آینده حوزه دادهی باز؛ تمرکز بر اثرات دادهی حکومتی باز. گزارشی از بنیاد داده
Benefits of Open Data in Public Health
Abstract
Open Data is part of a broad global movement that is not only advancing science and scientific communication but also transforming modern society and how decisions are made. What began with a call for Open Science and the rise of online journals has extended to Open Data, based on the premise that if reports on data are open, then the generated or supporting data should be open as well. There have been a number of advances in Open Data over the last decade, spearheaded largely by governments. A real benefit of Open Data is not simply that single databases can be used more widely; it is that these data can also be leveraged, shared and combined with other data. Open Data facilitates scientific collaboration, enriches research and advances analytical capacity to inform decisions. In the human and environmental health realms, for example, the ability to access and combine diverse data can advance early signal detection, improve analysis and evaluation, inform program and policy development, increase capacity for public participation, enable transparency and improve accountability. However, challenges remain. Enormous resources are needed to make the technological shift to open and interoperable databases accessible with common protocols and terminology. Amongst data generators and users, this shift also involves a cultural change: from regarding databases as restricted intellectual property, to considering data as a common good. There is a need to address legal and ethical considerations in making this shift. Finally, along with efforts to modify infrastructure and address the cultural, legal and ethical issues, it is important to share the information equitably and effectively. While there is great potential of the open, timely, equitable and straightforward sharing of data, fully realizing the myriad of benefits of Open Data will depend on how effectively these challenges are addressed.
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پروژه وضعیت داده باز، کاری از بنیاد داده باز برای توسعه
1 پسندیده
Data as oil, infrastructure or asset? Three metaphors of data as economic value
dataaseconomicvalue.pdf (481.7 کیلوبایت)
A Systematic Literature Study to Unravel Transparency Enabled by Open Government Data: The Window Theory
A Systematic Literature Study to Unravel Transparency Enabled by Open Government Data The Window Theory.pdf (2.6 مگابایت)
2 پسندیده
The Politics of Open Government Data:
Understanding Organizational Responses
to Pressure for More Transparency
The_Politics_of_Open_Government_Data_Understanding.pdf (149.7 کیلوبایت)
1 پسندیده
Open Data availability and Suitability for Financial Analysis
OpenData_Springer.pdf (193.9 کیلوبایت)
2 پسندیده
مقاله جدید آقای ورهاسلت در نشریه معتبر کسب و کار هاروارد
2 پسندیده
1 پسندیده
Exploring the Issues of Open Government Data Implementation in Malaysian Public Sectors
Exploring_the_Issues_of_Open_Government_Data_Imple.pdf (974.5 کیلوبایت)
1 پسندیده
Open Government Data Portal Usability: A User-Centred Usability Analysis of 41 Open Government Data Portals
OpenGovernmentDataPortalUsabilityAUser-CentredUsabilityAnalysisof41OpenGovernmentDataPortals.pdf (1.3 مگابایت)
The associativity evaluation between open data and country characteristics
Purpose: The purpose of this study is to review the levels of open government data (OGD) among various countries that are not consistent with the development levels of those countries. This study evaluates the associativity between OGD Index (OGD) and the characteristics of those countries as well as to compare the degree of OGD among countries. Accordingly, an advanced discussion to explore how a country’s characteristics affect how that country’s government opens data was presented. Design/methodology/approach: The stakeholder relationships of OGD is analysed with the characteristics of a country. The usage data are compared with the data availability according to nine indicators. These data collected from the statistics and OGDI websites are grouped for comparative statistical analyses based on basic descriptive statistics, one-way analysis of variance and a regression model with variance inflation faction. Findings: The results 1) revealed the reasons some countries have high-ranking indexes and 2) verified the high index values of countries in terms of their degrees of development. This study, thus, attempted to derive a balanced appraisal of national development and OGD. Research limitations/implications: The study sample is limited only to countries 1) which open the statistical data; and 2) are of uneven population density and development degree. The OGDI is limited to expert evaluation. The score might be vary to experts and users with diverse countries at different evaluation period. The limitations can be attributed to the differences between OGDI and real open levels. These differences might influence the reliability and validity. Practical implications: Government departments with OGD policies provide raw data in various formats and with application interfaces for user access. This study, thus, attempts to derive a balanced appraisal of national development and OGD. The factors that evaluate which types of countries open the level of data are explored. Originality/value: This study establishes stakeholder relationships of OGD and extends to analyse the characteristics of a country and OGD that affect the government data open level. The relationships are evaluated through the OGDI with design score scheme. The measurement results indicated that a country possesses high relation to open data with high DI and nature resource. © 2019, Emerald Publishing Limited.
Business models for open government data C3 - ACM International Conference Proceeding Series
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939142006&doi=10.1145%2F2691195.2691273&partnerID=40&md5=a025bf82ec9be54d156fc645243b00d0
Business models for open data businesses C3 - ACM International Conference Proceeding Series
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939186975&doi=10.1145%2F2691195.2691299&partnerID=40&md5=8b2752b9e53c43e1640589b6c316b894
Business models for open data ecosystem: Challenges and motivations for entrepreneurship and innovation C3 - Proceedings - 2017 IEEE 19th Conference on Business Informatics, CBI 2017
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029417950&doi=10.1109%2FCBI.2017.51&partnerID=40&md5=aea381560aa06277db16f2f288cb27a3
Business models for open data strategies of official geo-information science
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928671286&partnerID=40&md5=8aafff0a8d18c934701ac014ebd5af27
CLODA: A crowdsourced linked open data architecture C3 - Proceedings - IEEE International Conference on Mobile Data Management
In this paper we present our Crowdsourced Linked Open Data Architecture (CLODA), a first attempt to combine crowdsourcing, localization and location-based services to generate, collect, validate and relate real-world, geo-spatial and multi-dimensional information using smartphones and other mobile devices. CLODA focuses on the construction of URI addressable, interlinked and semi-structured data following the Linked-Open Data (LOD) paradigm. The validity of the constructed data is then contributed by a participating crowd. We present our prototype implementation on top of Google Maps and a blend of in-house technologies, particularly our indoor positioning framework, coined Airplace, our trajectory similarity framework, coined SmartTrace, our neighborhood detection framework, coined Proximity and our smartphone testing platform coined SmartLab. © 2013 IEEE.
Communication model of open government data gamification based on Ukrainian websites C3 - Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017
The article defines and characterizes the information-communicative model of gamification of the governmental open data web portals as well as defines the factors that contribute to the effective functioning of an open database in computer games of various types. The integration of Ukrainian governmental websites, containing open statistics data, into a public open data portal is described. The article provides the rules for selecting the data suitable for gamification and gives an example of the design of arcade-type games with open data sets. © 2017 IEEE.
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