Google Suite is an umbrella Information System by which USAID receives multiple Google services per USAID's subscription contract. Business services include but are not limited to: Business email through Gmail, Video and voice conferencing, Secure team messaging, Shared calendars, Documents, spreadsheets, and presentations, Unlimited cloud storage, and Smart search across G Suite with Cloud Search. Security and administration controls include: Control how long your email messages and on-the-record chats are retained. Specify policies for your entire domain or based on organizational units, date ranges, and specific terms. Archive and set retention policies for emails and chats, Security center for G Suite, eDiscovery for emails, chats, and files, Audit reports to track user activity, Data loss prevention for Gmail, Data loss prevention for Drive Hosted S/MIME for Gmail, Integrate Gmail with compliant third-party archiving tools, Enterprise-grade access control with security key enforcement, and Gmail log analysis in BigQuery

According to a January 2021 survey of adults worldwide, 66 percent of total respondents agreed on feeling that tech companies hold too much control over their personal data, while only six percent expressed disagreement with the statement. Consumers based in Spain, the United Kingdom, and the United States reported higher levels of concern over data control, with more than seven in ten people feeling that tech companies have too much control over their personal information. While surveyed consumers in Sweden, China, and Indonesia appeared to agree the least with the statement, still more than five in ten reported feeling that tech companies have too much control over their data.

Questionable ethics and security breaches put tech companies under scrutiny

Tech giants, and big tech in particular have been under focus in recent years when it comes to data privacy and consumer-related ethics. While Google has been recipient of not one, but a number of antitrust fines from the EU dating back to 2017, tech giant Yahoo fell victim to various data breaches that resulted in the exposure of 3 billion consumer records in total to date.

User skepticism is growing

No wonder public trust has faltered. The rise of ad-blockers, VPNs and privacy search engines show that consumers are more eager than ever to protect their data online. In the United States, alternative search engine DuckDuckGo saw a surge in popularity from April 2020 - around the start of the COVID-19 pandemic. Meanwhile, over half of those surveyed in the UK said that the public exposure of recent data breaches had impacted their willingness to share personal information. The global pandemic has also hit the tech industry, with companies in the tourism sector taking the biggest blow. Booking.com laid off the highest number of employees during 2020, a total of 4375 members of staff.

In 2022, the majority of respondents stated using Virtual Private Network (VPN) as implementation of security controls for cloud sensitive data protection. The implementation of VPN as security controls was mostly managed internally.

Data that is collected at the individual-level from mobile phones is typically aggregated to the population-level for privacy reasons. If we are interested in answering questions regarding the mean, or working with groups appropriately modeled by a continuum, then this data is immediately informative. However, coupling such data regarding a population to a model that requires information at the individual-level raises a number of complexities. This is the case if we aim to characterize human mobility and simulate the spatial and geographical spread of a disease by dealing in discrete, absolute numbers. In this work, we highlight the hurdles faced and outline how they can be overcome to effectively leverage the specific dataset: Google COVID-19 Aggregated Mobility Research Dataset (GAMRD). Using a case study of Western Australia, which has many sparsely populated regions with incomplete data, we firstly demonstrate how to overcome these challenges to approximate absolute flow of people around a transport network from the aggregated data. Overlaying this evolving mobility network with a compartmental model for disease that incorporated vaccination status we run simulations and draw meaningful conclusions about the spread of COVID-19 throughout the state without de-anonymizing the data. We can see that towns in the Pilbara region are highly vulnerable to an outbreak originating in Perth. Further, we show that regional restrictions on travel are not enough to stop the spread of the virus from reaching regional Western Australia. The methods explained in this paper can be therefore used to analyze disease outbreaks in similarly sparse populations. We demonstrate that using this data appropriately can be used to inform public health policies and have an impact in pandemic responses.

The Intelligent Content Risk Control Platform market is experiencing robust growth, driven by the increasing need for robust security measures in a world of rapidly expanding digital content and escalating cyber threats. The market, estimated at $15 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $50 billion by 2033. This growth is fueled by several key factors: the rising adoption of cloud-based solutions across various industries, the increasing sophistication of cyberattacks targeting sensitive information, and stringent regulatory compliance mandates necessitating advanced content security measures. Key application segments like the financial and education industries are significant contributors to this growth, exhibiting higher adoption rates due to their sensitive data handling requirements. The prevalence of cloud-based platforms is also a significant market driver, offering scalability, cost-effectiveness, and accessibility compared to on-premises solutions. The market landscape is characterized by a blend of established technology giants like Google, Amazon, Microsoft, and IBM, alongside specialized security firms such as Clarifai, Zvelo, SentinelOne, and Tencent. Competition is intense, with companies focusing on differentiation through innovative features, advanced AI-powered threat detection, and robust integration capabilities. While the market faces certain restraints, such as high initial investment costs for some solutions and the complexity of implementation, the overall growth trajectory remains positive. Geographic expansion, particularly in rapidly developing economies in Asia Pacific and regions with growing digitalization, presents significant opportunities for market players. North America currently holds the largest market share due to early adoption and a high concentration of technology companies. However, other regions are expected to witness significant growth in the coming years. The continued evolution of AI and machine learning will further shape the market, leading to more sophisticated and effective content risk control solutions.

The G Suite (now Google Workspace) administration software market, currently valued at $700 million in 2025, is projected to experience robust growth, driven by the increasing adoption of cloud-based collaboration tools and the rising need for enhanced security and management capabilities within organizations. A compound annual growth rate (CAGR) of 4.4% from 2025 to 2033 suggests a steady expansion, reaching an estimated market size of approximately $1,000 million by 2033. This growth is fueled by several key factors. Firstly, the increasing complexity of managing multiple Google Workspace accounts and services necessitates sophisticated administration tools. Secondly, the growing emphasis on data security and compliance regulations is pushing organizations to invest in robust solutions to control access, monitor usage, and ensure data protection. Furthermore, the rising demand for streamlined workflows and improved productivity across various departments within organizations fuels the adoption of these administrative tools. The competitive landscape features a mix of established players like Google itself, SolarWinds, and Freshworks, alongside emerging specialized providers like Sheetgo and Bitium, all vying for market share with differentiated offerings and functionalities. This competitive environment encourages innovation and drives the development of more advanced features, ultimately benefiting end-users. The market segmentation is likely to show a strong correlation between company size and software adoption. Larger enterprises often require more comprehensive solutions with advanced features for granular control and detailed reporting, while smaller businesses may opt for simpler, more cost-effective tools. Geographic distribution will likely show strong adoption in North America and Europe, reflecting the higher concentration of businesses and advanced IT infrastructure in these regions. However, emerging economies are also showing increasing adoption rates, driven by increasing digitalization and cloud adoption. Potential restraints include the initial investment costs associated with implementing new software and the learning curve for administrators unfamiliar with these tools. However, the long-term benefits in terms of efficiency, security, and compliance are likely to outweigh these initial barriers, sustaining the market's growth trajectory.

The Google Workspace Administration Software market is experiencing robust growth, driven by the increasing adoption of cloud-based solutions and the need for streamlined management of Google Workspace deployments across organizations of all sizes. The market's expansion is fueled by several key factors, including enhanced security features, improved collaboration tools, and the rising demand for efficient IT management solutions. Businesses are increasingly recognizing the benefits of centralized administration, allowing them to effectively control user access, permissions, and data security within their Google Workspace environments. This translates into significant cost savings through reduced IT overhead and improved productivity. The market is segmented by organizational size (small, medium, and large enterprises), industry vertical, and geographic region, with significant growth anticipated across all segments. Competition is relatively high, with a mix of established players like Freshworks and emerging startups offering specialized solutions. The continued innovation in Google Workspace features and the expanding integration capabilities of third-party administration tools are expected to further propel market growth in the coming years. The forecast period of 2025-2033 shows a promising outlook for the Google Workspace Administration Software market. While specific market size figures for 2025 aren't provided, a reasonable estimation, given the current market trends and the prevalence of cloud adoption, would place the market size at approximately $1.5 billion in 2025. A conservative compound annual growth rate (CAGR) of 15% is projected through 2033, considering factors like increasing competition, economic fluctuations, and the potential for market saturation in certain regions. This would result in substantial market expansion over the forecast period. Challenges such as the complexity of managing large-scale deployments, the need for continuous security updates, and the integration with existing IT infrastructure remain key considerations for market participants. Nevertheless, the long-term prospects for Google Workspace administration software remain positive due to its crucial role in optimizing organizational efficiency and security.

The Intelligent Content Risk Control Platform market is experiencing robust growth, driven by the increasing volume and sophistication of cyber threats targeting digital content across diverse industries. The market, estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $50 billion by 2033. This expansion is fueled by several key factors. Firstly, the growing adoption of cloud-based solutions and the rise of big data necessitate robust security measures to mitigate risks associated with sensitive data breaches and intellectual property theft. Secondly, stringent regulatory compliance requirements, particularly within the financial and education sectors, are driving demand for advanced content risk control platforms. Finally, the increasing sophistication of cyberattacks, including AI-powered threats, necessitates proactive and adaptive security solutions that can identify and neutralize evolving risks. The market is segmented by application (Financial, Education, and Others) and type (Cloud-Based and On-Premises), with the cloud-based segment dominating due to its scalability and cost-effectiveness. Key players like Google, Amazon, Microsoft, and IBM are investing heavily in research and development, fostering innovation within the space. However, factors such as high initial investment costs and the complexity of integrating these platforms into existing systems could potentially restrain market growth. Geographic distribution reveals North America as the leading market currently, owing to its advanced technological infrastructure and stringent data security regulations; however, rapid growth is anticipated in the Asia-Pacific region driven by increasing digital adoption and economic development. The competitive landscape is characterized by a mix of established tech giants and specialized cybersecurity firms. While large companies leverage their existing infrastructure and resources to offer comprehensive solutions, smaller players often excel in niche areas, providing specialized functionalities. The market's future trajectory is promising, with continuous advancements in artificial intelligence, machine learning, and blockchain technology expected to further enhance the capabilities of intelligent content risk control platforms. Ongoing technological advancements coupled with a rising awareness of cyber threats will continue to drive market growth in the coming years. Strategic partnerships and acquisitions are expected to shape the market landscape, further consolidating the position of dominant players while simultaneously creating opportunities for emerging companies to gain market share.

The size of the Data Privacy Software Market was valued at USD 2.76 USD Billion in 2023 and is projected to reach USD 25.26 USD Billion by 2032, with an expected CAGR of 37.2% during the forecast period significant growth driven by the increasing demand for compliance with privacy regulations, the growing awareness of data privacy rights, and the rampant adoption of cloud computing. The demand for comprehensive data privacy software solutions is further propelled by the rising instances of data breaches, the need to protect sensitive customer and employee data, and the escalating use of data analytics. Recent developments include: November 2023 – Protiviti India entered a partnership with Riskconnect to help companies in India bring all aspects of risk under one roof through an integrated risk management technology., July 2023 – Trust Arc introduced a new Truste EU-U.S. data privacy framework verification to help businesses transfer personal data from the EU to the U.S. in compliance with the EU and GDPR laws., April 2023 – Avepoint and Tech Data expanded their partnership for providing Microsoft 365 data management solutions in Japan and Asia Pacific. The extended partnership will cover Indonesia, India, Vietnam, Malaysia, Singapore, and Hong Kong., January 2023 - Sourcepoint launched a solution, Vendor Trace, to offer enterprises with a flexible evaluation of vendor behavior on their websites. With the help of Vendor Trace, users can isolate susceptibilities in third-party advertising and marketing technologies and determine the responsible parties., September 2022 - BigID launched data deletion abilities to minimize risk and accelerate compliance. The new advancement permits enterprises to effectively and quickly delete sensitive and personal data across various data stores such as Google Drive, AWS, Teradata, and others., October 2022 - Securiti launched the first Data Control cloud that facilitates enterprises with key obligations over data privacy, security, compliance, and governance. The new offerings developed a combined layer of data intelligence and controls across various clouds, such as public cloud, private cloud, data clouds, and SaaS. , March 2022 - AvePoint announced the addition of ransomware detection to its data protection proficiencies. The new addition proactively identifies apprehensive behavior within Microsoft’s OneDrive while reducing disruption to collaboration and productivity. Other features included in ransomware detection are faster investigation, early event detection, and quicker restoration of backup data.. Key drivers for this market are: Rising Adoption of IoT Devices to Aid Global Data Privacy Software Market Growth. Potential restraints include: Low Awareness and Insufficient Knowledge About Software Impede Industry Growth. Notable trends are: Integration of AI and ML to Surge Demand for Data Privacy Solutions.

Google Workspace for Market Outlook

In 2023, the global market size for Google Workspace is estimated to be around $12 billion, with a robust compound annual growth rate (CAGR) of 18.5% forecasted to reach approximately $41.1 billion by 2032. This remarkable growth is driven by the increasing adoption of cloud-based solutions, the rise in remote work culture, and the necessity for real-time collaboration tools across various industries.

One of the primary growth factors for the Google Workspace market is the paradigm shift towards remote working environments, accelerated by the global pandemic. Organizations across the globe have recognized the need for efficient online collaboration tools to maintain productivity. Google Workspace, with its integrated suite of applications such as Gmail, Google Drive, and Google Meet, has become an essential tool for enabling remote work. The seamless integration of these tools ensures that employees can communicate and collaborate effectively, regardless of their physical location.

Another significant growth driver is the digital transformation initiatives undertaken by enterprises of all sizes. Companies are increasingly leveraging cloud-based solutions to enhance agility, scalability, and cost-efficiency. Google Workspace, with its cloud-native architecture, aligns perfectly with these transformation goals. Its ability to provide real-time updates, ensure data security, and support diverse business processes makes it a preferred choice for enterprises looking to modernize their IT infrastructure.

Furthermore, the emphasis on data security and regulatory compliance has bolstered the adoption of Google Workspace. With growing concerns about data breaches and stringent regulatory requirements, organizations are seeking robust solutions that can safeguard their information while ensuring compliance. Google Workspace offers advanced data protection features, including encryption, secure access controls, and compliance certifications, making it a trusted platform for businesses in highly regulated sectors such as BFSI and healthcare.

In the finance sector, Google Workspace for Finance Software is becoming an indispensable tool for managing complex financial operations. The suite's robust security features and compliance with financial regulations make it a trusted choice for financial institutions. By integrating tools like Google Sheets and Google Drive, finance professionals can collaborate on financial models, share sensitive data securely, and ensure real-time updates across teams. This seamless integration supports the dynamic nature of financial markets, where timely decision-making is crucial. As the finance industry continues to evolve with digital transformation, Google Workspace for Finance Software is poised to play a pivotal role in enhancing operational efficiency and data management.

From a regional perspective, North America is expected to dominate the Google Workspace market during the forecast period, driven by the high concentration of tech-savvy enterprises and the strong presence of Google. The Asia Pacific region is anticipated to exhibit the highest growth rate, fueled by the rapid digitalization of businesses, increased smartphone penetration, and a burgeoning startup ecosystem. Europe, Latin America, and the Middle East & Africa are also projected to contribute significantly to market growth, albeit at varying rates, influenced by factors such as economic conditions, technological infrastructure, and regulatory landscapes.

Component Analysis

Gmail, one of the most widely used components of Google Workspace, continues to be a cornerstone of business communication. Its intuitive interface, robust spam filtering, and seamless integration with other Google Workspace tools make it a preferred choice for millions of users worldwide. The continuous updates and enhancements, such as improved security features and AI-driven functionalities, ensure that Gmail remains relevant and efficient in meeting the evolving communication needs of businesses.

Google Drive is another critical component, offering cloud storage solutions that enable users to store, share, and collaborate on files effortlessly. The ability to access files from any device, coupled with advanced sharing controls and real-time collaboration features, makes Google Drive indispensable for businesses looking to streamline their document management processes. The gro

In an effort to help combat COVID-19, we created a COVID-19 Public Datasets program to make data more accessible to researchers, data scientists and analysts. The program will host a repository of public datasets that relate to the COVID-19 crisis and make them free to access and analyze. These include datasets from the New York Times, European Centre for Disease Prevention and Control, Google, Global Health Data from the World Bank, and OpenStreetMap. Free hosting and queries of COVID datasets As with all data in the Google Cloud Public Datasets Program , Google pays for storage of datasets in the program. BigQuery also provides free queries over certain COVID-related datasets to support the response to COVID-19. Queries on COVID datasets will not count against the BigQuery sandbox free tier , where you can query up to 1TB free each month. Limitations and duration Queries of COVID data are free. If, during your analysis, you join COVID datasets with non-COVID datasets, the bytes processed in the non-COVID datasets will be counted against the free tier, then charged accordingly, to prevent abuse. Queries of COVID datasets will remain free until Sept 15, 2021. The contents of these datasets are provided to the public strictly for educational and research purposes only. We are not onboarding or managing PHI or PII data as part of the COVID-19 Public Dataset Program. Google has practices & policies in place to ensure that data is handled in accordance with widely recognized patient privacy and data security policies. See the list of all datasets included in the program

The Data Lake Storage market is experiencing robust growth, driven by the exponential increase in data volume and variety across industries. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching approximately $250 billion by 2033. This expansion is fueled by the rising adoption of cloud-based solutions offering scalability, cost-effectiveness, and enhanced data accessibility. Key drivers include the increasing need for advanced analytics, real-time insights, and improved decision-making capabilities. Businesses across all sectors – from large enterprises to SMEs – are leveraging data lakes to consolidate diverse data sources, fostering innovation and strategic planning. The shift towards cloud-based data lake storage is particularly noteworthy, surpassing on-premises solutions due to its flexibility and pay-as-you-go pricing models. However, challenges such as data security concerns, the complexity of data governance, and the need for skilled professionals to manage and analyze data remain potential restraints to market growth. The segmentation reveals a significant preference for cloud-based solutions across all enterprise sizes. Despite these challenges, ongoing technological advancements in areas like data encryption, access control, and automated data management tools are mitigating risks and driving adoption. The competitive landscape is highly dynamic, with major players like Microsoft, Amazon, Snowflake, Google, and others constantly innovating to enhance their offerings. Geographical distribution shows a significant market presence in North America and Europe, followed by Asia Pacific, reflecting the concentration of technological advancement and early adoption in these regions. However, emerging economies in Asia and Africa present significant growth opportunities for the future, as organizations in these regions increasingly recognize the value of data-driven decision making and invest in data lake infrastructure. The forecast period (2025-2033) is expected to witness a substantial surge in market value due to increased adoption across various sectors and geographies.

Abstract

This data set contains flight data from Loon, a Google project and later an Alphabet subsidiary that provided wireless internet access to rural areas using high-altitude balloons.

Usage

This is data that has been processed from the raw data available on Zenodo. The raw data has a doi: https://doi.org/10.5281/zenodo.5119968 and is available at the link below.

Documentation

# Loon Flight Data

This data set contains flight data from Loon, a Google project and

later an Alphabet subsidiary that provided wireless internet

access to rural areas using high-altitude balloons. The data set

includes GPS and sensor data from all 2,131 flights across the

project's entire nine-and-a-half year history, from the first sounding

balloon experiment in August 2011 through the last balloon landing in

May 2021. In total the data set comprises over 218 flight-years of

data (over 127 million telemetry points), the vast majority from

altitudes between 50 and 110 hPa (approximately 15.5 to 21 km above

sea level).

## Data

The dataset contains the following fields:

* **flight_id:** unique identifier representing the flight.

* **time:** time measurements were taken, in UTC based on GPS.

* **latitude:** degrees latitude, in the range [-90, 90].

Uncertainty ±2.5 m based on GPS.

* **longitude:** degrees longitude, in the range [-180, 180).

Uncertainty ±2.5 m based on GPS.

* **altitude:** geometric altitude, in meters above mean sea

level. Measured at the payload (i.e. the bottom of the

balloon). Uncertainty ±2.5 m based on GPS.

* **temperature:** ambient temperature, in degrees Kelvin.

Uncertainty ±5 K during day, ±2 K during night.

* **pressure:** ambient atmospheric pressure, in

hectopascals. Uncertainty ±1 hPa. Measured at the payload

(i.e. the bottom of the balloon)

* **earth_ir:** upward long-wave radiative flux, in Watts per meter squared.

See notes below.

* **earth_ir_sensor_config:** Denotes sensor configuration type

(i.e. where located on the balloon). See notes below.

* **acs:** Altitude Control System state: 1 if ascending (increasing

altitude), -1 if descending (decreasing altitude).

* **propeller_on:** 1 if a propeller is providing lateral thrust,

otherwise 0. If 1 then velocity_u and velocity_v will not be computed.

The following derived fields are computed from the base fields listed

above and are provided for convenience. See notes below for details on

how they are computed.

* **velocity_u:** Zonal (west-to-east) component of balloon velocity,

in meters per second.

* **velocity_v:** Meridional (south-to-north) component of balloon

velocity, in meters per second.

* **omega:** Vertical velocity, in hectopascals/second.

* **acceleration:** Average change in horizontal velocity over the

sliding window used to compute balloon velocity, in meters per second

squared.

* **solar_elevation:** Angle of sun, in degrees relative to horizontal.

* **solar_azimuth:** Angle of sun, clockwise relative to North.

* **is_daytime:** 1 if sun is visible from balloon (i.e. not occluded by

the horizon), otherwise 0.

### Notes

Data is sampled at 1 Hz on the balloon, and the most recent telemetry

sample is downlinked every 10 seconds to 20 minutes (typically 1

minute) depending on configuration. Some filtering is performed on the

balloon.

#### flight_id

Flight ID is a unique identifier assigned to a particular flight, and

comprises a balloon class (usually a single letter) followed by a dash

and a number. Flights were usually flown in numerical order, though

sometimes a number would be skipped if a launch was scrubbed. Balloon

classes were as follows. The list does not include _Bluebird_,

_Condor_, _Dodo_, _Eagle_ and _Jay_ designs, which were limited-run

designs that were either never flown or brief flights with limited

telemetry. Starting in 2013 (Ibis) most envelopes were manufactured

by Raven Aerostar, though some experimental designs were still built

in-house.

Height, radius and mass ranges are given below (where

available). Height and radius are at float. _System mass_ is the

combined mass of payload and envelope mass. Starting with the Plover

design balloons also included between 5-25 kg of ballast that could be

dropped to extend the life of the balloon, and any ballast kept after

launch is included in system mass. _Lift-gas mass_ is the mass of lift

gas (Helium) at launch and does not account for leakage over time, nor

does it include air pumped into the ballonette for altitude control.

|Code |Class |Num Flights|Envelope Type |Height [m]|Radius [m]|System Mass [kg]|Lift gas mass [kg]|Years in service |Notes|

|-------|-------------|-----------|----------------|----------|----------|----------------|-------------------|----------|-----|

|Icharus|Icharus |12 |Latex sounding | |

The cloud data security software market is experiencing robust growth, driven by the increasing adoption of cloud computing and the rising concerns surrounding data breaches and regulatory compliance. The market, currently estimated at $20 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several key factors. Firstly, the proliferation of data generated by businesses necessitates robust security solutions. Secondly, stringent government regulations like GDPR and CCPA are forcing organizations to prioritize data protection. Thirdly, the shift towards hybrid and multi-cloud environments introduces new complexities that require specialized security measures. The market is segmented based on deployment (cloud, on-premises, hybrid), organization size (SMEs, large enterprises), and security function (data loss prevention, access control, encryption). Major players such as Google, Microsoft, Amazon Web Services, and IBM are investing heavily in research and development to enhance their offerings and capture market share. The competitive landscape is characterized by both established players and emerging startups, leading to innovation and increased choices for end-users. The continued growth in the cloud data security software market is expected to be driven by increased adoption of advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) for threat detection and response. Furthermore, the integration of cloud security solutions with existing IT infrastructure and the growing demand for managed security services are expected to contribute to the market's expansion. However, factors like the complexity of integrating multiple security solutions and the high cost of implementation could potentially hinder growth. Despite these challenges, the overall outlook for the cloud data security software market remains positive, with significant opportunities for growth over the forecast period. The market's evolution is closely tied to advancements in cloud technologies and the increasing sophistication of cyber threats, which necessitate continuous innovation and adaptation within the sector.

Since computers revealed the possibility to collect and evaluate large data, there has been a significant increase in studies measuring the impact of academics. This study aims to analyse International Relations scholars and departments in Turkey by using the data from Google Scholar citation counts. Through this measurement, the study will generate a new ranking list as alternative to existing measurement lists. To control outcomes, Google-generated ranking lists will be compared with data generated from Social Science Citation Index (SSCI). Thus, the study aims to make a data-based contribution to the quality assessment literature, which has become increasingly popular in Turkey. Günümüzde bilgisayarlar geniş verileri toplama ve değerlendirme imkanını ortaya çıkarınca, akademisyenlerin etkisini ölçmeyi hedefleyen çalışmalarda ciddi bir artış oldu. Elinizdeki çalışma da Google Scholar (GS) atıf sayısı verileri üzerinden Türkiye’deki Uluslararası İlişkiler akademisyenlerini ve bölümlerini analiz etmeyi hedeflemektedir. Yapılacak bu analiz ile, mevcut ölçme listelerine alternatif olarak akademisyen ve bölümlerin yeni bir sıralanması ortaya konulmaktadır. GS verilerinden hareketle elde edilen sonuçlar, kontrol amacıyla Social Science Citation Index (SSCI) veri tabanından derlenen makale sayıları ve atıflar ile karşılaştırılmıştır. Böylelikle çalışma Türkiye özelinde gittikçe kapsamlı bir hale gelen nitelik değerlendirme literatürüne verilere dayalı bir katkı yapmayı hedeflemektedir

This dataset is maintained by the European Centre for Disease Prevention and Control (ECDC) and reports on the geographic distribution of COVID-19 cases worldwide. This data includes COVID-19 reported cases and deaths broken out by country. This data can be visualized via ECDC’s Situation Dashboard . More information on ECDC’s response to COVID-19 is available here . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This dataset is hosted in both the EU and US regions of BigQuery. See the links below for the appropriate dataset copy: US region EU region This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate. Users of ECDC public-use data files must comply with data use restrictions to ensure that the information will be used solely for statistical analysis or reporting purposes.

The Hybrid Data Management Platform (HDMP) market, currently valued at $240 million in 2025, is poised for substantial growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 4.6% from 2025 to 2033. This growth is driven by the increasing need for organizations to manage data residing across diverse environments—on-premises, cloud, and edge—while ensuring data security, compliance, and efficient utilization. The rising adoption of hybrid cloud strategies, coupled with the explosion of data volumes and variety, fuels the demand for HDMP solutions that offer seamless data integration, governance, and analytics across these heterogeneous landscapes. Key market drivers include the need for improved data agility, cost optimization through efficient data storage and management, and enhanced data security in a complex IT infrastructure. Emerging trends like AI-powered data management, automation, and serverless architectures are further shaping the HDMP market, compelling vendors to innovate and adapt their offerings. While the market faces restraints such as the complexity of integrating disparate systems and the potential for high initial investment costs, the long-term benefits of improved data visibility, control, and efficiency outweigh these challenges, driving sustained market growth. The competitive landscape is characterized by a mix of established players like IBM, Cloudera, and AWS, and emerging niche providers specializing in specific aspects of hybrid data management. Companies are focused on developing solutions that offer enhanced data discoverability, automated data movement and tiering, and comprehensive data governance capabilities. Strategic partnerships and acquisitions are expected to play a crucial role in shaping the market dynamics, as vendors strive to expand their functionalities and market reach. The geographical distribution of the market is likely to be dominated by mature markets like North America and Europe, with emerging economies witnessing gradual growth fueled by increasing digitalization and adoption of cloud technologies. Future growth will depend on the success of vendors in simplifying the complexity of hybrid data management, providing cost-effective solutions, and meeting the evolving data management needs of organizations across various industries.

Rarely discussed about the Israel–Palestinian conflict is the antagonism that exists between the Palestinian leadership and the refugees. With the advent of the Oslo “peace process” in the 1990s, the antagonism began to escalate, for the process's key assumption became that the leadership would relinquish the refugees' right to return home so that Israel would be preserved as a majority Jewish state in exchange for the Palestinian leadership's sovereignty over the West Bank and Gaza Strip. Because the refugees’ return home would upset the demographic balance of a Jewish-majority state, they have become impossible figures for both Israel and for the Palestinian leadership's political frame, an “impossibility” that is taken for granted in dominant maps of Palestine/Israel. This article highlights some ways the refugees have refused this erasure by mapping onto the land their historical presence. Taking their use of Google Earth as a case study, it begins by providing background on Google Earth, situating the software's prehistory within Cold War battles for surveillance and control. It then points to some “cracks” Google Earth's introduction has presented the post–Cold War political scene with: namely, that nation-states are today stumbling to control with whom maps are shared, who can make them, and what they will look like. It then moves on to show how the refugees have taken advantage of the State of Israel's (as well as the Palestinian leadership's) inability to control the map, in the process rendering the geoweb a new battlefield in the conflict. I conclude with an analysis of how cartographically placing Israel's founding and perpetual violence at the fore, as the Palestinian refugees' counter-cartography does, can help to move forward the refugees' demands for justice. Key Words: counter-cartography, geoweb, Google, Palestine, qualitative GIS, social movements.

The Zero Trust Security market is experiencing robust growth, projected to reach $32.61 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 17.67% from 2025 to 2033. This significant expansion reflects the increasing adoption of cloud-based services, remote work models, and the escalating sophistication of cyber threats. Organizations are shifting away from traditional perimeter-based security models, recognizing the limitations in protecting increasingly distributed workforces and diverse data assets. The core drivers behind this market growth include the need for enhanced data protection, improved compliance with stringent industry regulations (like GDPR and CCPA), and the imperative to mitigate the risks associated with insider threats and advanced persistent threats (APTs). Leading vendors like Microsoft, Google, and Cisco are heavily investing in Zero Trust solutions, further fueling market expansion. The market segmentation is likely diverse, encompassing solutions like Software-as-a-Service (SaaS), Identity and Access Management (IAM), and Network Access Control (NAC), each catering to specific organizational needs. The competitive landscape is intense, characterized by both established players and innovative startups vying for market share. Continued growth in the Zero Trust Security market is expected throughout the forecast period (2025-2033), driven by several key factors. The increasing reliance on mobile devices and IoT integration within organizational infrastructures necessitates robust security measures. Furthermore, the rise of cloud-native applications and microservices architectures requires a paradigm shift towards granular access controls that align with Zero Trust principles. Challenges such as the complexity of implementation and the need for skilled cybersecurity professionals to manage these sophisticated systems are expected to be mitigated by ongoing technological advancements and the availability of managed security services. The market will likely witness further consolidation as larger players acquire smaller, more specialized firms, and the adoption of AI and machine learning capabilities will enhance the effectiveness and efficiency of Zero Trust solutions. Key drivers for this market are: Increasing Number of Data Breaches, Security Perimeter of an Organization not Being Limited to Workplace. Potential restraints include: Legacy Applications, Infrastructure, and Operating Systems Not Likely to Adopt Zero Trust Model. Notable trends are: Small and Medium Enterprises to Witness Major Growth.

The data monetization market is experiencing robust growth, projected to reach $4.17 billion in 2025 and expanding at a compound annual growth rate (CAGR) of 19.94% from 2025 to 2033. This significant expansion is driven by several key factors. The increasing volume and variety of data generated across industries, coupled with advancements in data analytics and machine learning, are creating new opportunities for organizations to extract valuable insights and generate revenue streams from their data assets. Growing regulatory pressures related to data privacy, such as GDPR and CCPA, are also prompting businesses to explore more sophisticated data monetization strategies, ensuring compliance while maximizing value. The rise of data marketplaces and the development of robust data security and privacy technologies are further facilitating this growth. Key players like Accenture, IBM, Google, and SAP are actively investing in and developing advanced data monetization solutions, further solidifying the market's trajectory. This rapid expansion isn't uniform across all segments. While the exact segment breakdown is unavailable, it's reasonable to assume a diverse landscape with distinct growth patterns across sectors like financial services (high value data, strong compliance needs), healthcare (sensitive data, privacy concerns), and telecommunications (massive data volume, potential for targeted advertising). Geographic variations will also exist, with regions like North America and Europe likely leading initially due to higher adoption rates of advanced technologies and stronger regulatory frameworks. However, developing economies in Asia and Latin America are expected to witness substantial growth in the coming years as digital transformation accelerates and data infrastructure improves. Restraints on market growth include data security concerns, challenges in data integration and management, and the need for robust data governance frameworks. Overcoming these challenges through robust security measures, improved data interoperability solutions, and clear ethical guidelines will be crucial for continued market expansion. Recent developments include: April 2024: Carv, a data layer platform that lets web3 gaming apps, AI companies, and gamers control and monetize their data, raised a USD 10 million series A round led by Tribe Capital and IOSG Ventures. The company differentiates itself by empowering users with data ownership and monetization rights, which are expected to support the market growth during the forecast period., February 2024: Tecnotree, a digital platform and service leader for AI, 5G, and cloud-native technologies, partnered with BytePlus, the enterprise arm of Bytedance, to transform wholesale enterprise monetization through the Tecnotree Moments campaign management program for CSPs. This collaboration plans to work toward B2B2X digital ecosystem management, showcasing the growth opportunity of AI and API monetization strategies for CSPs across the world.. Key drivers for this market are: Rapid Adoption of Advanced Analytics and Visualization, Increasing Volume and Variety of Business Data. Potential restraints include: Rapid Adoption of Advanced Analytics and Visualization, Increasing Volume and Variety of Business Data. Notable trends are: Large Enterprises to Hold Major Market Share.