“The NDA government has come into its new term with a renewed gusto towards analytics in the public sector. Recognising the disruptive effect that the upcoming AI wave will have on citizen’s day-to-day activities, the government has put it on a spotlight.
One of the biggest needs for a healthy analytics ecosystem in any given environment is data. Identifying the data-hungry nature of the new data science and analytics startups in India, the government initiated the Open Government Data Platform at data.gov.in….
This move allows data scientists and machine learning engineers alike to harness one of the biggest collections of datasets available to the public….”
Along with the draft action plan, OMB released final versions of the principles and practices it expects agencies to follow in gathering, using, protecting, and engaging with data.
The draft action plan, which is open for public comment until July 5th, lays out actions considered fundamental for the government to undertake during the first year in order to execute the full breadth of the strategy over time. It includes concrete deliverables for each individual federal agency, as well as government-wide actions facilitated by collaborative agency work.
The plan articulates six actions for all federal agencies to individually complete once the action plan is finalized in August:
Improve data resources for artificial intelligence research and development by February 2020
Constitute a diverse data governance body by September 2019
Assess data and related infrastructure maturity by May 2020
Identify opportunities to increase staff data skills by May 2020
Identify data needed to answer key agency questions by August 2020
Identify priority datasets for agency open data plans by August 2020…”
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.
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.
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.
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.
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.
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.
The use of “open data” can help the public find value in various areas of interests. Many governments have created and published a huge amount of open data; however, people have a hard time using open data because of data quality issues. The UK, the USA and Korea have created and published open data; however, the rate of open data implementation and level of open data impact is very low because of data quality issues like incompatible data formats and incomplete data. This study aims to compare the statuses of data quality from open government sites in the UK, the USA and Korea and also present guidelines for publishing data format and enhancing data completeness.
This study uses statistical analysis of different data formats and examination of data completeness to explore key issues of data quality in open government data.
Findings show that the USA and the UK have published more than 50 per cent of open data in level one. Korea has published 52.8 per cent of data in level three. Level one data are not machine-readable; therefore, users have a hard time using them. The level one data are found in portable document format and hyper text markup language (HTML) and are locked up in documents; therefore, machines cannot extract out the data. Findings show that incomplete data are existing in all three governments’ open data.
Governments should investigate data incompleteness of all open data and correct incomplete data of the most used data. Governments can find the most used data easily by monitoring data sets that have been downloaded most frequently over a certain period.
“Recognizing that digital technologies and the increased availability of data are transforming the way citizens and governments interact, and are creating new opportunities of participation, responsiveness and ongoing dialogue,….”
“The partnership will help advance the open data efforts in more than 60 OGP countries that have committed to implement ambitious open data principles.
Since the creation of the Open Government Partnership, Open Data commitments have been at the core of open government initiatives aiming to empowering government and civil society reformers to improve public services, reduce corruption, and harness technology to make government more efficient. The OGP 16 Paris Declaration recognizes that the increased availability of data is transforming the way citizens and governments interact, and is creating new opportunities for participation, responsiveness, and ongoing dialogue….”
“The safety and economic well-being of Americans will be put at risk if the Senate confirms Barry Lee Myers as the next administrator of the National Oceanic and Atmospheric Administration.
As a nonscientist, Mr. Myers lacks the professional credentials to lead a science-centric agency responsible for daily weather forecasts, severe storm warnings, climate monitoring, fisheries management, coastal restoration and support for marine commerce.
As the former chief executive of the private weather-forecasting company AccuWeather, which relies on data from NOAA’s National Weather Service, he spent years trying to privatize NOAA’s public weather information so his company could profit from it. His family continues to run the family-owned company, raising concerns that they could benefit from decisions he might make as NOAA’s administrator….”
Key points to highlight: U.S. federal government data is released into the public domain. This raises concerns about:
privacy and security of data about individuals
the potential for enclosure if the U.S. government does not maintain human readable interfaces, i.e. if the open data is used by commercial companies to create toll access services and the government does not provide free end user services, this would be an instance of open commercial use effectively creating enclosure (or privatizing what is currently free government services)
Public domain and open data policies and how they are made. Current status of open data policies in the Federal government are changing with new laws. What is HR4174/S4047 and what does it say and mean? What are trends in government data policies regarding access to that statistical data? This article will give the reader an understanding of federal policies and laws regarding data.
Abstract: In 2011, Singapore created data.gov.sg as an open, online repository for government data. This essay examines this Web portal, the data it contains, and some of the applications that have been built using it and aims to understand the role that data.gov.sg plays within the context of Singapore’s continued political and economic development. Although such portals and the data they contain are often presented as offering transformative modes of governance and democratic participation, analysis of data.gov.sg shows how the data portal can act to reinforce and entrench existing modes of governance.