This report provides a strategy to ensure that digital scientific data can be reliably preserved for maximum use in catalyzing progress in science and society.Empowered by an array of new digital technologies, science in the 21st century will be conducted in a fully digital world. In this world, the power of digital information to catalyze progress is limited only by the power of the human mind. Data are not consumed by the ideas and innovations they spark but are an endless fuel for creativity. A few bits, well found, can drive a giant leap of creativity. The power of a data set is amplified by ingenuity through applications unimagined by the authors and distant from the original field...

As of 2023, the United States ranked as the most digitally competitive country in the world. Digital competitiveness rankings aim to analyze a country's ability to adopt digital technologies and implement these technologies within enterprises and government organizations. Denmark, which had topped the ranking in 2022, placed fourth.

In 2024, spending on digital transformation (DX) is projected to reach 2.5 trillion U.S. dollars. By 2027, global digital transformation spending is forecast to reach 3.9 trillion U.S. dollars. What is digital transformation? Digital transformation refers to the adoption of digital technology to transform business processes and services from non-digital to digital. This encompasses, among others, moving data to the cloud, using technological devices and tools for communication and collaboration, as well as automating processes. What is driving digital transformation? Digital transformation growth is due to several contributing factors. Among these was COVID-19 pandemic, which has increased the digital transformation tempo in organizations around the globe in 2020 considerably. Although the pandemic is over, working from home among organizations globally has not only remained, but also increased, increasing the drive for digital transformation. Other contributing causes include customer demand and the need to be on par with competitors. Overall, utilizing technologies for digital transformation render organizations more agile in responding to changing markets and enhance innovation, thereby making them more resilient.

This dataset provides comprehensive insights into the digital transformation of various economic activities. It includes indicators covering a wide range of topics—from the contribution of the digital economy to GDP, to the extent of establishments’ use of online tools and platforms. Key measures include the percentage of establishments offering electronic services or using cloud computing, tracking how businesses receive and deliver orders electronically, and evaluating their presence and advertising activities on social media. Additionally, the dataset tracks after-sale support offered through company websites, highlighting the integration of digital services in customer care. By analyzing these indicators, policymakers, researchers, and industry leaders can assess the growth and impact of digital adoption on economic performance, enabling data-driven decisions for future development.Follow data.kapsarc.org for timely data to advance energy economics research.

According to Cognitive Market Research, the global DNA Data Storage Market size will be USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • The global DNA Data Storage Market will expand significantly by XX% CAGR between 2024 to 2031. • North America held the major market of more than XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • Asia Pacific held a market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031. • The enhanced Security and Data Privacy and Advancements in DNA synthesis and sequencing technologies are a growth driver of the market. • High Costs is a restraint on the market. • By product type, the Commercial segment is expected to dominate the market. • By Deployment, the Cloud segment is expected to dominate the market. • By Application, The Research & Prototyping segment dominated the market

Market Dynamics of the DNA Data Storage Market

Key Drivers

Enhanced Security and Data Privacy has increased the demand for the market 

Improved security and data privacy capabilities constitute a significant potential for the DNA data storage business. The inherent stability and the depth of genetic information make DNA an appealing alternative for protecting sensitive data, corresponding with increasing concerns about cybersecurity and data privacy. Unlike standard storage systems, DNA data storage offers a unique level of resistance since the information is embedded inside the DNA molecules, resulting in a natural encryption layer. This feature improves the security posture against potential data breaches and unauthorized access. As enterprises face tougher restrictions and more cyber dangers, the DNA data storage industry might gain from promoting itself as a secure and dependable solution. This possibility does not just appeal to organizations with severe data protection obligations, such as healthcare and finance but also positions DNA data storage as a key player in addressing the broader challenges associated with data security in the digital era.

Advancements in DNA synthesis and sequencing technologies have increased the growth of the market 

Advancements in DNA synthesis and sequencing technologies are a primary driving force behind the growth of the DNA data storage market. Continuous advancements in these critical areas have significantly increased the feasibility and efficiency of encoding digital information into DNA molecules. Improved DNA synthesis methods allow for the precise generation of synthetic DNA strands, while advances in sequencing technology permit the reliable recovery of stored data. These developments help to reduce costs, enhance data storage density, and improve read and write speeds, solving significant issues that have previously hampered the mainstream implementation of DNA data storage. As these technologies advance, the scalability and economic feasibility of DNA data storage systems improve, resulting in increased interest and investment from both the biotechnology and information technology industries. The convergence of DNA synthesis, sequencing, and data storage technologies places DNA as a viable medium for high-capacity, long-term storage solutions in an ever-expanding digital world. For instance, in 2021, Twist Bioscience acquired iGenomX, a firm specializing in DNA sequencing and library preparation technology. The goal of this purchase was to broaden Twist Bioscience's product range in the DNA synthesis and sequencing area. Improved encoding and decoding methods can boost the efficiency of data representation in DNA sequences. This means that more data may be stored in a given amount of DNA, enhancing the high data density advantage. Better error correction techniques for DNA synthesis and sequencing can improve the reliability and accuracy of data storage. This is critical for ensuring that data is preserved and retrievable over long durations. Advancements in DNA synthesis techniques can help with the scalability of DNA data storage. This scalabi...

"Telco Digital Advertising Strategies: Leveraging Data, Technology And Content Assets To Generate Revenue" is a thematic research report by GlobalData that examines the increased focus and participation of telecom services providers (Telcos) in the digital/mobile advertising ecosystem. Digital is the fastest growing segment in the global advertising market, and a formidable revenue engine for digital technology players. Telcos are adopting advertising business models and developing offerings to increase their participation and revenue share in this lucrative market. Read More

According to a survey conducted in Japan in March 2020, almost 33 percent of businesses analyzed customer data. While the lion's share of companies employed data for business operations, around 34 percent stated that they did not use data for analytical purposes.

Abstract (en): The Global Digital Activism Data Set (GDADS), released February 2013 by the Digital Activism Research Project (DARP) at the University of Washington in Seattle, features coded cases of online digital activism from 151 countries and dependent territories. Several features from each case of digital activism were documented, including the year that online action commenced, the country of origin of the initiator(s), the geographic scope of their campaign, and whether the action was online only, or also featured offline activities. Researchers were interested in the number and types of software applications that were used by digital activists. Specifically, information was collected on whether software applications were used to circumvent censorship or evade government surveillance, to transfer money or resources, to aid in co-creation by a collaborative group, or for purposes of networking, mobilization, information sharing, or technical violence (destructive/disruptive hacking). The collection illustrates the overall focus of each case of digital activism by defining the cause advanced or defended by the action, the initiator's diagnosis of the problem and its perceived origin, the identification of the targeted audience that the campaign sought to mobilize, as well as the target whose actions the initiators aimed to influence. Finally, each case of digital activism was evaluated in terms of its success or failure in achieving the initiator's objectives, and whether any other positive outcomes were apparent. Through GDADS and associated works, DARP aims to study the effect of digital technology on civic engagement, nonviolent protest, and political change around the world. The GDADS contains three sets of data: (1) Coded Cases, (2) Case Sources, and (3) Coded Cases 2.0. The Coded Cases dataset contains 1179 coded cases of digital activism from 1982 through 2012. The Case Sources dataset is an original deposited Excel document that contains source listings from all cases documented by researchers, including those that were ultimately excluded from the original Coded Cases dataset. Coded Cases 2.0 contains 426 additional cases from 2010 through 2012; these cases were treated with a revised coding scheme and an extended review process. GDADS was assembled with the following inclusion criteria: cases needed to exhibit either (1) an activism campaign with at least one digital tactic, or (2) an instance of online discourse aimed at achieving social or political change, and (3) needed to be described by a reliable third party source. In addition to these inclusion criteria, researchers required that the digital activism be initiated by a traditional civil society organization, such as a nongovernmental organization or a nonprofit, or by the collaborative effort of one or more citizens. Digital activism cases initiated by governments or for-profit entities were not included in the collection. The data were assembled by a team of volunteers searching Web sites that are known to document global digital activism; researchers also collected data from peer reviewed journal articles that included digital activism case studies. This data collection does not feature a weighting scheme. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Global occurrences of online digital activism and journal article case studies of digital activism from 1982 through 2012. Smallest Geographic Unit: country Dataset 1: Coded Cases, contains the entire collection of coded cases, according to the inclusion criteria, for 1982-2009, but is incomplete for 2010-2012. Dataset 2: Case Sources, is an original deposited Excel document that contains links and citations used to code dataset 1 cases, plus 166 cases collected but not included in dataset 1. Dataset 3: Coded Cases 2.0, contains additional cases using purposive, multi-source, multilingual, sampling. For more information on sampling, please refer to the Methodology section in the ICPSR Codebooks. 2014-06-12 The collection has been updated with file set 3, Coded Cases 2.0, which contains additional cases that use an updat...

Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Digital Data and Technology.

Digital Data Recorders Market Outlook

The global Digital Data Recorders market size is projected to grow from $1.5 billion in 2023 to approximately $2.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 7.2% during the forecast period. This robust growth is driven by increasing technological advancements and rising demand for data recording and analysis across various industries. The surge in air travel, the need for enhanced safety measures in automobiles, and advancements in marine exploration are significant growth factors propelling the demand for digital data recorders.

One of the primary growth drivers is the escalating need for safety and regulatory compliance in the aerospace industry. Cockpit voice recorders and flight data recorders are critical for investigating aviation accidents and incidents. With the burgeoning air travel industry and stringent safety regulations imposed by aviation authorities worldwide, the demand for advanced digital data recorders is witnessing a significant uptick. Additionally, innovations in technology have enabled the development of more sophisticated and reliable data recording devices, further boosting market growth.

Another noteworthy growth factor is the increasing integration of advanced electronics and data recording systems in the automotive sector. Modern vehicles are equipped with numerous sensors and electronic control units that generate vast amounts of data. Digital data recorders play a crucial role in capturing and analyzing this data for various applications, including performance monitoring, safety diagnostics, and predictive maintenance. As the automotive industry continues to evolve towards connected and autonomous vehicles, the demand for high-performance data recorders is expected to rise substantially.

The marine industry also presents significant growth opportunities for digital data recorders. With the increasing complexity of modern vessels and the need for precise navigation and operational data, digital data recorders have become indispensable tools. They are used to monitor and record critical parameters such as engine performance, fuel consumption, and environmental conditions. As maritime regulations become more stringent and the push for sustainable shipping intensifies, the adoption of advanced data recording systems in the marine sector is anticipated to grow.

Regionally, North America holds a prominent position in the digital data recorders market, driven by the presence of major aerospace and automotive manufacturers and stringent safety regulations. Europe follows closely, with significant contributions from the aviation and automotive industries. The Asia Pacific region is expected to witness the highest growth rate due to the expanding aerospace sector, increasing automotive production, and growing maritime activities. The Middle East & Africa and Latin America are also poised for substantial growth, supported by developments in their respective aerospace and automotive sectors.

Type Analysis

The digital data recorders market can be segmented by type into Cockpit Voice Recorders, Flight Data Recorders, Data Loggers, and Others. Cockpit Voice Recorders (CVRs) play a critical role in capturing audio communications within the cockpit, providing essential data for accident investigations. The demand for CVRs is driven by stringent aviation safety regulations and the rising number of commercial flights globally. Technological advancements have led to the development of more reliable and durable CVRs, capable of withstanding severe crash impacts and extreme environmental conditions, thereby ensuring the integrity of recorded data.

Flight Data Recorders (FDRs), commonly known as black boxes, are another vital category within this segment. These devices record crucial flight parameters, including altitude, airspeed, and heading, which are essential for analyzing flight performance and investigating accidents. The growing emphasis on enhancing flight safety and the implementation of advanced avionics systems in modern aircraft are key factors driving the demand for sophisticated FDRs. Furthermore, the aviation industry's ongoing efforts to improve data recording accuracy and retrieval capabilities are expected to support market growth.

Data Loggers are versatile devices used across various industries to record and store data from diverse sources such as temperature, humidity, pressure, and more. In the automotive sector, data loggers are extensively used for vehicle testing, performance monitoring, and safety diagnostics. The inc

Numbers of staff in Department for Environment, Food & Rural Affairs, Digital, Data and Technology Services - on 1 May 2016. The numbers are broken down by functional areas.

Deviced! : balancing life and technology in a digital world is a book. It was written by Doreen Dodgen-Magee and published by Rowman&Littlefield Publishers in 2018.

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Digital Transformation Services Market Size 2024-2028

The digital transformation services market size is forecast to increase by USD 1.38 billion at a CAGR of 28.99% between 2023 and 2028. The market is experiencing significant growth due to the increasing need to modernize outdated technologies and legacy systems. Businesses are recognizing the importance of updating architecture for compatibility and seamless integration of automation tools, as well as emerging technologies like the Internet of Things (IoT) and smart grid IT systems. Disruptions caused by these outdated systems can lead to inefficiencies and missed opportunities, particularly in areas such as marketing automation, repetitive tasks, and workflows. Marketers, in particular, are seeking to optimize customer interactions through lead generation, email marketing, and content management. The integration of big data and analytics, along with IoT capabilities, is becoming essential for gaining insights and making informed decisions across various industries. However, digital transformation comes with challenges, including the need for significant investments and the complexities of upgrading and replacing existing systems. The implementation process can be intricate, requiring careful planning and execution to ensure a smooth transition.

What will the size of the market be during the forecast period?

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The market is experiencing significant growth as businesses adopt advanced technologies to streamline operations and enhance productivity. This market encompasses various solutions such as cloud computing, machine learning, the Internet of Things (IoT), and big data tools. These technologies are transforming industries, from manufacturing to healthcare, by enabling optimal resource utilization, constant connectivity, and real-time data analysis. Cloud Computing A Key Driver in Digital Transformation Cloud computing is a critical component of digital transformation, offering businesses the ability to store, manage, and process data remotely. It allows for scalability, flexibility, and cost savings, making it an attractive option for IT enterprises. Machine Learning and AI Intelligent Solutions for Modern Business Machine learning and artificial intelligence (AI) are revolutionizing business processes by automating repetitive tasks and providing valuable insights from data. These technologies are being integrated into various applications, from customer service to predictive maintenance, to improve efficiency and accuracy.

Further, IoT Connecting Networked Devices for Enhanced Productivity The Internet of Things (IoT) is enabling businesses to collect and analyze data from various networked devices in real-time. This data can be used to optimize production processes, improve supply chain management, and enhance customer experiences. Big Data Tools Making Sense of Complex Data Big data tools are essential for businesses looking to make sense of the vast amounts of data generated daily. These tools enable businesses to analyze data from various sources, identify trends, and gain valuable insights to inform decision-making. Cyber Security Protecting Data in a Connected World As businesses increasingly rely on digital services, cyber security becomes a top priority. Digital transformation services providers offer strong security solutions to protect against data breaches, ensuring data privacy and security concerns are addressed. Digitization and Industry 4.0 The Future of Manufacturing Digitization and Industry 4.0 are transforming manufacturing processes by integrating AI, robotization, and IoT. Intelligent robots and production workers are collaborating to improve efficiency and productivity, while constant connectivity enables real-time monitoring and optimization of production processes.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  IT and telecom
  Retail and eCommerce
  BFSI
  Healthcare
  Others


Type

  Large enterprise
  Small and medium enterprise


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By End-user Insights

The IT and telecom segment is estimated to witness significant growth during the forecast period. Telecom and IT companies are increasingly embracing digital transformation services to stay competitive and meet the demands of their customers. The proliferation of smartphones and the shift towards cloud-based technologies have led to an exponential increase in business data for telecommunications companies. To manage this data effectively and gain valuable insights, these companies are turning to digital t

The main project aims were to examine the human rights implications of rapidly developing technologies. As noted above, in an increasingly digitised world, technological developments and the collection, storage and use of 'big data' pose unprecedented challenges for the protection of human rights. The aim of the project was to examine the intersection of such technological developments and the ideals of human rights protection. The work focused on both positive and negative aspects of this relationship. As noted above, the core research aims were organised on these issues that cut across the threats and opportunities:1) How is the use of ICT and big data shaping the content and scope of rights? (2) How does the use of ICT and big data shape operational practices across state and non-state activities? What new theoretical questions and implications for human rights are generated? (3) What methodologies are needed to identify and document the misuse of modern technologies and the failure to comply with rights-based obligations? (4) How can the use of ICT and big data best support evidence-based approaches to human rights protection and advocacy? (5) What possibilities and limitations exist for regulating the collection, storage and use of ICT and big data by states and non-state actors? The deposited data largely focuses on interviews with law enforcement and security agency representatives about uses of digital technology. We found that an enthusiastic embrace of technnology often existed yet this was not always accompanied by the development of codes of practice, regulatory frameworks and operational guidence on how they should be used. In addition to a potential regulatory vacuum, such disconnects also placed additional burdens on law enforcement themselves as they sought to apply existing rules and regulations. This is something we have described in publications as 'surveillance arbitration'. We also include interviews with civil society actors and lawyers that interrogate these issues and associated digital rights campaigning matters in more detail.

Edward Snowden's leaks about the extent of US and UK intelligence services' electronic surveillance dramatically demonstrated how in an increasingly digitised world, technological developments and the collection, storage and use of 'big data' pose unprecedented challenges for the protection of human rights. The aim of this programme of research is to ensure that the use of technological developments and big data are compatible with the ideals of human rights protection and can even have a positive impact.

Snowden's revelations are part of a much bigger picture in which electronic monitoring and data is collected and shared by companies and states on a routine, daily basis through social media, consumer activity and smartphones. The same technologies that threaten our privacy also provide opportunities for enhanced protection of human rights through better documentation of human rights violations and by demonstrating the effectiveness of rights-shaped policies in order to influence resource allocation and budgets.

Existing work either fails to consider the rights-implications of the use of Information and Communication Technology (ICT) and big data or focuses on a particular right. What is missing is a wider investigation into the diverse and complex rights-implications (positive and negative) of the use of ICT and big data including, but not limited to, privacy and the many social, ethical and legal issues lurking beneath the surface of human-machine interaction and use of big data. Moreover, regulation of the use of ICT and big data is currently fragmented between states, the United Nations and internet governance sector. This project will provide added value by offering a fuller picture of the totality of human rights issues raised by ICT and big data to advance new thinking and regulatory solutions.

The research questions focus on issues that cut across the threats and opportunities:1) How is the use of ICT and big data shaping the content and scope of rights? (2) How does the use of ICT and big data shape operational practices across state and non-state activities? What new theoretical questions and implications for human rights are generated? (3) What methodologies are needed to identify and document the misuse of modern technologies and the failure to comply with rights-based obligations? (4) How can the use of ICT and big data best support evidence-based approaches to human rights protection and advocacy? (5) What possibilities and limitations exist for regulating the collection, storage and use of ICT and big data by states and non-state actors?

The project will be organised into 4 work streams. The first (WS1) will focus on the overarching and synthesising themes. This will be complemented and informed by three in-depth studies: state and non-state surveillance (WS2); health as an example of using new technologies and big data for...

The Global Digital Activism Data Set (GDADS), released February 2013 by the Digital Activism Research Project (DARP) at the University of Washington in Seattle, features coded cases of online digital activism from 151 countries and dependent territories. Several features from each case of digital activism were documented, including the year that online action commenced, the country of origin of the initiator(s), the geographic scope of their campaign, and whether the action was online only, or also featured offline activities. Researchers were interested in the number and types of software applications that were used by digital activists. Specifically, information was collected on whether software applications were used to circumvent censorship or evade government surveillance, to transfer money or resources, to aid in co-creation by a collaborative group, or for purposes of networking, mobilization, information sharing, or technical violence (destructive/disruptive hacking). The collection illustrates the overall focus of each case of digital activism by defining the cause advanced or defended by the action, the initiator's diagnosis of the problem and its perceived origin, the identification of the targeted audience that the campaign sought to mobilize, as well as the target whose actions the initiators aimed to influence. Finally, each case of digital activism was evaluated in terms of its success or failure in achieving the initiator's objectives, and whether any other positive outcomes were apparent.

The global digital advertising technology services market was valued at approximately USD XX million in 2025 and is projected to reach USD YY million by 2033, exhibiting a CAGR of XX% during the forecast period from 2025 to 2033. The market growth is attributed to factors such as increasing adoption of digital advertising, growing need for data analytics and yield management, and advancements in artificial intelligence (AI) and machine learning (ML) technologies. The market is segmented by application into ads setting, data analytics, yield management, and others. The data analytics segment is expected to hold the largest share during the forecast period due to the rising demand for data-driven insights to optimize advertising campaigns. The market is also segmented by type into on-premise and cloud-based. The cloud-based segment is anticipated to grow at a rapid pace owing to its cost-effectiveness, scalability, and flexibility. Key players operating in the market include Adform, Adobe, AdRoll, Amazon (AWS), AT&T (WarnerMedia), CAKE, Choozle, Criteo, Google, LiveIntent, Marin Software, MediaMath, Quantcast, Singapore Telecommunications (Amobee), Sovrn, The Search Monitor, The Trade Desk, Verizon (Verizon Media), and Verve.

Digital Thread Market size was valued at USD 448.6 Million in 2024 and is projected to reach USD 1,589.2 Million by 2032 growing at a CAGR of 17.1% from 2025 to 2032.

Global Digital Thread Market Drivers

Digital Transformation in Manufacturing Industries: Manufacturing businesses are increasingly using digital threads to increase efficiency and production. According to the National Institute of Standards and Technology (NIST), digital threads enable continuous data flow in manufacturing, sustaining a $2 trillion global sector, of which the United States accounts for a sizable portion.

Increasing Focus on Supply Chain Optimization: The demand for improved supply chain management is a primary driver of the Digital Thread market. According to a McKinsey analysis from 2020, digital transformation in the supply chain could save operational costs by 10-20%, spurring growing adoption of digital thread technology to optimize logistics and inventory management.

Rising Demand for Real-Time Data Analytics: The growing demand for real-time, data-driven decision-making is driving the use of digital thread technology. According to the World Economic Forum, global usage of AI and real-time analytics is predicted to increase by 40% by 2025, driving up demand for digital threads in industries.

Digital Transformation Market size was valued at USD 723.26 Billion in 2023 and is projected to reach USD 3597.00 Billion by 2031, growing at a CAGR of 22.20% from 2024 to 2031.

Digital transformation is the process of incorporating intelligent digital technologies into a company’s operations, solutions, and culture to satisfy consumer demand for better and more easily available goods and services.

A remote or hybrid workforce, increased revenue, lower costs, and improved customer attraction and retention are all possible outcomes of an effective digital transformation for businesses.

Digital transformation consists of three main technologies cloud computing, artificial intelligence (AI), and mobile applications that are responsible for the digital transformation of enterprises.

The components of digital transformation are people, process, and platforms. Aligning the company’s objective with the company’s vision, identifying the key leaders, restructuring customer outcomes, and empowering employees is the digital transformation strategy. Examples of digital transformation are McConnell Dowell, Zebra Technologies, and Leonarda DRS.

[Source Data]The Digital Divide Index or DDI ranges in value from 0 to 100, where 100 indicates the highest digital divide. It is composed of two scores, also ranging from 0 to 100: the infrastructure/adoption (INFA) score and the socioeconomic (SE) score.The INFA score groups five variables related to broadband infrastructure and adoption: (1) percentage of total 2020 population without access to fixed broadband of at least 100 Mbps download and 20 Mbps upload as of 2020 based on Ookla Speedtest® open dataset; (2) percent of homes without a computing device (desktops, laptops, smartphones, tablets, etc.); (3) percent of homes with no internet access (have no internet subscription, including cellular data plans or dial-up); (4) median maximum advertised download speeds; and (5) median maximum advertised upload speeds.The SE score groups five variables known to impact technology adoption: (1) percent population ages 65 and over; (2) percent population 25 and over with less than high school; (3) individual poverty rate; (4) percent of noninstitutionalized civilian population with a disability: and (5) a brand new digital inequality or internet income ratio measure (IIR). In other words, these variables indirectly measure adoption since they are potential predictors of lagging technology adoption or reinforcing existing inequalities that also affect adoption.These two scores are combined to calculate the overall DDI score. If a particular county or census tract has a higher INFA score versus a SE score, efforts should be made to improve broadband infrastructure. If on the other hand, a particular geography has a higher SE score versus an INFA score, efforts should be made to increase digital literacy and exposure to the technology’s benefits.The DDI measures primarily physical access/adoption and socioeconomic characteristics that may limit motivation, skills, and usage. Due to data limitations it was designed as a descriptive and pragmatic tool and is not intended to be comprehensive. Rather it should help initiate important discussions among community leaders and residents.

The statistic represents the impact of various digital transformation initiatives on business resilience and the ability of companies to adequately ensure data security, as of March 2016. According to the survey, 42 percent of respondents reported that the adoption of mobile payments had had a strong impact on data security and business resilience, while 28 percent identified digital identity management as having had a critical impact.