In the second half of 2022, all user data requests issued to Microsoft by law enforcement agencies in the Dominican Republic resulted in the disclosure of only subscriber or transactional data, excluding content data. In the Lithuania, over 90 requests ended up with partial disclosure.

During the first half of 2024, there were a total of ****** data requests for X (formerly Twittter) account information from governments with ***** of these were requested by the United States government. A further ***** were requested by the Japanese government, while ***** were requested by the European Union. Overall, ***** percent of these requests resulted in data being disclosed to the relevant authorities.

Between July and December 2023, Facebook received one request for user data from the Russian government. After a peak of 33 total requests in the first half of 2021, the requests for user data from the Russian government have steadily decreased. Total requests include requests for data needed for legal processes, as well as emergency requests.

NOTE: The 311 dataset is currently showing incorrect values in the "Agency Name" column. Please use the "Agency" column in the interim while this is being resolved.

All 311 Service Requests from 2010 to present. This information is automatically updated daily.

Information on all MC311 Service Requests received (via email or phone) since July 1, 2012. This data is updated daily. The PIO’s business requirement includes adding the following data elements to the new and enhanced open data site being proposed by DTS. This data is derived from requests for service which originate in the CSC, from the County’s web portal, and via “walk-ins” from county departments including but not limited to DHCA. • SLA – to indicate the number of days in county business days the department has to fulfill the request. County business days must exclude weekends, county holidays and days when the county is closed due to inclement weather (snow days, etc) per CountyStat’s business requirement. This field has been published in the existing MC311 Service Requests dataset with the field name ‘Attached Solution SLA Days’. • +/- SLA –to indicate the number of days a service request is over or under SLA as is currently measured by CountyStat. The following 4 fields will be added to fulfill this line item  # of days open – Number of County Business days the Service Request has been opened.  Within SLA Window? - To indicate the number of days a service request is over or under SLA as is currently measured by CountyStat.  SLA Yes – Number of days to fulfill the service request is under the SLA window.  SLA No -– Number of days to fulfill the service request is over the SLA window.

Making a freedom of information request https://myaccount.northyorks.gov.uk/foi/request If the information you are requesting is not available already, and relates to one of our services, you can make a request for information using our online form. Make an freedom of information request We generally reply to requests by email, but if you would like the information in any specific format let us know when you make your request. We will respond as soon as possible and within 20 working days. After submitting a request Your request will be passed on to the relevant service area, who will be responsible for replying to you. We will always provide as much information as possible, but there are rules that allow us to withhold certain types of information. For example, if providing the information would infringe someone else's privacy or, if the information you have asked for is not environmental, would take longer than 18 hours to acquire. If we are unable to provide any information we will explain why. See additional information on the reasons why we might not be able to provide information. We publish our data so citizens can see how we work and where money is spent. The data is published in an accessible format and can be freely reused in accordance with the open data licence.

An Electronic Repository created to streamline the storing/recording of various Security Requests, including SSA-120s/1121s, ATSAFE-613, E-mails, etc

This dataset lists suggestions received through the CT Open Data Dataset Suggestion survey here: https://data.ct.gov/stories/s/eivh-c3ze.

According to OnlyFans transparency reports, in February 2025, the platform received *** inquires for data requests from law enforcement agencies and NGOs worldwide. This represents an increase from January 2023, when the platform received ** requests from agencies based in the United States, ** requests from global institutions, as well as ** requests submitted by agencies based in the United Kingdom.

Every day, thousands of people in our region are struggling to put food on the table, keep the lights on, and keep a roof over their head. 2-1-1 is a 24/7 telephone helpline (also available via text and chat) that helps prevent hunger, utility shut-offs and homelessness when people have nowhere else to turn. During each call, our Resource Navigators skillfully identify an individual’s immediate needs and connect them to services and resources that address the full spectrum of needs discovered through a thoughtful and compassionate conversation.

Data Subject Access Request (DSAR) Software Market Outlook

The global Data Subject Access Request (DSAR) Software market size was valued at approximately USD 1.2 billion in 2023 and is projected to grow to USD 3.5 billion by 2032, boasting a compound annual growth rate (CAGR) of 12.5% during the forecast period. This growth is largely driven by increasing regulatory demands for data privacy and protection across various sectors. With the exponential rise in data generation and the necessity for organizations to comply with regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), the demand for efficient DSAR software solutions is expected to see substantial growth.

One of the primary factors propelling the growth of the DSAR software market is the escalating need for data privacy and protection in an increasingly digital world. As more businesses transition to digital platforms and rely on data analytics to drive decision-making, the volume of personal data being collected has surged. This has heightened the risk of data breaches and unauthorized access to sensitive information, prompting governments worldwide to enact stringent data privacy laws. Consequently, organizations are compelled to adopt DSAR software to ensure compliance with these regulations and to manage consumer requests for data access effectively, driving market growth.

Another significant growth factor is the increasing consumer awareness and demand for transparency regarding how their personal data is used and stored. Consumers are becoming savvy about their data privacy rights and are more likely to request access to their personal data. This demand for transparency is encouraging businesses to implement DSAR software solutions that facilitate seamless and efficient data access requests. By providing consumers with confidence that their data is managed responsibly, organizations can enhance their reputation and build trust, which is critical in maintaining customer relationships and loyalty.

The rapid advancements in technology and the integration of artificial intelligence (AI) and machine learning (ML) in DSAR software are also contributing to market growth. These technological innovations are enabling more sophisticated data processing and automation of DSAR processes, resulting in improved accuracy and efficiency. By leveraging AI and ML capabilities, DSAR software can offer predictive analytics, automated workflows, and enhanced data management, which are particularly beneficial for large enterprises dealing with vast volumes of data. This technological evolution is expected to further augment the adoption of DSAR software across various industries.

Regionally, North America holds a dominant position in the DSAR software market, largely due to the early adoption of advanced technologies and stringent data privacy regulations in the region. Europe's market is also experiencing substantial growth, driven by the rigorous enforcement of GDPR, which has encouraged enterprises to invest in robust DSAR solutions. Meanwhile, the Asia Pacific region is anticipated to exhibit the fastest growth rate over the forecast period, attributed to the burgeoning digital economy and increasing regulatory pressures in countries like India and China. These regional dynamics underscore the global demand for DSAR software and the varied factors influencing its adoption across different geographies.

Component Analysis

The DSAR software market can be divided into two primary components: software and services. The software segment encompasses a variety of solutions designed to facilitate the management of data access requests, ensuring compliance with privacy laws and regulations. These software solutions often include features such as data mapping, request tracking, automated workflow management, and reporting capabilities. The growing complexity of data privacy regulations is driving demand for comprehensive software solutions that can efficiently handle these requirements, thereby boosting the growth of this segment.

Within the software component, there is an increasing focus on developing user-friendly interfaces and customizable features that cater to the specific needs of different industries. Software vendors are investing significantly in research and development to enhance the functionality of their offerings, integrating advanced technologies such as AI and ML to provide predictive analytics and automate repetitive tasks. This not only improves operational efficiency but also reduces the risk of human error, making software solutions more appeal

This dataset contains data allowing service providers to view service request information provided by individual Health Care Providers (HCPs) and consortia applying for funding through the Rural Health Care (RHC) Program. The data is collected from the FCC Forms 461 and 465, which includes the service request information.

All data contained within the FCC Form 461 (Request for Services Form, Health Care Connect Fund (HCF) program) and 465 (Description of Services Requested & Certification Form, Telecommunications program) is self-reported by applicants to RHC.

FOIA requests received by 311 as of May 1, 2010

Click "Download" to view and fill out the raw data request form. Once completed, submit the form via email to RIDOH.DOSPDataRequest@health.ri.gov and a member of our team will follow up. Please note that this form is meant for row-level data requests only and any summary/aggregate data can be requested using out aggregate data request form. For more information about the data request process, visit our data request page.

See "About" for field info. This dataset shows the percentage of records requests responded to within 5 days. For full dataset, see: https://opendata.lasvegasnevada.gov/High-Performing-Government/Public-Records-Requests/bem4-nmqa/data

Customer initiated service requests received by 3-1-1 Contact Centre from 2022. Service requests refer only to those call types that generate a requ​​es​​t to a City of Vancouver department to provide service.This dataset contains location information such as address or intersection where service was requested and the local area corresponding to the case (incident) location. ​Due to the volume of records, we segmented the service requests data into multiple datasets. See 3-1-1 service requests 2009-2021 dataset for records from 2009 to 2021.​ Note​The 3-1-1 case management system started collecting case service requests data on June 1, 2009. The system was upgraded on August 17, 2022. Department, Division or Call Types beginning with ZZ – OLD refers to obsolete types used in the past. Generally, another call type within the same division, or another division within the same department replaced the obsolete type. When reviewing case location data spatially, consideration should be given to the City’s urban attributes such as vegetation density, population density, age of infrastructure asset, area specific bylaws, etc. Some case types are associated with city locations.​ Data currency​Records on or after August 17, 2022 are refreshed daily. Records prior to this date are static.​ Data accuracyData are electronically extracted from the 3-1-1 case management system.Address data of some selected service request types is not disclosed to provide privacy protection.There may be addresses that do not return coordinates in the gecoding process. These records will appear in the Table view but not on the Map.​​ Websites for further informationContact the City of Vancouver​

As described in https://data.cityofchicago.org/stories/s/311-Dataset-Changes-12-11-2018/d7nq-5g7t, the function of this dataset was replaced by https://data.cityofchicago.org/d/v6vf-nfxy. This dataset is historical-only.

All 311 calls for open and vacant buildings reported to the City of Chicago since January 1, 2010. The information is updated daily with the previous day's calls added to the records. The data set provides the date of the 311 service request and the unique Service Request # attached to each request. For each request, the following information (as reported by the 311 caller) is available: address location of building; whether building is vacant or occupied; whether the building is open or boarded; entry point if building is open; whether non-residents are occupying or using the building, if the building appears dangerous or hazardous and if the building is vacant due to a fire.

In the first half of 2023, almost 10 thousand user account data requests were received by Apple from law enforcement agencies in the United States, making the country first worldwide by the number of user data requests. Brazil ranked second, with 3,200 issued requests. Furthermore, the law enforcement agencies in Germany issued 1,660 requests in the measured period.

Service request data from MyLA311. This includes requests submitted via 3-1-1, call centers, email, mobile apps, website, and other sources.

To comply with the Data Protection Acts 1988-2018 and the GDPR.