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Digital governance of education : technology, standards and Europeanization of education
'Digital Governance of Education' explores the multiple ways in which digital technologies are changing the experience of education. With much of the contemporary education practice either taking place or being documented digitally, a huge amount of data is constantly being collected and analysed to give sophisticated and up-to-date accounts of education practice in contemporary societies. Such 'datafication' of education, mediated through technology, gives rise to what the author defines as 'digital governance' of education - a transnational network of databases, codes, data analytics software and digital technology experts that increasingly affects how national education systems are organized and managed.
Book
The data toolkit
How to accelerate analysis into actionUsing data for school improvement is a key goal of Race to the Top, and now is the time to make data-driven school improvement a priority. However, many educators are drowning in data. Boost your professional learning community's ability to translate data into action with this new book from Pam Robbins and Robert T. Hess. The Data Toolkit provides ten easy-to-use tools that don't require statistical expertise, can be implemented in a timely manner, and facilitate problem-solving at the classroom, school, and district levels. These proven methods help educators: Frame the questions; Drive the conversation; Engage in productive reflection; Uncover understandings; Create a data-driven plan; Achieve and monitor resultsWritten in an educator-friendly format each chapter contains instructions on using the tool, a sample scenario, and examples—practical resources that will help your PLC be the best it can be.Also included are case studies that show how data teams, PLCs, and individual teachers have used the book's methods in their own settings. The culminating school improvement mapping tool guides the team through designing an action plan focused on increasing student learning and achievement outcomes.
eBook
Barriers and opportunities of data spaces in smart tourism destinations: insights from Benidorm (Spain)
Smart tourism destinations aim to manage data coming from deployment of ICT solutions for the sake of an actionable decision-making process. However, data management in the tourism domain have some challenges, such as (i) the need of tourism sector for including external, non-tourism data to make the data more meaningful; (ii) the very heterogeneous nature of tourism data by subject matter; as well as (iii) data coming from many levels of granularity (e.g., city, region, or nation). In order to propose how to properly address these challenges, contribution of this paper is twofold. First, opportunities and barriers that held data-driven smart tourism destinations are analyzed by considering the case study of Visit Benidorm, the Destination Management Organization (DMO) of Benidorm, which is the first city certified as smart tourism destination according to the Spanish standards. Secondly, insights are provided that allow to state that data spaces in the tourism sector are required for DMOs to unleashing the potential of data in a smart tourism destination. Los destinos turísticos inteligentes buscan gestionar los datos provenientes del despliegue de soluciones TIC con el fin de facilitar un proceso de toma de decisiones accionable. Sin embargo, la gestión de datos en el ámbito turístico presenta algunos desafíos, tales como: (i) la necesidad del sector turístico de incluir datos externos, no turísticos, para hacer que los datos sean más significativos; (ii) la naturaleza muy heterogénea de los datos turísticos por temática; así como (iii) datos que provienen de muchos niveles de granularidad (por ejemplo, ciudad, región o nación).Con el objetivo de proponer cómo abordar adecuadamente estos desafíos, la contribución de este artículo es doble. En primer lugar, se analizan las oportunidades y barreras que condicionan a los destinos turísticos inteligentes basados en datos, considerando el estudio de caso de Visit Benidorm, la Organización de Gestión del Destino (DMO) de Benidorm, que es la primera ciudad certificada como destino turístico inteligente según los estándares españoles. En segundo lugar, se ofrecen perspectivas que permiten afirmar que los espacios de datos en el sector turístico son necesarios para que las DMOs puedan liberar el potencial de los datos en un destino turístico inteligente.
Journal Article
In-Depth Examination of the Functionality and Performance of the Internet Hospital Information Platform: Development and Usability Study
Internet hospitals (IHs) have rapidly developed as a promising strategy to address supply-demand imbalances in China's medical industry, with their capabilities directly dependent on information platform functionality. Furthermore, a novel theory of \"Trinity\" smart hospital has provided advanced guidelines on IH constructions.
This study aimed to explore the construction experience, construction models, and development prospects based on operational data from IHs.
Based on existing information systems and internet service functionalities, our hospital has built a \"Smart Hospital Internet Information Platform (SHIIP)\" for IH operations, actively to expand online services, digitalize traditional health care, and explore health care services modes throughout the entire process and lifecycle. This article encompasses the platform architecture design, technological applications, patient service content and processes, health care professional support features, administrative management tools, and associated operational data.
Our platform has presented a set of data, including 82,279,669 visits, 420,120 online medical consultations, 124,422 electronic prescriptions, 92,285 medication deliveries, 6,965,566 prediagnosis triages, 4,995,824 offline outpatient appointments, 2025 medical education articles with a total of 15,148,310 views, and so on. These data demonstrate the significant role of IH as an indispensable component of our physical hospital services, with deep integration between online and offline health care systems.
The upward trends in various data metrics indicate that our IH has gained significant recognition and usage among both the public and healthcare workers, and may have promising development prospects. Additionally, the platform construction approach, which prioritizes comprehensive service digitization and the 'Trinity' of the public, healthcare workers, and managers, serves as an effective means of promoting the development of Internet Hospitals. Such insights may prove invaluable in guiding the development of IH and facilitating the continued evolution of the Internet healthcare sector.
Journal Article
Determinant factors of Chief Data Officer adoption in government: A topic model and structural equation modelling approach
With the generation of massive amounts of data, the Chief Data Officer (CDO) has been introduced in governments worldwide. Existing research on CDO is quite limited and primarily focuses on general descriptions of CDO. However, there is little research exploring the underlying reasons for the establishment of the CDO in government. To address this gap, this paper employs topic modeling to analyze government documents, identify factors influencing the adoption of CDO, and construct a research model. Data were collected from 277 employees within Chinese government organizations through a questionnaire survey and a quantitative analysis was performed to evaluate five hypotheses using structural equation modeling (SEM). The findings suggest that (1) data exploitation, data sharing and data management significantly influence data dividends, and (2) both data dividends and institutional pressures are key predictors of the intention to adopt the CDO, with digital dividends exerting a greater effect than institutional pressures.
Journal Article
Learning Apache Drill : query and analyze distributed data sources with SQL
Get up to speed with Apache Drill, an extensible distributed SQL query engine that reads massive datasets in many popular file formats such as Parquet, JSON, and CSV. Drill reads data in HDFS or in cloud-native storage such as S3 and works with Hive metastores along with distributed databases such as HBase, MongoDB, and relational databases. Drill works everywhere: on your laptop or in your largest cluster.In this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool. Data scientists today spend about 80% of their time just gathering and cleaning data. With this book, you'll learn how Drill helps you analyze data more effectively to drive down time to insight. Use Drill to clean, prepare, and summarize delimited data for further analysis ; Query file types including logfiles, Parquet, JSON, and other complex formats ; Query Hadoop, relational databases, MongoDB, and Kafka with standard SQL ; Connect to Drill programmatically using a variety of languages ; Use Drill even with challenging or ambiguous file formats ; Perform sophisticated analysis by extending Drill's functionality with user-defined functions ; Facilitate data analysis for network security, image metadata, and machine learning
Book
Mapping digital transformation and social impact in Italian healthcare: a holistic evaluation of organizational digital maturity
Context
Digital transformation (DT) is a key driver of innovation in the healthcare sector, as it improves efficiency, quality, and patient outcomes. In the Italian public healthcare system, assessing digital organizational maturity is essential to evaluate the readiness and ability to effectively implement DT, particularly in chronic care management.
Methods
This study used a multi-case approach to assess the digital organizational maturity of four Italian healthcare cases: “Silver Age - Multiple Screening”, “Telemedicine for Chronic Disease Care”, “Diabetes Network” and “Digital Healthcare Ecosystem”. The assessment applied a holistic maturity model comprising four sequential stages: awareness, readiness, planning, and execution. Data collection included direct observations, semi-structured interviews with organizational stakeholders, and analysis of institutional documents.
Results
The analysis revealed different levels of digital maturity across the cases. Notable strengths were observed in strategic alignment and innovation, particularly in the “Digital Healthcare Ecosystem”. However, challenges remain in terms of scalability, interoperability, and comprehensive data management. Cases such as “Silver Age - Multiple Screening” identified critical gaps in stakeholder alignment and process integration, while “Telemedicine for Chronic Disease Care” demonstrated significant results in reducing hospital admissions but encountered barriers to adoption by end users.
Conclusions
The findings highlight the critical role of structured digital maturity assessments in guiding healthcare organizations on their transformation journey. Addressing integration, workforce training, and strategic alignment is essential to achieving scalable and sustainable DT, especially in contexts involving chronic care management. This study underscores the value of a comprehensive maturity model for identifying gaps and providing targeted improvement strategies.
Journal Article