using IQTREE [Nguyen et al. 2015] with a GTR+F+I+G4 model. The alignment files end with .alnfna, the taxonomy files with .taxonomy.tsv and the tree files (newick-formatted) end with .brlenopt.newick. They will be made available in nf-core/ampliseq for phylogenetic placement.

The data will be updated circa yearly, after the GTDB database is updated.

Version history

• v10 (2025-04-30): Update versions in this text
• v9 (2025-04-29): Update to GTDB R10-RS226
• v8 (2025-02-18): Remove extra sequences from e.g. "1genome" files that appeared due to ties.
• v7 (2024-06-25): Update to GTDB R09-RS220 from R08-RS214.
• v6 (2024-04-24): Replace manual procedure with Nextflow pipeline. Update to GTDB R08-RS214 from R07-RS207.
• v5 (2022-10-07): Add missing fasta file with original GTDB names.
• v4 (2022-08-31): Update to GTDB R07-RS207 from R06-RS202 Acknowledgements

The computations were enabled by resources in project [NAISS 2023/22-601, SNIC 2022/22-500 and SNIC 2021/22-263] provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at UPPMAX, funded by the Swedish Research Council through grant agreement no. 2022-06725.

Computations were also enabled by resources provided by Dr. Maria Vila-Costa, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona.

To list all those who hold a national security vetting clearance and Disclosure Scotland details of all contractors within the organisation

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

U.S. Customs and Border Protection is pleased to present the Import Trade Trends Report. This report is produced semiannually and features graphical analysis and trade highlights. While U.S. Census Bureau has been producing monthly trade statistics at the aggregate level, this report is designed to trace major trade patterns and their impact on CBP workload and initiatives.rnrn

U.S. Customs and Border Protection is pleased to present the Import Trade Trends Report. This report is produced semiannually and features graphical analysis and trade highlights. While U.S. Census Bureau has been producing monthly trade statistics at the aggregate level, this report is designed to trace major trade patterns and their impact on CBP workload and initiatives.

Welcome to the North America Data: Your Gateway to Strategic Connections Across the Americas

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Our database doesn’t just provide contact information—it also includes detailed data on employee size and revenue. Whether you’re targeting small startups, mid-sized enterprises, or large multinational corporations, our database has the depth to accommodate your needs. We offer insights into:

• Employee Size: From small businesses with 1-10 employees to large enterprises with 10,000+ employees.

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Unlock Opportunities Across the Americas
With the North America Data, you gain access to a powerful resource designed to unlock endless opportunities for growth and success. Whether you’re looking to break into new markets, establish strong business relationships, or enhance your market intelligence, our database equips you with the tools you need to excel.

Explore the North America Data tod...

Quota information is issued for the trade community by the Quota Enforcement Administration Branch within the Office of International Trade. The Quota Bulletins have replaced the previous Quota Book Transmittals. Current and relevant previous year bulletins are organized by year of issuance.