The Digital Personal Data Protection Act of 2023 aims to regulate the processing of digital personal data while balancing individuals' right to data protection and lawful data processing. It covers various aspects such as obligations of data fiduciaries, rights of data principals, and the establishm

3 views • 28 slides

To stay ahead of the curve in the fast-paced field of data engineering, creativity is essential. Chat-based solutions are becoming a major player in the development of data engineering as businesses look to streamline their data workflows. Chat based data engineering is transforming how teams intera

3 views • 1 slides

Data science is a multi-disciplinary field that utilizes scientific methods to extract knowledge from various types of data. Data scientists play a crucial role in uncovering valuable insights for organizations by mastering the full data science life cycle and possessing key skills such as curiosity

4 views • 46 slides

MPAI, spearheaded by Leonardo Chiariglione, plays a crucial role in defining standards and technologies for the metaverse, ensuring interoperability between different metaverse instances. This involves functional and prescriptive interoperability, enabling seamless data exchange and operation models

3 views • 38 slides

Data Use Agreements (DUAs) are contractual agreements between data providers and recipients, ensuring proper handling of non-public data, especially data subject to restrictions like HIPAA. DUAs address data use limitations, liability, publication, exchange, storage, and protection protocols. HIPAA

5 views • 19 slides

NCI Data Collections BARPA & BARRA2 serve as critical enablers of big data science and analytics in Australia, offering a vast research collection of climate, weather, earth systems, environmental, satellite, and geophysics data. These collections include around 8PB of regional climate simulations a

5 views • 22 slides

The wheat research community faces challenges in meeting the increasing demand for wheat production due to a lack of data harmonization and standards. The Wheat Data Interoperability Working Group aims to improve the interoperability of wheat-related data through shared guidelines, tools, and recomm

4 views • 10 slides

The integration of NLP into data pipelines represents a paradigm shift in data engineering, offering companies a powerful tool to reinvent their data workflows and unlock the full potential of their data. By automating data processing tasks, handling diverse data sources, and fostering a data-driven

9 views • 2 slides

The integration of NLP into data pipelines represents a paradigm shift in data engineering, offering companies a powerful tool to reinvent their data workflows and unlock the full potential of their data. By automating data processing tasks, handling diverse data sources, and fostering a data-driven

7 views • 2 slides

In the field of data engineering, accuracy and efficiency are critical. Conventional methods frequently include laborious procedures and intricate interfaces. However, with the rise of chat based data engineering tool such as Ask On Data, a new era of data engineering is beginning. These cutting-edg

2 views • 2 slides

Over the past two decades, there has been a significant proliferation of big data, leading to the emergence of new challenges and opportunities in economic policy formulation. The use of big data, with its three defining characteristics (volume, velocity, and variety), poses questions about the futu

0 views • 26 slides

In today's data-driven world, organizations rely on robust data engineering pipelines to collect, process, and analyze vast amounts of data efficiently. At the heart of these pipelines lies data wrangling, a critical process that involves cleaning, transforming, and preparing raw data for analysis.

2 views • 2 slides

Data wrangling tool like Ask On Data plays a pivotal role in reshaping IT strategies by elevating data quality, streamlining data preparation, facilitating data integration, empowering citizen data scientists, and driving innovation and agility. As businesses continue to harness the power of data to

2 views • 2 slides

In current data world, businesses thrive on their ability to harness and interpret vast amounts of data. This data, however, often comes in raw, unstructured forms, riddled with inconsistencies and errors. To transform this chaotic data into meaningful insights, organizations need robust data wrangl

0 views • 2 slides

Organizations generate and gather enormous amounts of data from diverse sources in today's data-driven environment. This raw data, often unstructured and messy, holds immense potential for driving insights and informed decision-making. However, transforming this raw data into a usable format is a ch

0 views • 2 slides

The importance of a robust data wrangling tool like Ask On Data cannot be overstated in today's data-centric landscape. By streamlining the data preparation process, enhancing productivity, ensuring data quality, and fostering collaboration, Ask On Data empowers organizations to unlock the full pote

0 views • 2 slides

Data migration tools are indispensable for organizations looking to transform their big data into actionable insights. Ask On Data exemplifies how these tools can streamline the migration process, ensuring data integrity, scalability, and security. By leveraging Ask On Data, organizations can achiev

0 views • 2 slides

Data wrangling is the cornerstone of effective business intelligence. Without clean, accurate, and well-organized data, the insights derived from analysis can be misleading or incomplete. Ask On Data provides a comprehensive solution to the challenges of data wrangling, empowering businesses to tran

0 views • 2 slides

In today's data-driven world, the ability to seamlessly migrate and manage data is essential for businesses striving to stay competitive and agile. Data migration, the process of transferring data from one system to another, can often be a daunting task fraught with challenges such as data loss, com

1 views • 2 slides

The document discusses the necessity of a new 802.11bd 20MHz mode for improved interoperability within Intelligent Transportation Systems (ITS) due to limitations with current Wi-Fi channels and the scope of 256-QAM modulation. It presents proposals approved by the Car-2-Car Communications Consortiu

0 views • 8 slides

Delve into the world of data science with Grade IX Version 1.0! This educational material covers essential topics such as the definition of data, distinguishing data from information, the DIKW model, and how data influences various aspects of our lives. Discover the concept of data footprints, data

1 views • 31 slides

Explore the significance of interoperability in education through insightful statistics and data. Learn how improved interoperability can benefit CTOs, teachers, and schools. Discover the challenges and potential solutions related to the seamless sharing of data and digital tools in educational sett

0 views • 30 slides

International Classification of Diseases (ICD-11) and International Classification of Health Interventions (ICHI) provide a comprehensive framework for recording and analyzing health data globally. The system ensures semantic interoperability, integrates terminology and classification, and supports

4 views • 21 slides

EUROfusion data management project led by P. Strand at Chalmers outlines a comprehensive data management plan with four scenarios of increasing ambition, from making metadata available to open access for non-embargoed data. The plan includes strategies for interoperability, data accessibility, enhan

0 views • 11 slides

The Coalition of Open Biodiversity Infrastructures and Networks aims to enhance collaboration for comprehensive biodiversity data management and accessibility. They focus on delivering biodiversity knowledge effectively, enabling stakeholder participation, promoting open data sharing, mobilizing his

0 views • 13 slides

Data Governance and Data Analytics play crucial roles in transforming data into knowledge and insights for generating positive impacts on various operational systems. They help bring together disparate datasets to glean valuable insights and wisdom to drive informed decision-making. Managing data ma

0 views • 8 slides

Data governance in Grade XII Data Science Version 1.0 covers aspects like data quality, security, architecture, integration, and storage. Ethical guidelines emphasize integrity, honesty, and accountability in handling data. Data privacy ensures control over personal information collection and sharin

1 views • 44 slides

Explore the strategic roadmap and key drivers behind the S-100 implementation decade 2020-2030, focusing on operational infrastructure, technical standardization, and collaboration with industry. Uncover the crucial role of S-100 for enhancing shipping navigation, driving digitization, and opening n

0 views • 9 slides

Introduction to DDI-CDI and its relevance in EOSC applications, highlighting examples, foundational metadata, possible applications, questions for consideration, interoperability with FAIR data principles, and challenges in research across domain boundaries. DDI standards aim to improve data documen

0 views • 51 slides

Research in higher education focuses on metadata and FAIR principles for effective research output management. The content discusses the challenges related to metadata standardization and the importance of data findability, accessibility, interoperability, and reusability in scientific data manageme

0 views • 22 slides

The National Geospatial Information Management Strategy Action Plan Update outlines five strategic goals focusing on governance, data, access, interoperability, and development. Under each goal, multiple action points are detailed, including reviewing council roles, updating legislation, coordinatin

1 views • 13 slides

Explore the establishment of a beneficial ownership register in North Macedonia, outlining key elements like deadlines, mandatory data, legal considerations, and filing obligations. Discover the importance of data quality, access, and interoperability among entities and people, including processes f

0 views • 9 slides

This workshop focuses on SPLICE initiative, funded by NSF, which aims to support collaborative research and community-building in computer science education. The project emphasizes developing standards, protocols, and learning infrastructure to enhance computing education. Accomplishments include th

0 views • 14 slides

Open government data and sustainable development goals go hand in hand, promoting transparency, accountability, and access to public information. Openness in data allows for universal participation, interoperability, and value creation. By striving for sustainable development and embracing open gove

2 views • 24 slides

Linked Data is a publishing paradigm that elevates both web pages and data to first-class citizens of the Web, enabling a global data space evolution. This concept, as explored in Geoscience Australia, involves the utilization of Semantic Web standards to promote common data formats and exchange pro

1 views • 23 slides

Data preparation, also known as data pre-processing, is a crucial step in the data mining process. It involves transforming raw data into a clean, structured format that is optimal for analysis. Proper data preparation ensures that the data is accurate, complete, and free of errors, allowing mining

0 views • 37 slides

In this comprehensive overview, explore the evolution of file system enhancements from Versions 10.1 to 14.0, including large span files, interoperability improvements, journaling advancements, data compatibility issues, and extended error reporting. Discover the progression towards default creation

1 views • 39 slides

Metaverse standards and interoperability are crucial for unleashing the full potential of this transformative technology. However, the lack of common agreement on what a metaverse entails poses challenges. The MPAI roadmap addresses key steps towards achieving interoperability, including developing

0 views • 17 slides

Open Field Message Bus (OpenFMB) is a framework and reference architecture designed to enable interoperability for Distributed Intelligence Applications, focusing on cybersecurity, microgrids, Distributed Energy Resources (DER), and more. It provides a standard API for Electric Grid interoperability

0 views • 16 slides

XTCE (XML Telemetric and Command Exchange) and SEDS (Space Experiments Data System) are essential tools in mission operations. XTCE serves as a standard database language for telemetry and commanding, while SEDS provides a platform for managing space experiment data. These tools are related through

0 views • 13 slides