Transcriptional Regulatory Element Database (TRED) has been built in response to increasing needs of an integrated repository for both cis- and trans- regulatory elements in mammals, and the lack of such resources at present.

The Database Security Evaluation System market is experiencing robust growth, driven by the increasing prevalence of cyber threats targeting sensitive data stored in databases. The market's expansion is fueled by the rising adoption of cloud-based databases, the growing need for regulatory compliance (e.g., GDPR, CCPA), and the increasing sophistication of cyberattacks. Small and Medium-sized Enterprises (SMEs) are a significant growth segment, recognizing the critical need for robust database security solutions despite limited budgets. The market is segmented by deployment type (Cloud-Based and On-Premise), with Cloud-Based solutions gaining significant traction due to their scalability, cost-effectiveness, and ease of management. Key players such as Oracle, IBM, and specialized security firms like TechCERT and Xiarch are actively competing in this space, offering a diverse range of solutions tailored to specific industry needs. While the initial investment in database security evaluation systems can be a restraint for some organizations, the long-term cost savings associated with preventing data breaches far outweigh the initial expense. The market's geographic distribution shows a strong presence in North America and Europe, driven by advanced technological infrastructure and stringent data protection regulations. However, growth opportunities are emerging in Asia-Pacific and other developing regions, fueled by increasing digitalization and government initiatives promoting cybersecurity. By 2033, the market is projected to reach substantial size, reflecting a consistent compound annual growth rate (CAGR) driven by the continuous demand for robust database security measures. The competitive landscape is characterized by both established players offering comprehensive security suites and specialized firms focusing on niche solutions. Strategic partnerships, mergers, and acquisitions are expected to shape the market dynamics in the coming years. Continuous innovation in areas such as artificial intelligence (AI) and machine learning (ML) for threat detection and prevention is further driving the adoption of advanced database security evaluation systems. The market is likely to see an increasing focus on integrating security solutions directly within database management systems (DBMS), offering seamless protection and streamlined management. The demand for skilled professionals capable of implementing and managing these systems is also likely to grow, creating opportunities for training and certification programs.

TRRD is a unique information resource, accumulating information on structural and functional organization of transcription regulatory regions of eukaryotic genes. Only experimentally confirmed information is included into TRRD. Transcription Regulatory Regions Database (TRRD) is developed for accumulation of experimental information on the structure-function features of regulatory regions of eukaryotic genes. Each entry of TRRD corresponds to a particular gene. The annotated part of an entry includes the structure-function description of gene regulatory regions composed by regulatory units (promoters, silencers, enhancers, etc.), individual transcription factor binding sites that constitute these regulatory units, and transcription factors that bind to these sites. In addition, the entry contains the gene expression patterns and references to original publications.

​The OECD Services Trade Restrictiveness Index (STRI) is a unique, evidence-based tool that collects information on services trade restrictions across major services sectors. The project has two distinct but complementary instruments: a services trade regulatory database and a services trade restrictiveness index. These instruments provide a rich source of information for trade policy makers, trade negotiators and researchers, and an instrument for impact assessment of trade liberalisation. The STRI further allows individual countries to benchmark their services market regulations against the global best practice, identify outlier restrictions and current bottlenecks.

For further details, please refer to https://www.oecd.org/trade/topics/services-trade/

​The OECD Services Trade Restrictiveness Index (STRI) is a unique, evidence-based tool that collects information on services trade restrictions across major services sectors. The project has two distinct but complementary instruments: a services trade regulatory database and a services trade restrictiveness index. These instruments provide a rich source of information for trade policy makers, trade negotiators and researchers, and an instrument for impact assessment of trade liberalisation. The STRI further allows individual countries to benchmark their services market regulations against the global best practice, identify outlier restrictions and current bottlenecks. For further details, please refer to https://www.oecd.org/trade/topics/services-trade/

United States US: Regulatory Quality: Estimate data was reported at 1.628 NA in 2017. This records an increase from the previous number of 1.497 NA for 2016. United States US: Regulatory Quality: Estimate data is updated yearly, averaging 1.532 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.761 NA in 2000 and a record low of 1.256 NA in 2015. United States US: Regulatory Quality: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WGI: Country Governance Indicators. Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

A database of motifs found in plant cis-acting regulatory DNA elements, all from previously published reports. It covers vascular plants only. In addition to the motifs originally reported, their variations in other genes or in other plant species reported later are also compiled. The PLACE database also contains a brief description of each motif and relevant literature with PubMed ID numbers. DDBJ/EMBL/GenBank nucleotide sequence databases accession numbers will be also included. Note: As of January 2007, PLACE is no longer updated or maintained.

Credit Access Business and Consumer Utility Complaint Dashboard

The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for all types of vehicles (mobile sources of air pollution) excluding snowmobile, marine (diesel), and heavy duty engines whichsummary data is updated on an annual basis. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Clean Air Act, Energy Policy and Conservation Act (EPCA) and the Energy Independent Security Act (EISA) of 2007.

This data set lists active and historical enforcement actions records that are stored in the California Integrated Water Quality System (CIWQS). Enforcement actions are generally issued in response to one or more instances of non-compliance (violations) of a base regulatory measure. Enforcement actions can be monetary or non-monetary.

Open source, open access database and literature curation system for community based annotation of experimentally identified DNA regulatory regions, transcription factor binding sites and regulatory variants. Automatically cross referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, eVOC: Cell type ontology, and Taxonomy database. Community driven resource for curated regulatory annotation.

1. Website usage instructions2. Website usage case instructions3. Website unit introduction

Abstract

The Global Data Regulation Diagnostic provides a comprehensive assessment of the quality of the data governance environment. Diagnostic results show that countries have put in greater effort in adopting enabler regulatory practices than in safeguard regulatory practices. However, for public intent data, enablers for private intent data, safeguards for personal and nonpersonal data, cybersecurity and cybercrime, as well as cross-border data flows. Across all these dimensions, no income group demonstrates advanced regulatory frameworks across all dimensions, indicating significant room for the regulatory development of both enablers and safeguards remains at an intermediate stage: 47 percent of enabler good practices and 41 percent of good safeguard practices are adopted across countries. Under the enabler and safeguard pillars, the diagnostic covers dimensions of e-commerce/e-transactions, enablers further improvement on data governance environment.

The Global Data Regulation Diagnostic is the first comprehensive assessment of laws and regulations on data governance. It covers enabler and safeguard regulatory practices in 80 countries providing indicators to assess and compare their performance. This Global Data Regulation Diagnostic develops objective and standardized indicators to measure the regulatory environment for the data economy across countries. The indicators aim to serve as a diagnostic tool so countries can assess and compare their performance vis-á-vis other countries. Understanding the gap with global regulatory good practices is a necessary first step for governments when identifying and prioritizing reforms.

Geographic coverage

80 countries

Analysis unit

Country

Kind of data

Observation data/ratings [obs]

Sampling procedure

The diagnostic is based on a detailed assessment of domestic laws, regulations, and administrative requirements in 80 countries selected to ensure a balanced coverage across income groups, regions, and different levels of digital technology development. Data are further verified through a detailed desk research of legal texts, reflecting the regulatory status of each country as of June 1, 2020.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The questionnaire comprises 37 questions designed to determine if a country has adopted good regulatory practice on data governance. The responses are then scored and assigned a normative interpretation. Related questions fall into seven clusters so that when the scores are averaged, each cluster provides an overall sense of how it performs in its corresponding regulatory and legal dimensions. These seven dimensions are: (1) E-commerce/e-transaction; (2) Enablers for public intent data; (3) Enablers for private intent data; (4) Safeguards for personal data; (5) Safeguards for nonpersonal data; (6) Cybersecurity and cybercrime; (7) Cross-border data transfers.

Response rate

100%

The average for 2023 based on 193 countries was -0.03 points. The highest value was in Singapore: 2.31 points and the lowest value was in North Korea: -2.39 points. The indicator is available from 1996 to 2023. Below is a chart for all countries where data are available.

The Mobile Source Emissions Regulatory Compliance Data Inventory data asset contains measured summary compliance information on light-duty, heavy-duty, and non-road engine manufacturers by model, as well as fee payment data required by Title II of the 1990 Amendments to the Clean Air Act, to certify engines for sale in the U.S. and collect compliance certification fees. Data submitted by manufacturers falls into 12 industries: Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, Snowmobile, Motorcycle & ATV, Non-Road Compression Ignition, Non-Road Small Spark Ignition, Light-Duty, Evaporative Components, Non-Road Large Spark Ignition, and Locomotive. Title II also requires the collection of fees from manufacturers submitting for compliance certification. Manufacturers submit data on an annual basis, to document engine model changes for certification. Manufacturers also submit compliance information on already certified in-use vehicles randomly selected by the EPA (1) year into their life and (4) years into their life to ensure that emissions systems continue to function appropriately over time.The EPA performs targeted confirmatory tests on approximately 15% of vehicles submitted for certification. Confirmatory data on engines is associated with its corresponding submission data to verify the accuracy of manufacturer submission beyond standard business rules.Section 209 of the 1990 Amendments to the Clean Air Act grants the State of California the authority to set its own standards and perform its own compliance certification through the California Air Resources Board (CARB). Currently manufacturers submit compliance information separately to both the EPA and CARB. Currently, data harmonization occurs between EPA data and CARB data only for Motorcycle & ATV submissions.Submitted data comes in XML format or as documents, with the majority of submissions being sent in XML. Data includes descriptive information on the engine itself, as well as on manufacturer testing methods and results. Submissions may include information (CBI) such as information on estimated sales, new technologies, catalysts and calibration, or other data elements indicated by the submitter as confidential. CBI data is not publically available, but it is available within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollution emission data covers a range of Criteria Air Pollutants (CAPs) including carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter. Datasets are segmented by vehicle/engine model and year, with corresponding emission, test, and certification data. Data assets are primarily stored in EPA's Verify system. Data collected from the Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, and Snowmobile industries, however, are currently stored in legacy systems the will be migrated to Verify in the future.Coverage began in 1979, with early records being primarily paper documents that did not go through the same level of validation as the digital submissions that began in 2005.Mobile Source Emissions Compliance documents with metadata, certificate and summary decision information is made available to the public through EPA.gov via the OTAQ Document Index System (http://iaspub.epa.gov/otaqpub).

Comprehensive database of federal deregulation news from government agencies, think tanks, and news sources

Switzerland Regulatory Quality: Estimate data was reported at 1.884 NA in 2017. This records a decrease from the previous number of 1.912 NA for 2016. Switzerland Regulatory Quality: Estimate data is updated yearly, averaging 1.647 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.912 NA in 2016 and a record low of 1.496 NA in 2006. Switzerland Regulatory Quality: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank.WGI: Country Governance Indicators. Regulatory Quality captures perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.

Authoritative sources citing MerchantGuard payment compliance facts and research

The global regulatory compliance management software market size was USD 1.89 Billion in 2023 and is likely to reach USD 4.76 Billion by 2032, expanding at a CAGR of 10.8% during 2024–2032. The market growth is attributed to the rising importance of data protection and growing digitization.



Increasing demand for streamlined operations is driving the popularity of regulatory compliance management software. This technology focuses on making organizations efficient by ensuring compliance with governmental regulations. The tool offers multiple features, including risk management, audit management, and compliance management. Organizations are able to optimize their workflow, mitigate risks, and ensure adherence to diverse regulations by leveraging these solutions.

The rapid digitalization of businesses is among the key factors boosting the adoption of regulatory compliance management software. Digital platforms generate vast quantities of data, which are subject to strict regulatory oversight. Hence, companies increasingly rely on advanced technologies to handle, analyze, and store this data in compliance with all pertinent regulations. regulatory compliance management software provides an effective mechanism for managing such digital data.

Impact of Artificial Intelligence (AI) in Regulatory Compliance Management Software Market

Artificial Intelligence's impact on the market remains profound. AI technologies automate and streamline compliance processes, increasing efficiency and effectiveness. Complex data interpretations become feasible with AI, highlighting potential issues before they evolve into significant problems.



AI integration further ensures accurate monitoring and reporting, enhancing transparency for regulators and stakeholders. Thus, the integration of artificial intelligence reshapes the regulatory compliance management software market to provide proactive, predictive, and personalized compliance solutions for businesses.

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Success.ai’s Regulatory Company Data provides organizations with access to verified profiles and contact details for legal and compliance professionals worldwide. Drawing from over 170 million verified professional profiles, this dataset includes work emails, direct phone numbers, and LinkedIn profiles of compliance officers, regulatory managers, attorneys, and other key decision-makers in corporate governance and regulatory affairs. Whether you’re addressing global compliance challenges, navigating complex legal frameworks, or offering specialized legal services, Success.ai ensures that your outreach is guided by accurate, up-to-date, and continuously validated contact data.

Why Choose Success.ai’s Regulatory Company Data?

1. Comprehensive Contact Information

   • Access verified work emails, phone numbers, and professional profiles of compliance officers, regulatory managers, and legal professionals across various industries and regions.
   • AI-driven validation ensures 99% accuracy, giving you confidence in the reliability and precision of the data.

2. Global Reach in Legal and Compliance Roles

   • Includes profiles of legal counsels, compliance directors, risk management officers, and corporate governance advisors in corporations, financial institutions, and regulatory agencies.
   • Covers North America, Europe, Asia-Pacific, South America, and the Middle East, enabling effective engagement with professionals in established and emerging markets.

3. Continuously Updated Datasets

   • Real-time updates help you stay current with evolving roles, titles, and responsibilities, keeping your outreach aligned with ongoing regulatory and legal shifts.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring that your approach to connecting with legal and compliance professionals is always ethical and lawful.

Data Highlights:

• 170M+ Verified Professional Profiles: Includes legal and compliance professionals and decision-makers globally.
• 50M Work Emails: AI-validated for precise communication and minimized bounce rates.
• 30M Company Profiles: Gain organizational insights to understand corporate structures, helping you tailor outreach effectively.
• 700M Global Professional Profiles: Enriched datasets supporting a broad range of business development and market analysis initiatives.

Key Features of the Dataset

1. Decision-Maker Profiles in Compliance and Legal Domains

   • Identify and connect with GCs, CLOs, compliance officers, and regulatory managers influencing corporate policies, risk assessments, and regulatory adherence.

2. Advanced Filters for Precision Targeting

   • Refine outreach by industry, company size, location, or specific legal/compliance roles, ensuring your message reaches the right audience at the right time.

3. AI-Driven Enrichment

   • Profiles are enriched with actionable data, providing insights into areas of specialization, jurisdictional expertise, and regulatory focus, allowing for more personalized engagement.

Strategic Use Cases:

1. Risk Management and Compliance Solutions

   • Present compliance software, monitoring tools, or audit services directly to professionals managing regulatory risk and adherence within organizations.
   • Build relationships with decision-makers overseeing compliance training, enforcement, and remediation.

2. Legal Services and Advisory Campaigns

   • Offer legal services, regulatory consulting, or advisory support to GCs and legal teams seeking assistance with complex compliance mandates.
   • Target professionals involved in contract management, dispute resolution, and corporate governance.

3. Policy Advocacy and Regulatory Outreach

   • Engage with key influencers in corporate compliance to share policy insights, industry best practices, or research findings that inform regulations and guidelines.
   • Build networks that facilitate dialogue on legislative changes and compliance frameworks.

4. Technology and Automation Integration

   • Present solutions such as AI-driven compliance analytics, e-discovery tools, or contract automation software to legal and regulatory decision-makers.
   • Support digital transformation initiatives that streamline regulatory processes and reduce risk.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality verified data at competitive prices, ensuring your investments in outreach deliver maximum ROI.

2. Seamless Integration

   • Integrate verified contact data directly into your CRM or marketing platforms via APIs or downloadable formats, simplifying data management.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to underpin data-driven decisions, improve targeting, and enhance the effectiveness of compliance and legal outreach campaigns.

4. Customizable and Scalable Solutions

   • Tailor datasets to f...