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| data impact assessment template: High-Impact Assessment Reports for Children and Adolescents Robert Lichtenstein, Bruce Ecker, 2019-02-07 Assessment provides rich opportunities for understanding the needs of children and adolescents, yet reports are often hard for parents, teachers, and other consumers to comprehend and utilize. This book provides step-by-step guidelines for creating psychoeducational and psychological reports that communicate findings clearly, promote collaboration, and maximize impact. Effective practices for written and oral reporting are presented, including what assessment data to emphasize, how to organize reports and convey test results, and how to craft useful recommendations. In a large-size format for easy photocopying, the book includes sample reports, training exercises, and reproducible templates, rubrics, and forms. Purchasers get access to a Web page where they can download and print the reproducible materials. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas. |
| data impact assessment template: The Risk-Based Approach to Data Protection Raphaël Gellert, 2020-10-06 The concept of a risk-based approach to data protection came to the fore during the overhaul process of the EU's General Data Protection Regulation (GDPR). At its core, it consists of endowing the regulated organizations that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. This book provides a comprehensive analysis of this legal and policy development, which considers a legal, historical, and theoretical perspective. By framing the risk-based approach as a sui generis implementation of a specific regulation model 'known as meta regulation, this book provides a recollection of the policy developments that led to the adoption of the risk-based approach in light of regulation theory and debates. It also discusses a number of salient issues pertaining to the risk-based approach, such as its rationale, scope, and meaning; the role for regulators; and its potential and limits. The book also looks at they way it has been undertaken in major statutes with a focus on key provisions, such as data protection impact assessments or accountability. Finally, the book devotes considerable attention to the notion of risk. It explains key terms such as risk assessment and management. It discusses in-depth the role of harms in data protection, the meaning of a data protection risk, and the difference between risks and harms. It also critically analyses prevalent data protection risk management methodologies and explains the most important caveats for managing data protection risks. |
| data impact assessment template: Good Data Angela Daly, Monique Mann, S. Kate Devitt, 2019-01-23 Moving away from the strong body of critique of pervasive ?bad data? practices by both governments and private actors in the globalized digital economy, this book aims to paint an alternative, more optimistic but still pragmatic picture of the datafied future. The authors examine and propose ?good data? practices, values and principles from an interdisciplinary, international perspective. From ideas of data sovereignty and justice, to manifestos for change and calls for activism, this collection opens a multifaceted conversation on the kinds of futures we want to see, and presents concrete steps on how we can start realizing good data in practice. |
| data impact assessment template: Risk Assessment Supremus Group LLC, 2012-04-27 The objective of this document is to help your business conduct a Risk Assessment, which identifies current risks and threats to the business and implement measures to eliminate or reduce those potential risks. This document provides guidance on how to conduct the Risk Assessment, analyze the information that is collected, and implement strategies that will allow your business to manage the risk. |
| data impact assessment template: Executing Data Quality Projects Danette McGilvray, 2021-05-27 Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online |
| data impact assessment template: Guide to Protecting the Confidentiality of Personally Identifiable Information Erika McCallister, 2010-09 The escalation of security breaches involving personally identifiable information (PII) has contributed to the loss of millions of records over the past few years. Breaches involving PII are hazardous to both individuals and org. Individual harms may include identity theft, embarrassment, or blackmail. Organ. harms may include a loss of public trust, legal liability, or remediation costs. To protect the confidentiality of PII, org. should use a risk-based approach. This report provides guidelines for a risk-based approach to protecting the confidentiality of PII. The recommend. here are intended primarily for U.S. Fed. gov¿t. agencies and those who conduct business on behalf of the agencies, but other org. may find portions of the publication useful. |
| data impact assessment template: The Data Protection Officer Paul Lambert, 2016-11-25 The EU's General Data Protection Regulation created the position of corporate Data Protection Officer (DPO), who is empowered to ensure the organization is compliant with all aspects of the new data protection regime. Organizations must now appoint and designate a DPO. The specific definitions and building blocks of the data protection regime are enhanced by the new General Data Protection Regulation and therefore the DPO will be very active in passing the message and requirements of the new data protection regime throughout the organization. This book explains the roles and responsiblies of the DPO, as well as highlights the potential cost of getting data protection wrong. |
| data impact assessment template: The Assessment List for Trustworthy Artificial Intelligence (ALTAI) Pekka Ala-Pietilä , Yann Bonnet, Urs Bergmann, Maria Bielikova , Cecilia Bonefeld-Dahl, Wilhelm Bauer, Loubna Bouarfa , Raja Chatila, Mark Coeckelbergh , Virginia Dignum , Jean-Francois Gagné , Joanna Goodey, Sami Haddadin , Gry Hasselbalch, Fredrik Heintz, Fanny Hidvegi , Klaus Höckner, Mari-Noëlle Jégo-Laveissière, Leo Kärkkäinen, Sabine Theresia Köszegi , Robert Kroplewski , Ieva Martinkenaite, Raoul Mallart , Catelijne Muller, Cécile Wendling , Barry O’Sullivan , Ursula Pachl, Nicolas Petit , Andrea Renda, Francesca Rossi , Karen Yeung, Françoise Soulié Fogelman , Jaan Tallinn , Jakob Uszkoreit , Aimee Van Wynsberghe , 2020-07-17 On the 17 of July 2020, the High-Level Expert Group on Artificial Intelligence (AI HLEG) presented their final Assessment List for Trustworthy Artificial Intelligence. Following a piloting process where over 350 stakeholders participated, an earlier prototype of the list was revised and translated into a tool to support AI developers and deployers in developing Trustworthy AI. The tool supports the actionability the key requirements outlined by the Ethics Guidelines for Trustworthy Artificial Intelligence (AI), presented by the High-Level Expert Group on AI (AI HLEG) presented to the European Commission, in April 2019. The Ethics Guidelines introduced the concept of Trustworthy AI, based on seven key requirements: human agency and oversight technical robustness and safety privacy and data governance transparency diversity, non-discrimination and fairness environmental and societal well-being and accountability Through the Assessment List for Trustworthy AI (ALTAI), AI principles are translated into an accessible and dynamic checklist that guides developers and deployers of AI in implementing such principles in practice. ALTAI will help to ensure that users benefit from AI without being exposed to unnecessary risks by indicating a set of concrete steps for self-assessment. Download the Assessment List for Trustworthy Artificial Intelligence (ALTAI) (.pdf) The ALTAI is also available in a web-based tool version. More on the ALTAI web-based tool: https://futurium.ec.europa.eu/en/european-ai-alliance/pages/altai-assessment-list-trustworthy-artificial-intelligence |
| data impact assessment template: Privacy & Data Protection Practitioner Courseware - English Marios Siathas, 2018-02-25 Besides the Privacy & Data Protection Practitioner Courseware - English (ISBN: 9789401803595) publication you are advised to obtain the publications: - EU GDPR, A pocket guide (ISBN: 978 1 849 2855 5) - Data Protection and Privacy Management System. Data Protection and Privacy Guide - Vol. 1 (ISBN 978 87 403 1540 0) With the ever increasing explosion of information flooding the internet, every company needs to plan how to manage and protect privacy of persons and their data. Not without a reason, many new laws - in the EU as well as in the USA and many other regions - are being formed in order to regulate both. The European Commission has just published the EU General Data Protection Regulation (GDPR), meaning that all organizations concerned need to comply with specific rules. This Practitioner certification builds on the subjects covered by the Foundation exam by focusing on the development and implementation of policies and procedures in order to comply with existing and new legislation, application of privacy and data protection guidelines and best practices, and by establishing a Data and Privacy Protection Management System. This Practitioner level certification will be particularly useful to Data Protection Officers (DPOs) / Privacy Officers, Legal / Compliance Officers, Security Officers, Business Continuity Managers, Data Controllers, Data Protection Auditors (internal and external), Privacy Analyst and HR managers. As this is an advanced-level certification, it is highly recommended to previously have successfully passed Data Protection Foundation. |
| data impact assessment template: Privacy and Identity Management. Data for Better Living: AI and Privacy Michael Friedewald, Melek Önen, Eva Lievens, Stephan Krenn, Samuel Fricker, 2020-03-10 This book contains selected papers presented at the 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Windisch, Switzerland, in August 2019. The 22 full papers included in this volume were carefully reviewed and selected from 31 submissions. Also included are reviewed papers summarizing the results of workshops and tutorials that were held at the Summer School as well as papers contributed by several of the invited speakers. The papers combine interdisciplinary approaches to bring together a host of perspectives, which are reflected in the topical sections: language and privacy; law, ethics and AI; biometrics and privacy; tools supporting data protection compliance; privacy classification and security assessment; privacy enhancing technologies in specific contexts. The chapters What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking and Privacy Implications of Voice and Speech Analysis - Information Disclosure by Inference are open access under a CC BY 4.0 license at link.springer.com. |
| data impact assessment template: Social Impact Assessment Reidar Kvam, 2018-06-01 This note provides an overview of good practice standards in Social Impact Assessment (SIA). It has been prepared by the Inter-American Development Bank (IDB), to provide guidance to practitioners and decision-makers. By applying the approach presented in this note, it is expected that the quality, consistency, and operational relevance of SIAs will improve. SIA facilitates the systematic integration of social issues in the planning and implementation of projects. It improves the quality and sustainability of projects, supports and strengthens national requirements, and enhances project acceptance and local ownership. The SIA helps to identify and manage potential adverse social impacts a project may cause or contribute to, and to maximize benefits to local communities and other groups. |
| data impact assessment template: Legislation in Europe Ulrich Karpen, Helen Xanthaki, 2020-12-10 Following on from the first volume, this unique book is the only collection of native analyses of the status of legislation in 30 European jurisdictions plus the EU. Each chapter, written by a national authority in the legislative field, presents and critically assesses: - the national constitutional environment and its connection with EU law; - the nature and types of legislation; - the legislative process; - the drafting process; - jurisprudence conventions; - the training of drafters. The book opens with a comparative chapter on the these six themes, and concludes with an analysis of trends and best practices in Europe. Legislation in Europe is a necessary addition to law and policy libraries, law-making institutions and agencies, and an invaluable tool for constitutional and drafting academics and practitioners. |
| data impact assessment template: Designing for Privacy and its Legal Framework Aurelia Tamò-Larrieux, 2018-11-03 This book discusses the implementation of privacy by design in Europe, a principle that has been codified within the European Data Protection Regulation (GDPR). While privacy by design inspires hope for future privacy-sensitive designs, it also introduces the need for a common understanding of the legal and technical concepts of privacy and data protection. By pursuing an interdisciplinary approach and comparing the problem definitions and objectives of both disciplines, this book bridges the gap between the legal and technical fields in order to enhance the regulatory and academic discourse. The research presented reveals the scope of legal principles and technical tools for privacy protection, and shows that the concept of privacy by design goes beyond the principle of the GDPR. The book presents an analysis of how current regulations delegate the implementation of technical privacy and data protection measures to developers and describes how policy design must evolve in order to implement privacy by design and default principles. |
| data impact assessment template: Electricity Decentralization in the European Union Rafael Leal-Arcas, 2023-07-10 Electricity Decentralization in the European Union: Towards Zero Carbon and Energy Transition, Second Edition examines progress in decentralization across the European Union, with each chapter focusing on developments and innovations in a specific country. Sections provide an overview of the current role and state of smart grids, the conceptualization of energy transition, and specific cases across all EU states. Across the chapters, regulatory frameworks are assessed to identify to what extent it is conducive to decentralization, with specific outcomes of decentralization covered in detail, including deployment of smart grids and meters, demand response, electric vehicles, and storage. The book highlights how specific EU member states are progressing towards deployment of these tools and technologies, along with the specific needs and regulatory barriers in each and recommendations for how regulation can be more encouraging. In addition, electricity interconnections in the EU are considered as a vital step towards decentralization in order to boost energy security and energy efficiency. Finally, the book includes a detailed examination of data protection concerns that arise from the advent of new technologies that collect personal information, such as smart grids, assessing current regulation on data protection and identifying areas for improvement, as well as innovative finance options for sustainable energy. - Analyzes the regulatory environment with regard to decentralization - Explores new tools and technologies to facilitate decentralization, along with current progress in each - Addresses barriers and suggests improvements across tools, technologies and regulations |
| data impact assessment template: Privacy Technologies and Policy Erich Schweighofer, Herbert Leitold, Andreas Mitrakas, Kai Rannenberg, 2017-10-10 This book constitutes the thoroughly refereed post-conference proceedings of the 5th Annual Privacy Forum, APF 2017, held in Vienna, Austria, in June 2017. The 12 revised full papers were carefully selected from 41 submissions on the basis of significance, novelty, and scientific quality. These selected papers are organized in three different chapters corresponding to the conference sessions. The first chapter, “Data Protection Regulation”, discusses topics concerning big genetic data, a privacy-preserving European identity ecosystem, the right to be forgotten und the re-use of privacy risk analysis. The second chapter, “Neutralisation and Anonymization”, discusses neutralisation of threat actors, privacy by design data exchange between CSIRTs, differential privacy and database anonymization. Finally, the third chapter, “Privacy Policies in Practice”, discusses privacy by design, privacy scores, privacy data management in healthcare and trade-offs between privacy and utility. |
| data impact assessment template: Monitoring, evaluation, learning and impact assessment and scaling preparedness and action (MELIA&SPA) Minh, Thai Thi, 2022-09-01 Focusing on bundling innovations to co-develop scalable bundles, the Rethinking Food Markets and VCs for Inclusion and Sustainability Initiative develops and applies its monitoring, evaluation, learning and impact assessment, and scaling preparedness and action (MELIA&SPA) framework from a process-based perspective. This MELIA&SPA framework aims to co-developing the scaling preparedness to enhance the scalability of the bundle, and to build market actors’ and relevant stakeholders’ ability to adopt innovation bundles and accelerate the scaling while responding effectively to changes and trade-offs coming. To achieve these, the MELIA (monitoring, evaluation, learning, and impact assessment) emphasizes ensuring the initiative’s impacts on malnutrition reduction, food safety, income and job, small producers’ livelihood, social and gender inclusion, GHG emissions, climate adaptation, and sustainable land and water resources. The SPA (scaling preparedness and actions) enhances the scalability and accelerate the scale of the innovation bundles developed by the Work packages (WPs). The SPA contains exploring intervention and scaling context and options for the piloted innovation bundles, co-designing the piloted innovation bundles with and for the value chain actors, and codeveloping the scaling preparedness and strategies to build the ability for market actors and relevant stakeholders to adopt and accelerate the investment in scalable innovation bundles. |
| data impact assessment template: Privacy Impact Assessment David Wright, Paul de Hert, 2012-01-31 Virtually all organisations collect, use, process and share personal data from their employees, customers and/or citizens. In doing so, they may be exposing themselves to risks, from threats and vulnerabilities, of that data being breached or compromised by negligent or wayward employees, hackers, the police, intelligence agencies or third-party service providers. A recent study by the Ponemon Institute found that 70 per cent of organisations surveyed had suffered a data breach in the previous year. Privacy impact assessment is a tool, a process, a methodology to identify, assess, mitigate or avoid privacy risks and, in collaboration with stakeholders, to identify solutions. Contributors to this book – privacy commissioners, academics, consultants, practitioners, industry representatives – are among the world’s leading PIA experts. They share their experience and offer their insights to the reader in the policy and practice of PIA in Australia, Canada, New Zealand, the United Kingdom, the United States and elsewhere. This book, the first such on privacy impact assessment, will be of interest to any organisation that collects or uses personal data and, in particular, to regulators, policy-makers, privacy professionals, including privacy, security and information officials, consultants, system architects, engineers and integrators, compliance lawyers and marketing professionals. In his Foreword, surveillance studies guru Gary Marx says, “This state-of-the-art book describes the most comprehensive tool yet available for policy-makers to evaluate new personal data information technologies before they are introduced.” This book could save your organisation many thousands or even millions of euros (or dollars) and the damage to your organisation’s reputation and to the trust of employees, customers or citizens if it suffers a data breach that could have been avoided if only it had performed a privacy impact assessment before deploying a new technology, product, service or other initiative involving personal data. |
| data impact assessment template: Data Protection and Privacy: (In)visibilities and Infrastructures Ronald Leenes, Rosamunde van Brakel, Serge Gutwirth, Paul De Hert, 2017-02-07 This book features peer reviewed contributions from across the disciplines on themes relating to protection of data and to privacy protection. The authors explore fundamental and legal questions, investigate case studies and consider concepts and tools such as privacy by design, the risks of surveillance and fostering trust. Readers may trace both technological and legal evolution as chapters examine current developments in ICT such as cloud computing and the Internet of Things. Written during the process of the fundamental revision of revision of EU data protection law (the 1995 Data Protection Directive), this volume is highly topical. Since the European Parliament has adopted the General Data Protection Regulation (Regulation 2016/679), which will apply from 25 May 2018, there are many details to be sorted out. This volume identifies and exemplifies key, contemporary issues. From fundamental rights and offline alternatives, through transparency requirements to health data breaches, the reader is provided with a rich and detailed picture, including some daring approaches to privacy and data protection. The book will inform and inspire all stakeholders. Researchers with an interest in the philosophy of law and philosophy of technology, in computers and society, and in European and International law will all find something of value in this stimulating and engaging work. |
| data impact assessment template: The Semantic Web: ESWC 2021 Satellite Events Ruben Verborgh, Anastasia Dimou, Aidan Hogan, Claudia d'Amato, Ilaria Tiddi, Arne Bröring, Simon Mayer, Femke Ongenae, Riccardo Tommasini, Mehwish Alam, 2021-07-20 This book constitutes the proceedings of the satellite events held at the 18th Extended Semantic Web Conference, ESWC 2021, in June 2021. The conference was held online, due to the COVID-19 pandemic. During ESWC 2021, the following six workshops took place: 1) the Second International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) 2) the Second International Workshop on Semantic Digital Twins (SeDiT 2021) 3) the Second International Workshop on Knowledge Graph Construction (KGC 2021) 5) the 6th International Workshop on eXplainable SENTIment Mining and EmotioN deTection (X-SENTIMENT 2021) 6) the 4th International Workshop on Geospatial Linked Data (GeoLD 2021). |
| data impact assessment template: Information Security Planning Susan Lincke, 2024-01-16 This book demonstrates how information security requires a deep understanding of an organization's assets, threats and processes, combined with the technology that can best protect organizational security. It provides step-by-step guidance on how to analyze business processes from a security perspective, while also introducing security concepts and techniques to develop the requirements and design for security technologies. This interdisciplinary book is intended for business and technology audiences, at student or experienced levels. Organizations must first understand the particular threats that an organization may be prone to, including different types of security attacks, social engineering, and fraud incidents, as well as addressing applicable regulation and security standards. This international edition covers Payment Card Industry Data Security Standard (PCI DSS), American security regulation, and European GDPR. Developing a risk profile helps to estimate the potential costs that an organization may be prone to, including how much should be spent on security controls. Security planning then includes designing information security, as well as network and physical security, incident response and metrics. Business continuity considers how a business may respond to the loss of IT service. Optional areas that may be applicable include data privacy, cloud security, zero trust, secure software requirements and lifecycle, governance, introductory forensics, and ethics. This book targets professionals in business, IT, security, software development or risk. This text enables computer science, information technology, or business students to implement a case study for an industry of their choosing. . |
| data impact assessment template: Internet of Things, Threats, Landscape, and Countermeasures Stavros Shiaeles, Nicholas Kolokotronis, 2021-04-29 Internet of Things (IoT) is an ecosystem comprised of heterogeneous connected devices that communicate to deliver capabilities making our living, cities, transport, energy, and other areas more intelligent. This book delves into the different cyber-security domains and their challenges due to the massive amount and the heterogeneity of devices. This book introduces readers to the inherent concepts of IoT. It offers case studies showing how IoT counteracts the cyber-security concerns for domains. It provides suggestions on how to mitigate cyber threats by compiling a catalogue of threats that currently comprise the contemporary threat landscape. It then examines different security measures that can be applied to system installations or operational environment and discusses how these measures may alter the threat exploitability level and/or the level of the technical impact. Professionals, graduate students, researchers, academicians, and institutions that are interested in acquiring knowledge in the areas of IoT and cyber-security, will find this book of interest. |
| data impact assessment template: Data Protection and Privacy, Volume 16 Hideyuki Matsumi, Dara Hallinan, Diana Dimitrova, Eleni Kosta, Paul De Hert, 2024-05-02 This book explores the complexity and depths of our digital world by providing a selection of analyses and discussions from the 16th annual international conference on Computers, Privacy and Data Protection (CPDP): Ideas that Drive Our Digital World. The first half of the book focuses on issues related to the GDPR and data. These chapters provide a critical analysis of the 5-year history of the complex GDPR enforcement system, covering: codes of conduct as a potential co-regulation instrument for the market; an interdisciplinary approach to privacy assessment on synthetic data; the ethical implications of secondary use of publicly available personal data; and automating technologies and GDPR compliance. The second half of the book shifts focus to novel issues and ideas that drive our digital world. The chapters offer analyses on social and environmental sustainability of smart cities; reconstructing states as information platforms; stakeholder identification using the example of video-based Active and Assisted Living (AAL); and a human-centred approach to dark patterns. This interdisciplinary book takes readers on an intellectual journey into a wide range of issues and cutting-edge ideas to tackle our ever-evolving digital landscape. |
| data impact assessment template: Requirements Engineering for Digital Health Samuel A. Fricker, Christoph Thümmler, Anastasius Gavras, 2014-11-14 Healthcare and well-being have captured the attention of established software companies, start-ups, and investors. Software is starting to play a central role for addressing the problems of the aging society and the escalating cost of healthcare services. Enablers of such digital health are a growing number of sensors for sensing the human body and communication infrastructure for remote meetings, data sharing, and messaging. The challenge that lies in front of us is how to effectively make use of these capabilities, for example to empower patients and to free the scarce resources of medical personnel. Requirements engineering is the process by which the capabilities of a software product are aligned with stakeholder needs and a shared understanding between the stakeholders and development team established. This book provides guide for what to look for and do when inquiring and specifying software that targets healthcare and well-being, helping readers avoid the pitfalls of the highly regulated and sensible healthcare domain are and how they can be overcome. This book brings together the knowledge of 22 researchers, engineers, lawyers, and CEOs that have experience in the development of digital health solutions. It represents a unique line-up of best practices and recommendations of how to engineer requirements for digital health. In particular the book presents: · The area of digital health, e-health, and m-health · Best practice for requirements engineering based on evidence from a large number of projects · Practical step-by-step guidelines, examples, and lessons-learned for working with laws, regulations, ethical issues, interoperability, user experience, security, and privacy · How to put these many concerns together for engineering the requirements of a digital health solution and for scaling a digital health product For anybody who intends to develop software for digital health, this book is an introduction and reference with a wealth of actionable insights. For students interested in understanding how to apply software to healthcare, the text introduces key topics and guides further studies with references to important literature. |
| data impact assessment template: The 90-day Sprint to Accelerate Data-Driven Transformation Jit Papneja, 2023-12-12 “The 90 Day Sprint is a game-changer in the world of data strategy. Jit Papneja has distilled complex concepts into a concise, actionable guide that empowers businesses to unlock the true value of their data. This book is an indispensable companion for anyone navigating the challenges of the data landscape, providing invaluable insights that are both practical and transformative. A must primer for all organizations that want to use their data to drive growth.” - Dr. Jyo Jain, Ph.D., Head of Strategic Insights & Analytics, J&J MedTech Asia-Pacific “Jit Papneja has articulated a disciplined and comprehensive approach and framework for data strategy, governance, and management. This book is a great guide for those seeking to plan and execute a successful sprint for an effective data analytics transformation.” - Jatinder Ronny Bindra, Leader, Digital Products, Constellation Brands “Most transformation fails, not because of the plan, but because of the ability to execute the plan! The 90 Day Sprint, structured around the D.E.C.I.D.E.R model, is sure to strengthen any organization’s Data Driven transformation journey, through a creative step by step approach, based on real insights and learnings.” - Pete West, Sr. VP Marketing Transformation at Reynolds American Inc. Are you struggling to harness the power of data, AI, and Gen AI in your business? Are you feeling overwhelmed by the sheer volume of data at your disposal? Are you unsure how to implement and scale data-driven transformation? In today’s digital age, data, AI, and Gen AI are increasingly becoming the driving forces behind business growth, innovation, and competitive advantage. Organizations that harness data-driven insights are 23 times more likely to acquire customers, 6 times as likely to retain them, and 19 times more likely to achieve profitability. Organizations that apply personalization can realize $20 return on every $1 invested. However, this data-driven transformation is not a small feat and takes substantial resources, time, and careful planning. Think of this as a marathon with multiple sprints within, and the 90-day (13 weeks) sprint I have included in this book should serve as the essential kickstart for your journey and help you develop a robust plan for the transformation. This book will guide you through a comprehensive D.E.C.I.D.E.R. framework: setting up an agile cross-functional squad, formulating a robust data strategy, exploring, and prioritizing high-value use cases enriched with real-world success stories, launching empowered and governed self-service, and much more. With my practical advice and proven techniques, honed over 25 years of experience, you will unlock the full potential of data, and attain the data-driven success you’ve always aspired to achieve. So, why wait?Are you ready to be data-driven? Let’s get started! |
| data impact assessment template: Community Impact Assessment , 1996 This guide was written as a quick primer for transportation professionals and analysts who assess the impacts of proposed transportation actions on communities. It outlines the community impact assessment process, highlights critical areas that must be examined, identifies basic tools and information sources, and stimulates the thought-process related to individual projects. In the past, the consequences of transportation investments on communities have often been ignored or introduced near the end of a planning process, reducing them to reactive considerations at best. The goals of this primer are to increase awareness of the effects of transportation actions on the human environment and emphasize that community impacts deserve serious attention in project planning and development-attention comparable to that given the natural environment. Finally, this guide is intended to provide some tips for facilitating public involvement in the decision making process. |
| data impact assessment template: Drone Law and Policy Anthony A. Tarr, Julie-Anne Tarr, Maurice Thompson, Jeffrey Ellis, 2021-08-11 Drone Law and Policy describes the drone industry and its evolution, describing the benefits and risks of its exponential growth. It outlines the current and proposed regulatory framework in Australia, the United States, the United Kingdom and Europe, taking into consideration the current and evolving technological and insurance landscape. This book makes recommendations as to additional regulatory and insurance initiatives which the authors believe are necessary to achieve an effective balance between the various competing interests. The 23 chapters are written by global specialists on crucial topics, such as terrorism and security, airport and aircraft safety, maritime deployment, cyber-risks, regulatory oversight, licensing, standards and insurance. This book will provide authoritative reference and expert guidance for regulators and government agencies, legal practitioners, insurance companies and brokers globally, as well as for major organisations utilising drones in industrial applications. |
| data impact assessment template: Research Handbook on Privacy and Data Protection Law González, Gloria, Van Brakel, Rosamunde, De Hert, Paul, 2022-03-15 This Research Handbook is an insightful overview of the key rules, concepts and tensions in privacy and data protection law. It highlights the increasing global significance of this area of law, illustrating the many complexities in the field through a blend of theoretical and empirical perspectives. |
| data impact assessment template: Building Power, Safety, and Trust in Virtual Communities Darwish, Dina, 2024-09-27 Virtual communities are a new frontier in the digital landscape. While these spaces are only in their infancy, it will not be long before they become a part of much of the population’s daily life. Before that becomes the case, it is important that we instill guidelines and parameters to ensure that those interacting with these digital spaces feel safe within them and are able to use them to their fullest capacity. Building Power, Safety, and Trust in Virtual Communities examines how online groups help people learn and change the way they think. In this book, different people with different academic backgrounds, methods, and personal experience with virtual groups look at this question. Case studies are included to help exemplify these findings. Together, these chapters discuss how virtual communities are built in ways that thinkers, researchers, and practitioners can understand. |
| data impact assessment template: Handbook on Human Rights Impact Assessment Nora Götzmann, Human rights impact assessment (HRIA) has increasingly gained traction among state, business and civil society actors since the endorsement of the United Nations Guiding Principles on Business and Human Rights by the Human Rights Council in 2011. This timely and insightful Handbook addresses HRIA in the context of business and human rights. |
| data impact assessment template: Data Mining Linda D. Koontz, 2005-11 Data mining -- a technique for extracting knowledge from large volumes of data -- is being used increasingly by the gov't. & by the private sector. Many fed. data mining efforts involve the use of personal information, which can originate from gov't. sources as well as private sector organizations. The federal government's increased use of data mining since the terrorist attacks of Sept. 11, 2001, has raised public & congressional concerns. This report describes the characteristics of 5 federal data mining efforts & determines whether agencies are providing adequate privacy & security protection for the information systems used in the efforts & for individuals potentially affected by these data mining efforts. Includes recommendations. Charts & tables. |
| data impact assessment template: Life Cycle Assessment Kun-Mo Lee, 2004 |
| data impact assessment template: Secure IT Systems Aslan Askarov, René Rydhof Hansen, Willard Rafnsson, 2019-11-13 This book constitutes the refereed proceedings of the 24th Nordic Conference on Secure IT Systems, NordSec 2019, held in Aalborg, Denmark, in November 2019. The 17 full papers presented in this volume were carefully reviewed and selected from 32 submissions. They are organized in topical sections named: privacy; network security; platform security and malware; and system and software security. |
| data impact assessment template: Privacy Risk Analysis Sourya Joyee De, Daniel Le Métayer, 2016-09-06 Privacy Risk Analysis fills a gap in the existing literature by providing an introduction to the basic notions, requirements, and main steps of conducting a privacy risk analysis. The deployment of new information technologies can lead to significant privacy risks and a privacy impact assessment should be conducted before designing a product or system that processes personal data. However, if existing privacy impact assessment frameworks and guidelines provide a good deal of details on organizational aspects (including budget allocation, resource allocation, stakeholder consultation, etc.), they are much vaguer on the technical part, in particular on the actual risk assessment task. For privacy impact assessments to keep up their promises and really play a decisive role in enhancing privacy protection, they should be more precise with regard to these technical aspects. This book is an excellent resource for anyone developing and/or currently running a risk analysis as it defines the notions of personal data, stakeholders, risk sources, feared events, and privacy harms all while showing how these notions are used in the risk analysis process. It includes a running smart grids example to illustrate all the notions discussed in the book. |
| data impact assessment template: Official (ISC)2 Guide to the CISSP CBK Steven Hernandez, CISSP, 2006-11-14 The urgency for a global standard of excellence for those who protect the networked world has never been greater. (ISC)2 created the information security industry’s first and only CBK®, a global compendium of information security topics. Continually updated to incorporate rapidly changing technologies and threats, the CBK continues to serve as the basis for (ISC)2’s education and certification programs. Unique and exceptionally thorough, the Official (ISC)2® Guide to the CISSP®CBK®provides a better understanding of the CISSP CBK — a collection of topics relevant to information security professionals around the world. Although the book still contains the ten domains of the CISSP, some of the domain titles have been revised to reflect evolving terminology and changing emphasis in the security professional’s day-to-day environment. The ten domains include information security and risk management, access control, cryptography, physical (environmental) security, security architecture and design, business continuity (BCP) and disaster recovery planning (DRP), telecommunications and network security, application security, operations security, legal, regulations, and compliance and investigations. Endorsed by the (ISC)2, this valuable resource follows the newly revised CISSP CBK, providing reliable, current, and thorough information. Moreover, the Official (ISC)2® Guide to the CISSP® CBK® helps information security professionals gain awareness of the requirements of their profession and acquire knowledge validated by the CISSP certification. The book is packaged with a CD that is an invaluable tool for those seeking certification. It includes sample exams that simulate the actual exam, providing the same number and types of questions with the same allotment of time allowed. It even grades the exam, provides correct answers, and identifies areas where more study is needed. |
| data impact assessment template: Official (ISC)2® Guide to the CISSP®-ISSEP® CBK® Susan Hansche, 2005-09-29 The Official (ISC)2® Guide to the CISSP®-ISSEP® CBK® provides an inclusive analysis of all of the topics covered on the newly created CISSP-ISSEP Common Body of Knowledge. The first fully comprehensive guide to the CISSP-ISSEP CBK, this book promotes understanding of the four ISSEP domains: Information Systems Security Engineering (ISSE); Certification and Accreditation; Technical Management; and an Introduction to United States Government Information Assurance Regulations. This volume explains ISSE by comparing it to a traditional Systems Engineering model, enabling you to see the correlation of how security fits into the design and development process for information systems. It also details key points of more than 50 U.S. government policies and procedures that need to be understood in order to understand the CBK and protect U.S. government information. About the Author Susan Hansche, CISSP-ISSEP is the training director for information assurance at Nortel PEC Solutions in Fairfax, Virginia. She has more than 15 years of experience in the field and since 1998 has served as the contractor program manager of the information assurance training program for the U.S. Department of State. |
| data impact assessment template: Official (ISC)2 Guide to the CISSP CBK CISSP, Steven Hernandez, 2016-04-19 The urgency for a global standard of excellence for those who protect the networked world has never been greater. (ISC)2 created the information security industry's first and only CBK, a global compendium of information security topics. Continually updated to incorporate rapidly changing technologies and threats, the CBK conti |
| data impact assessment template: Elgar Encyclopedia of Law and Data Science Comandé, Giovanni, 2022-02-18 This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability. |
| data impact assessment template: Handbook on Impact Evaluation Shahidur R. Khandker, Gayatri B. Koolwal, Hussain A. Samad, 2009-10-13 Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. |
| data impact assessment template: Cornerstone on Social Housing Fraud Cornerstone Barristers, Andrew Lane, 2021-06-17 In response to social housing fraud, the Government introduced the Prevention of Social Housing Fraud Act 2013, which made sub-letting and parting with possession of social lets a specific criminal offence and granted local authorities the power to prosecute those who had acted in such a manner. Not only can offenders be jailed, but they can also be fined and ordered to pay an unlawful profit order, thus opening up a revenue opportunity to cash-strapped social landlords. Social housing fraud is an important and high profile issue. This title provides a thorough overview of this regime and how local authorities can maximise their chances of recovering possession of properties affected by fraud, obtaining 'compensation' and securing a conviction, including techniques for effective evidence gathering. Topics covered, include: - Possession action in the county court - Sub-letting/parting with possession - Investigation powers - Criminal offences and procedure - Civil remedies - GDPR and the Data Protection Act 2018 For ease of reference, relevant primary and secondary legislation has been included within the appendices, which also includes templates for: Particulars of Claim (county court), Complaint (magistrates' court) Notice to Quit and Notice Seeking Possession. There is also a useful landlord checklist, to ensure nothing has been overlooked during what can be a complex process. |
| data impact assessment template: Information Law Charles Oppenheim, Adrienne Muir, Naomi Korn, 2020-06-26 Library, information and knowledge professionals are often at the front line of managing and monitoring their organisation’s legal compliance and have roles and responsibilities in both complying with the law and taking advantage of its provisions. To do their jobs effectively, they need not only to understand the law, but also to develop the skills, confidence and organisational policy frameworks to apply the law’s principles to their context of use. They need the knowledge and skills to help them decide what is acceptable and to develop appropriate risk aware approaches when things are not clear-cut. Information Law: Compliance for librarians, information professionals and knowledge managers provides an overview of important information law issues along with tools and guidance to help readers establish a framework so that their organisation can both comply with its legal responsibilities and support a suitably risk aware environment which optimises access and use. Based on the authors’ many years in professional practice and on their proven ‘Compliance Methodology’, it will help readers understand the legal issues that are central to the information they hold or that they wish to access. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a Transnationa…
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and …
Belmont Forum Adopts Open Data Principles for Environmental Chan…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
