Canada's Action Plan on Open Government
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Licensing Open Government Data Jyh-An Lee
Hastings Business Law Journal Volume 13 Article 2 Number 2 Winter 2017 Winter 2017 Licensing Open Government Data Jyh-An Lee Follow this and additional works at: https://repository.uchastings.edu/ hastings_business_law_journal Part of the Business Organizations Law Commons Recommended Citation Jyh-An Lee, Licensing Open Government Data, 13 Hastings Bus. L.J. 207 (2017). Available at: https://repository.uchastings.edu/hastings_business_law_journal/vol13/iss2/2 This Article is brought to you for free and open access by the Law Journals at UC Hastings Scholarship Repository. It has been accepted for inclusion in Hastings Business Law Journal by an authorized editor of UC Hastings Scholarship Repository. For more information, please contact [email protected]. 2 - LEE MACROED.DOCX (DO NOT DELETE) 5/5/2017 11:09 AM Licensing Open Government Data Jyh-An Lee* Governments around the world create and collect an enormous amount of data that covers important environmental, educational, geographical, meteorological, scientific, demographic, transport, tourism, health insurance, crime, occupational safety, product safety, and many other types of information.1 This data is generated as part of a government’s daily functions.2 Given government data’s exceptional social and economic value, former U.S. President Barack Obama described it as a “national asset.”3 For various policy reasons, open government data (“OGD”) has become a popular governmental practice and international * Assistant Professor at the Faculty of Law in the Chinese University -
Canada's Action Plan on Open Government 2014-16, Canada’S Second Open Government Plan to the Open Government Partnership (OGP)
UNCLASSIFIED / NON CLASSIFIÉ CANADA’S ACTION PLAN ON OPEN GOVERNMENT 2014-2016 End-of-Term Self-Assessment Report January 2017 UNCLASSIFIED / NON CLASSIFIÉ UNCLASSIFIED / NON CLASSIFIÉ Contents Canada’s Action Plan on Open Government 2014-2016 .............................................................................. 4 1. Introduction and Background ............................................................................................................... 4 2. Action Plan Process ............................................................................................................................... 4 3. Independent Reporting Mechanism Recommendations ...................................................................... 5 4. Implementation of Action Plan Commitments ..................................................................................... 7 Commitment 1: Directive on Open Government.................................................................................. 8 Commitment 2: Open Data Canada ...................................................................................................... 9 Commitment 3: Canadian Open Data Exchange (ODX) ...................................................................... 11 Commitment 4: Open Data for Development (OD4D)........................................................................ 14 Commitment 5: Open Data Core Commitment .................................................................................. 17 Commitment 6: Open Science ........................................................................................................... -
Open Government Action Plan Initiative Interim Report
Open Government Action Plan Initiative Interim Report Date: February 27, 2014 [Final Version] © 2014 Delvinia www.delvinia.com 2 TABLE OF CONTENTS PROJECT BACKGROUND AND OBJECTIVE ............................................................... 4 APPROACH .................................................................................................................... 4 KEY FINDINGS ............................................................................................................... 7 NEXT STEPS ................................................................................................................ 14 APPENDIX A: BEST PRACTICE REVIEW ................................................................... 16 EXECUTIVE SUMMARY ......................................................................................................................... 16 INTRODUCTIONS ................................................................................................................................... 17 OPEN ENGAGEMENT ............................................................................................................................ 17 OPEN GOVERNANCE ............................................................................................................................ 25 ACCESS TO INFORMATION .................................................................................................................. 31 OPEN DATA ........................................................................................................................................... -
Jordana George Diss
ABSTRACT Transforming Viscous Data into Liquid Data: How Does Intermediating through Digital Platforms Impact Data? Jordana Jeanne George, Ph.D. Mentor: Dorothy E. Leidner, Ph.D. This study examines how a data platform intermediary enables the evolution of viscous data into liquid data. Viscous, or difficult to use, data is the result of data usage problems that often plague information systems. Data may be viscous because of poor quality, staleness, size issues, unusable formats, missing metadata, unknown history, mysterious provenance, poor access for users, and inability to move data between systems. Viscous data is problematic to use and difficult to incorporate into decision making. On the other hand, liquid data is high quality, formatted to be machine-readable, has provenance and metadata, is easy to move in and out of different systems, is accessible by users, and lends itself well to being used for decision making. Using a longitudinal case study that follows a data platform intermediary startup company from late 2015 to 2018, I break down elements of the platform into data users, data providers, and data intermediaries. Using a lens from the Community of Practice literature, I show how social learning, data wrangling, data complementing, and data liberalizing on a digital data platform transform data from viscous to liquid. This work contributes by providing a different perspective to data management, a means to address a dearth of data skills, and a way to make data more usable for both individuals and institutions. Transforming Viscous Data into Liquid Data: How Does Intermediating through Digital Platforms Impact Data by Jordana J. -
1. Executive Summary 2. Open Data Overview
1. Executive Summary Open data is structured, machine-readable data that is freely shared, used and built on without restrictions or cost. Advocates and organizations such as the Global Open Data Initiative say that data owned by governments should be publicly accessible, since public money was used to fund the work. The open data movement is gaining momentum worldwide and open data has been adopted in over 50 Canadian municipalities. In mid-2015, an Open Data Portal will be made available online where anyone can download the City of Greater Sudbury’s available open data for free. Staff will continue to proactively publish datasets on the portal after the launch and the public may also make suggestions about datasets that could be released as open data. This program will be implemented on an ongoing basis and within existing resources. 2. Open Data Overview Open data is provided in machine-readable format and with a licence that has few restrictions, so that the data can easily be re-used. Datasets released as open data are provided as collected, unless privacy, contractual, security, privilege or other limitations restrict the release of all or parts of the data in the dataset. An example of municipal government open data is a Microsoft Excel file listing bus stop locations. Open Data in Other Canadian Municipalities In 2009, the City of Nanaimo was the first municipality to implement open data in Canada. Since then, over 50 Canadian municipalities and regions have released their own open data catalogues, 18 of which are in Ontario. Phone interviews have been conducted with 12 Canadian municipalities with open data programs to gather information, identify open data trends and get feedback on any lessons learned. -
Open Data Endgame Countering the Digital Consensus
CIGI Papers No. 186 — August 2018 Open Data Endgame Countering the Digital Consensus Bianca Wylie CIGI Papers No. 186 — August 2018 Open Data Endgame: Countering the Digital Consensus Bianca Wylie CIGI Masthead Executive President Rohinton P. Medhora Deputy Director, International Intellectual Property Law and Innovation Bassem Awad Chief Financial Officer and Director of Operations Shelley Boettger Director of the Global Economy Program Robert Fay Director of the International Law Research Program Oonagh Fitzgerald Director of the Global Security & Politics Program Fen Osler Hampson Director of Human Resources Laura Kacur Deputy Director, International Environmental Law Silvia Maciunas Deputy Director, International Economic Law Hugo Perezcano Díaz Director, Evaluation and Partnerships Erica Shaw Managing Director and General Counsel Aaron Shull Director of Communications and Digital Media Spencer Tripp Publications Publisher Carol Bonnett Senior Publications Editor Jennifer Goyder Publications Editor Susan Bubak Publications Editor Patricia Holmes Publications Editor Nicole Langlois Publications Editor Lynn Schellenberg Graphic Designer Melodie Wakefield For publications enquiries, please contact [email protected]. Communications For media enquiries, please contact [email protected]. @cigionline Copyright © 2018 by the Centre for International Governance Innovation The opinions expressed in this publication are those of the author and do not necessarily reflect the views of the Centre for International Governance Innovation or its Board of Directors. This work is licensed under a Creative Commons Attribution — Non-commercial — No Derivatives License. To view this license, visit (www.creativecommons.org/licenses/by-nc-nd/3.0/). For re-use or distribution, please include this copyright notice. Printed in Canada on paper containing 100% post-consumer fibre and certified by the Forest Stewardship Council® and the Sustainable Forestry Initiative. -
Data-Driven: Canada’S Economic Opportunity
Data-Driven: Canada’s Economic Opportunity Issues Paper Prepared by Dgen for the Business Council of Canada July 22, 2019 (Updated August 22) FOR DISCUSSION Table of Contents Executive Summary ..................................................................................................... 3 1. Introduction ............................................................................................................ 7 2. A Data-Driven World ............................................................................................... 7 2.1 The Economics of Data .................................................................................................8 2.2 The Business of Data ....................................................................................................9 2.3 The Politics of Data ..................................................................................................... 10 3. Policy Issues .......................................................................................................... 12 3.1 Privacy and Security ................................................................................................... 13 Consent and transparency .................................................................................................................. 13 Algorithms and automated decisions ................................................................................................. 14 Right to erasure ................................................................................................................................. -
Ostry Prize Public Policy & Governance Review
Vol 2., No 2. Spring 2011 Ostry Prize Public Policy & Governance Review #OpenData: Digital-Era Governance Thoroughbred or New Public Management Trojan Horse? Winner By Justin Longo Introduction University of Victoria Governments collect, generate and compile vast amounts of digitized data continually— e.g., census and survey work by public statistics agencies (Dillon, 2010), or the mon- Justin Longo is a doctoral candidate at the University itoring of system conditions across a range of domains from the natural environment to of Victoria studying the ef- fect of Web2.0 technology public health (Hodge and Longo, 2002)—as a purposeful data-collection activity aimed at and work-modes on the fuelling policy-oriented research. In addition, as governments do the things that governing policy process. His inter- est lies in the knowledge / entails—e.g., collecting vital statistics, administering the tax system, recording govern- decision interface in public policy with a specific focus ment operations activity, managing public infrastructure and natural resources, surveying on human-system / eco- and recording public and private lands, processing regulatory requirements, or managing system sustainability and mechanisms for citizen social service delivery—a wealth of digital data is amassed as a result (Cate, 2008). engagement. Advances in Web 2.0 (the social web) and Web 3.0 (the semantic web) technology and their applications, and the emergence of masses of rich data from “location-based services” (Ratti, Pulselli and Williams, 2006), continue to increase the flow, stock, and potential knowledge embedded within government data. With this growth in the volume of digital data and capacities for mining insights from it, calls for governments to provide open, easy-to-use and largely free-of-charge access to public data have grown in recent years (e.g., Lathrop and Ruma, 2010). -
Open Data a Global Perspective
Open Data A global perspective Wilson Suraweera, Centre for Global Health Research, St. Michael’s Hospital, Toronto, 15 November 2013 Data ? “Presentation of facts and ideas in a formalized manner suitable for the transmission and processing of some information process.” Finally Data is the human knowledge: understanding of nature or man-made mechanism Open data ? It can be summed up in the statement: “ A piece of data or content is open if anyone is free to use, reuse, and redistribute it” - See more at: http://opendefinition.org/ Open data philosophy • is the idea that certain data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control. • The goals of the open data movement are similar to those of other "Open" movements such as open source, open hardware, open content, and open access. • The philosophy behind open data has been long established, but the term "open data" itself is recent, gaining popularity with the rise of the Internet and World Wide Web and, especially, with the launch of open-data government initiatives such as Data.gov in US and Data.gov.uk in UK. Open Data sources open government data, is a tremendous resource that is as yet largely untapped. – Government data is public data by law, and therefore could be made open and made available for others to use. Many individuals and organizations collect a broad range of different types of data in order to perform their tasks open corporate data. Why is that of interest?. – It is already possible to point to a large number of areas where open government data is creating value. -
Strategies for Protecting Privacy in Open Data and Proactive Disclosure
Strategies for Protecting Privacy in Open Data and Proactive Disclosure Teresa Scassa* and Amy Conroy** Abstract In this paper, the authors explore strategies for balancing privacy with transparency in the release of government data and information as part of the growing global open government movement. The issue is important because government data or information may take many forms, may contain many different types of personal information, and may be released in a range of contexts. The legal framework is complex: personal information is typically not released as open data or under access to information regimes; nevertheless, in some cases transparency requirements take precedence over the protection of personal information. The open courts principle, for example, places a strong emphasis on transparency over privacy. The situation is complicated by the availability of technologies that facilitate widespread dissemination of information and that allow for the searching, combining and mining of information in ways that may permit the reidentification of individuals even within anonymized data sets. This paper identifies a number of strategies designed to assist in identifying whether government data sets or information contain personal information, whether it should be released notwithstanding the presence of the personal information, and what techniques might be used to minimize any possible adverse privacy impacts. INTRODUCTION ...................................................................................... 216 I. THE DEFINITION -
Open Data and Public Health
Pan American Journal Review of Public Health Open data and public health Marcelo D’Agostino,1 Noah O. Samuel,2 Maria Janina Sarol,2 Federico G. de Cosio,1 Myrna Marti,1 Tianyu Luo,3 Ian Brooks,2 and Marcos Espinal1 Suggested citation D’Agostino M, Samuel NO, Sarol MJ, de Cosio FG, Marti M, Luo T, et al. Open data and public health. Rev Panam Salud Publica. 2018;42:e66. https://doi.org/10.26633/RPSP.2018.66 ABSTRACT This article provides an overview of the intersection of open data and public health by first defining open government data, public health data, and other key concepts and relevant termi- nologies. There are differing perceptions on the urgency and importance of the openness of public health data. It has been established that disease outbreaks such as happened during the Ebola and Zika virus epidemics are indicative of the need for countries to develop a framework that will provide guidance for the management of public health data. Such a framework should ensure that data collected during public health emergencies are accessible to the appropriate authorities and in a form that can help with timely decision-making during such public health crises. In this article, we highlight available open data policies across many countries, includ- ing in the Americas. Our analysis shows that there are currently no articulated policy guide- lines for the collection and management of public health data across many countries, especially in Latin America. We propose that any national data governance strategy must address poten- tial benefits, possible risks, examples of data that could be shared, and the attributes of such data. -
Open Data and the Knowledge Society Open Data and the Knowledge Society
Wessels, Finn,Wessels, Sveinsdottir and Wadhwa Open Data and the Knowledge Society Knowledge the and Data Open Bridgette Wessels, Rachel Finn, Thordis Sveinsdottir and Kush Wadhwa Open Data and the Knowledge Society Open Data and the Knowledge Society Open Data and the Knowledge Society Bridgette Wessels, Rachel L. Finn, Kush Wadhwa and Thordis Sveinsdottir with Lorenzo Bigagli, Stefano Nativi and Merel Noorman Amsterdam University Press Cover design: Coördesign, Leiden Lay-out: Crius Group, Hulshout Amsterdam University Press English-language titles are distributed in the US and Canada by the University of Chicago Press. isbn 978 94 6298 018 1 e-isbn 978 90 4852 936 0 doi 10.5117/9789462980181 nur 983 Creative Commons License CC BY NC ND (http://creativecommons.org/licenses/by-nc/3.0) All authors / Amsterdam University Press B.V., Amsterdam 2017 Some rights reserved. Without limiting the rights under copyright reserved above, any part of this book may be reproduced, stored in or introduced into a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording or otherwise). Contents Acknowledgements 9 List of acronyms 11 1. Introduction 13 RECODE 15 The book 18 2. Defining a ‘knowledge society’ 25 Introduction 25 Data in society 26 Society as a social and human product: Learning, knowledge and institutions 27 Science as an institution: Knowledge production and society 29 Post-industrial society: Positioning knowledge in the wider socio- economic process 33 Information society and the knowledge economy 35 Defining a knowledge society and changes towards Mode 2 knowledge production 36 Conclusion 42 3.