Form for registrant to apply for protection of new chemical substance data

This dataset includes the informed consent forms template used in the research projecte "WeAreHere!"(WaH) ["SomAquí!"] for children's questionnaire, for teachers' questionnaire and for advisory groups. Children under 14 years old doing the questionnaire or participating in the advisory groups needed also the consent of their parents (informed consent forms also included in this dataset). It also includes the image rights forms template for children under 14 years old and 14 and over. All the documents are in Catalan language, except the informed consent forms for parents, that have a Catalan and Spanish version. The informed consent forms have been designed according to the Organic Law 3/2018 on Data Protection and Guarantee of Digital Rights and the General Data Protection Regulation (GDPR) 2016/679 of the European Parliament and of the Council and have been approved by the Ethical Committee of the University of Girona (CEBRU0009-21).

Form 5208 is a template agreement that a researcher and institution would enter into to ensure the security and confidentiality of personal information which may be disclosed for a research purpose.

CBP public forms is a repository CBP forms in PDF format that supports the CBP Office of Finance by making available to the public and trade community electronic forms that can be completed online, saved and printed. There is no database associated to this collection of documents. Downloadable forms meets the business need of CBP to increase efficiency in processing of form related activities and to meet objectives of the Paper Reduction Act.

This dataset is a central catalogue of Data Protection Impact Assessments (DPIAs) of smart city projects that collect personal information in public spaces. By publishing this in one place for the first time, it will enable public transparency and support good practice among operators. A DPIA helps to identify and minimise the risks of a project that uses personal data. Further information: DPIA registration form: https://www.london.gov.uk/dpia-register-form Information Commissioner DPIA: https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/accountability-and-governance/data-protection-impact-assessments/

Forecast: Internet Users Who Did Not Submit Forms to Public Authorities Because of Personal Data Protection and Security Concerns in the Last 12 Months by Household Type in the Netherlands 2022 - 2026 Discover more data with ReportLinker!

The size of the Data Protection and Recovery Solutions Market was valued at USD 6.73 billion in 2023 and is projected to reach USD 19.25 billion by 2032, with an expected CAGR of 16.2 % during the forecast period. Data protection and recovery solutions are crucial tools created to protect digital information in the event of a disaster or data loss or cyber-attack, where data becomes unavailable. Data protection and recovery solutions involve a range of technologies and strategies to prevent unauthorized data breaches, access, and corruption. Common measures involved in data protection include encryption, secure backup, and other mechanisms to restrict access to sensitive information. Recovery solutions focus on restoring lost or damaged data quickly and effectively. This may include cloud-based backups, off-site storage, and disaster recovery sites that maintain business continuity even in the event of system failure, ransomware attacks, and natural disasters. With the growing volume of data and increased cyber threats, organizations are adopting advanced solutions like automated backups, data deduplication, and real-time monitoring to enhance data resilience. These solutions are critical to the protection of intellectual property, ensuring regulatory compliance, and enabling businesses to recover quickly and continue their operations in crisis situations. Recent developments include: In February 2024, Cohesity, Inc. announced the agreement to acquire data protection unit of Veritas Technologies LLC, to expand the customer base to deliver reliable data protection services. , In June 2024, Veeam Software, a key player in data protection and recovery industry, launched Veeam Data Cloud Vault. This newly developed cloud-based enhanced security storage service ensures secure storage of backup data in encrypted forms which adds extra layer of protection for critical business information and data sets. .

This document is a customisable consent form template designed for researchers conducting studies in residential buildings. It facilitates informed consent from building owners or authorised representatives by clearly outlining the project description, purpose and type of data collection, data storage and retention, confidentiality and data sharing policies, and participants' rights, including voluntary participation and the right to withdraw. The form also includes contact information for questions or withdrawal and a section on participants’ rights under GDPR. In addition, it emphasises the potential for collected data to be reused in future research, supporting data reusability and repurposing. This maximises the utility of a single dataset by enabling it to support diverse research outcomes, while also reducing the environmental footprint associated with repeated data collection and processing. This template ensures ethical compliance, transparency, and sustainability in research involving residential properties.

Disclaimer: This guide is meant to act as a template for commonality across projects and allow projects to share data in line with GDPR projection laws. However, the data controller who is using the template is responsible for the content of the consent form (not just the text in brackets), and how it is edited to suit their project and ensuring it is in line with GDPR data protection laws. Your consent form should get approval / sign off from the data protection officer of the data controller’s respective organisation.

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.

The "Data Privacy form." file contains responses to a data privacy awareness survey. The sheet is titled "Data Privacy and Data Security." and includes the following key areas: Demographics: Age range, gender, and location. Device usage: Types of digital devices used daily (e.g., phone, computer, TV). Privacy concerns: Level of concern about online privacy and trust in online platforms. Personal data sensitivity: Types of personal information respondents are most concerned about. Digital habits: Frequency of: Using online platforms Reading privacy policies Updating devices Using antivirus or ad-blockers Perceived data security: Trust in tech companies and using public Wi-Fi. Experiences: History of data breaches or identity theft. Other habits: Screentime, use of online payment methods, concerns about hacking. The data is structured but includes some formatting issues—such as mismatched headers and misplaced values—which could be cleaned up for better analysis. Let me know if you want a cleaned-up version, summary statistics, or visualizations from this dataset.

This dataset comprises semi-structured interviews conducted with domain experts in data protection and privacy regulations from various jurisdictions. All interviewee have formal legal education or are recognized as experts in the domain (ex: data protection authority, known authors/speakers). The purpose of the interviews is to identify common and divergent data protection regulatory requirements that impact transborder personal data flows and compliance in multiple systems.

The database includes transcripts of expert interviews that have been made publicly available, upon informed and explicit consent from the participants. By default, all interviews are anonymized to protect the identity of the participants and to reduce potential bias during analysis. Other interviews may be available upon request, and other are kept confidential depending on the participants consent.

The files have been named in the following manner: [COUNTRY OF EXPERTISE]-[Random letters]. This way, when referring to the specific subject, we can identify them this way.

Transcripts were done with AI models upon the consent of the subject. The section in bold represent the interviewer, and normal font is the interviewee. For more details on the transcription purpose, you can check here [unavailable for reviewing reasons]

In addition we have included a detailed codebook used to support qualitative analysis. The codebook provides definitions for each code used. When new codes emerged, these were added to the codebook with appropriate annotation (ex: labelled as new), including a definition and possibly verbatims.

The guiding semi-structured interview and blinded consent form are included.

For more information, please refer to [unavailable for reviewing reasons]

Client-Side Key Management for Forms Market Outlook

According to our latest research, the global Client-Side Key Management for Forms market size reached USD 1.14 billion in 2024, reflecting the growing significance of data privacy and regulatory compliance in digital transactions. The market is projected to grow at a robust CAGR of 16.7% over the forecast period, reaching USD 5.31 billion by 2033. This remarkable expansion is primarily fueled by the increasing adoption of cloud-based services, a surge in cyber threats targeting online forms, and stringent data protection mandates across industries. The demand for advanced security solutions that empower organizations to maintain control over encryption keys at the client side is becoming a critical aspect of enterprise IT strategies worldwide.

One of the primary growth drivers for the Client-Side Key Management for Forms market is the escalating frequency and sophistication of cyberattacks targeting sensitive data captured through web and mobile forms. Organizations are increasingly aware that traditional server-side encryption methods are often insufficient to counteract modern threats such as man-in-the-middle attacks and data interception during form submission. The ability to manage encryption keys on the client side ensures that sensitive information remains encrypted throughout its lifecycle, significantly reducing the risk of data breaches. Furthermore, this approach aligns with emerging privacy-by-design principles, making it an attractive option for businesses seeking to enhance their security posture without compromising user experience or operational efficiency.

Another significant factor propelling the market is the evolving regulatory landscape, particularly in sectors such as healthcare, BFSI, and government. Regulations like the General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), and the California Consumer Privacy Act (CCPA) mandate stringent controls over personal and sensitive data. Client-side key management enables organizations to demonstrate compliance by providing auditable control over encryption keys and ensuring that data remains protected even before it enters the organization’s backend infrastructure. This capability is especially critical for multinational enterprises that operate across jurisdictions with varying data sovereignty requirements, further driving the adoption of client-side encryption solutions for forms.

The rapid digital transformation across industries, coupled with the proliferation of cloud-native applications and remote workforces, is also catalyzing market growth. As organizations migrate to cloud environments and embrace SaaS platforms, concerns over data residency and unauthorized access have intensified. Client-side key management addresses these concerns by allowing enterprises to retain exclusive control over encryption keys, regardless of the underlying cloud provider or service architecture. This flexibility is particularly valued by large enterprises and highly regulated sectors, which require granular control over data security policies. The integration of advanced cryptographic algorithms and seamless user experiences is further enhancing the value proposition of client-side key management solutions, paving the way for sustained market expansion.

From a regional perspective, North America is expected to maintain its dominance in the Client-Side Key Management for Forms market throughout the forecast period, driven by the presence of leading technology providers, a mature cybersecurity ecosystem, and early adoption of innovative security solutions. However, Asia Pacific is anticipated to exhibit the highest growth rate, supported by rapid digitalization, increasing internet penetration, and a surge in cybercrime incidents. Europe, with its stringent data protection regulations and growing awareness among enterprises, is also poised for steady growth. Meanwhile, the Middle East & Africa and Latin America are witnessing gradual adoption, primarily led by multinational corporations and government initiatives aimed at enhancing data security infrastructure.

Simple data about areas covered by forms of nature protection over the years in Poland. The data does not include the 'Natura 2000' program. The data comes from the Central Statistical Office in Poland.

Include Privacy Act statements on forms that collect information that will be maintained in a Privacy Act system of records, or provide Privacy Act statements

AI-Generated Medical Consent Form Market Outlook

According to our latest research, the global AI-Generated Medical Consent Form market size reached USD 412.5 million in 2024, reflecting a robust adoption across healthcare sectors worldwide. The market is expected to grow at a CAGR of 19.2% from 2025 to 2033, projecting a value of USD 1,969.7 million by 2033. This notable growth is attributed to the increasing digitization of healthcare, rising emphasis on patient-centric care, and the urgent need for error-free, compliant medical documentation solutions.

One of the primary growth drivers for the AI-Generated Medical Consent Form market is the escalating demand for automation and efficiency in healthcare documentation. As healthcare providers face mounting pressure to streamline operations and reduce administrative burdens, AI-powered solutions are becoming indispensable. These platforms facilitate the rapid generation of accurate, legally compliant consent forms, minimizing manual errors and ensuring that patients are fully informed prior to medical procedures. The integration of natural language processing (NLP) and machine learning algorithms enables these systems to tailor consent documents to individual patient profiles, languages, and literacy levels, further enhancing patient understanding and satisfaction. The push for digital transformation, accelerated by the COVID-19 pandemic, has spotlighted the critical need for scalable and secure consent management systems, propelling market adoption.

Another significant growth factor is the tightening of regulatory frameworks governing patient consent and data privacy. Governments and regulatory bodies worldwide are mandating stricter compliance with informed consent procedures, especially in light of evolving data protection laws such as HIPAA in the United States and GDPR in Europe. AI-generated consent forms not only ensure adherence to these regulations but also provide automated audit trails and version control, reducing legal risks for healthcare organizations. The ability to dynamically update consent forms in response to changing legal requirements or clinical protocols positions AI solutions as a strategic asset in modern healthcare settings. Additionally, the growing prevalence of telemedicine and remote healthcare delivery has underscored the necessity for digital consent processes that can be seamlessly integrated into virtual care platforms.

The market is also witnessing considerable momentum due to advancements in interoperability and integration capabilities. Modern AI-generated consent form platforms are designed to interface with electronic health records (EHRs), patient portals, and hospital information systems, enabling a unified and efficient workflow. This interoperability not only enhances the user experience for healthcare professionals but also empowers patients to access, review, and sign consent documents remotely. The proliferation of mobile health applications and wearable devices further creates new touchpoints for digital consent, expanding the market’s reach across diverse healthcare settings. As healthcare organizations seek to improve patient engagement and operational efficiency, the adoption of AI-driven consent solutions is expected to accelerate.

From a regional perspective, North America currently leads the AI-Generated Medical Consent Form market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The presence of advanced healthcare infrastructure, early adoption of digital health technologies, and a strong regulatory focus on patient rights contribute to North America’s dominance. However, Asia Pacific is emerging as a high-growth market, driven by rapid healthcare digitization, government initiatives to improve healthcare access, and a burgeoning patient population. Latin America and the Middle East & Africa are also witnessing increased adoption, albeit at a slower pace, as healthcare systems in these regions modernize and embrace digital transformation.

Component Analysis

The AI-Generated Medical Consent Form market is segmented by component into software and services. The software segment dominates the market, driven by the proliferation of advanced AI-powered platforms that facilitate the creation, management, and storage of digital consent forms. These software solutions leverage sophisticated algorithms to ensure compliance with legal and ethical standards, while also offering cu

This chart illustrates the online privacy protection measures used by Polish internet users in 2013 and 2016. In that period, the most common security measure was antivirus software. In the last three years there has been an increase in the use of other security forms related to browsing, such as browsing history cleaning, deleting cookies and using browsers in private mode. It is worth noting that the percentage of people who declared that they do not publish their photos on the internet increased significantly (+** percentage points).

AI-Generated Medical Consent Form Market Outlook

According to our latest research, the global AI-Generated Medical Consent Form market size reached USD 1.14 billion in 2024, reflecting a robust adoption of AI technologies across healthcare documentation. The market is poised to grow at a CAGR of 21.7% from 2025 to 2033, with the forecasted market size expected to reach USD 8.43 billion by 2033. This remarkable growth is primarily driven by the increasing demand for digital transformation in healthcare, the need for enhanced patient data security, and the rising complexity of regulatory compliance worldwide.

One of the most significant growth factors in the AI-Generated Medical Consent Form market is the urgent need for efficiency and accuracy in healthcare documentation. Traditional consent processes are often paper-based, time-consuming, and susceptible to human error, which can lead to legal complications and patient dissatisfaction. AI-generated solutions automate the creation, customization, and management of consent forms, ensuring compliance with evolving medical regulations and standards. These platforms can rapidly adapt to new legal requirements, translate forms into multiple languages, and personalize content based on patient demographics or specific clinical scenarios, thereby improving both workflow efficiency and patient comprehension. The growing emphasis on patient-centric care, coupled with the necessity for error-free documentation, has significantly accelerated the adoption of AI-driven consent solutions globally.

Another key driver for market expansion is the surge in telemedicine and remote healthcare services, especially post-pandemic. As healthcare providers increasingly deliver services beyond traditional clinical settings, the demand for secure, accessible, and legally compliant electronic consent solutions has surged. AI-generated consent forms can be integrated seamlessly into telemedicine platforms, enabling patients to review, understand, and sign documents remotely. This not only facilitates broader access to healthcare but also ensures that providers maintain robust legal and ethical standards. Moreover, AI-powered analytics embedded within these systems can track patient engagement and comprehension, offering insights that help providers tailor communication strategies and further reduce risks associated with consent misunderstandings.

The market is also benefiting from heightened regulatory scrutiny and the proliferation of data privacy laws such as GDPR, HIPAA, and similar frameworks in Asia Pacific and Latin America. These regulations require healthcare providers to ensure explicit, informed consent for the collection and use of patient data. AI-generated consent form solutions are uniquely positioned to address these requirements by automating compliance checks, maintaining detailed audit trails, and updating consent language in real time as regulations evolve. As healthcare organizations face increasing penalties for non-compliance, investment in AI-driven consent technologies has become a strategic imperative. This trend is expected to intensify as global regulators introduce stricter standards for patient data protection and informed consent.

In addition to consent forms, the integration of AI-Generated Patient Intake Chatbot systems is revolutionizing the patient onboarding process. These chatbots are designed to streamline the initial stages of patient interaction by automating the collection of essential information such as medical history, insurance details, and personal data. By reducing the administrative burden on healthcare staff, these AI-driven tools enhance efficiency and accuracy, ensuring that patient data is captured correctly and securely. Furthermore, these chatbots can provide real-time assistance and answer patient queries, improving the overall patient experience and satisfaction. As healthcare providers continue to embrace digital transformation, the adoption of AI-Generated Patient Intake Chatbots is expected to grow, further optimizing patient intake processes and contributing to the overall efficiency of healthcare delivery.

From a regional perspective, North America currently leads the AI-Generated Medical Consent Form market, accounting for the largest share in 2024, driven by early adoption of digital health technologies, strong regulatory frame