From Google’s English: “The decree publishing the open data calendar for court decisions has just been published in the OJ [ 1 ] . The French pro-open data movement can triumph, even if the calendar dates were predictable for a long time …
This step in the advance of open data [ 2 ] in France inspires me with mixed feelings….”
“The U.S. Government Publishing Office (GPO) is undertaking a massive effort to capture and make publicly accessible every U.S. Government document through the National Collection of U.S. Government Public Information (National Collection). GPO will do this by digitizing documents and making them accessible on govinfo and the Catalog of U.S. Government Publications (CGP), as well as partnering with Federal depository libraries who serve as stewards for all tangible materials. The National Collection includes all public information products of the U.S. Government. To achieve its vision, GPO will identify, acquire, catalog, disseminate, digitize, make accessible, authenticate, and preserve all Government publications….”
“This competition challenges data scientists to show how publicly funded data are used to serve science and society. Evidence through data is critical if government is to address the many threats facing society, including; pandemics, climate change, Alzheimer’s disease, child hunger, increasing food production, maintaining biodiversity, and addressing many other challenges. Yet much of the information about data necessary to inform evidence and science is locked inside publications.
Can natural language processing find the hidden-in-plain-sight data citations? Can machine learning find the link between the words used in research articles and the data referenced in the article?
Now is the time for data scientists to help restore trust in data and evidence. In the United States, federal agencies are now mandated to show how their data are being used. The new Foundations of Evidence-based Policymaking Act requires agencies to modernize their data management. New Presidential Executive Orders are pushing government agencies to make evidence-based decisions based on the best available data and science. And the government is working to respond in an open and transparent way.
This competition will build just such an open and transparent approach. …”
“We at the ODC continue to hope and move toward that shared future, by articulating the norms needed to shift power and abandon the destructive narratives that perpetuate injustices. We already recognise that diversity is a super power that goes hand in hand with principles of openness and we hope our shared future acknowledges this as a default. We are taking steps towards this through our work in targeted policy areas: data rights, anti-corruption, pay equity and climate action. Continuing with our 2020–2021 strategy, we have developed an internal work plan for 2021 with focus and with continued collaborations and, we hope, with new alliances. If strength is in numbers, then it is only with our partners that we can carry out our vision of a shared future with open data….”
“Open Data Watch (ODW) is a nonprofit organization promoting open and high-quality development data. ODW works with national statistical offices, international agencies, and non-governmental organizations to increase the availability and impact of development data. ODW monitors and reports on the degree to which countries and agencies have succeeded in implementing open data policies and disseminating their data. Its Open Data Inventory (ODIN) is a widely used measure of the openness of official statistics.
ODW also conducts research and provides guidance to strengthen countries or agencies’ data management and dissemination practices and supports or coordinates partnerships leading to improvements in statistical capacity and support for statistics. ODW has a rich and growing work program on improving the quality and use of gender data as well as civil registration and vital statistics (CRVS).
ODW is hiring a Program Manager to work closely with management, team members, partners, and clients on the activities described below. The Program Manager will be responsible for overseeing the achievement of strategic organizational goals, coordinating efforts between different projects, and helping to lead the overall program with strong attention to strategy, implementation, and delegation….”
Abstract: Background: Open data on the locations and services provided by health facilities have, in some countries, allowed the development of software tools contributing to COVID-19 response. The UN and WHO encourage countries to make health facility location data open, to encourage use and improvement. We provide a summary of open access health facility location data in Africa using re-useable R code. We aim to support data analysts developing software tools to address COVID-19 response in individual countries. In Africa there are currently three main sources of such open data; 1) direct from national ministries of health, 2) a database for sub-Saharan Africa collated and published by a team from KEMRI-Wellcome Trust Research Programme and now hosted by WHO, and 3) The Global Healthsites Mapping Project in collaboration with OpenStreetMap.
Methods: We searched for and documented official national facility location data that were openly available. We developed re-useable open-source R code to summarise and visualise facility location data by country from the three sources. This re-useable code is used to provide a web user interface allowing data exploration through maps and plots of facility type.
Results: Out of 52 African countries, seven currently provide an official open facility list that can be downloaded and analysed reproducibly. Considering all three sources, there are over 185,000 health facility locations available for Africa. However, there are differences and overlaps between sources and a lack of data on capacities and service provision.
Conclusions: These summaries and software tools can be used to encourage greater use of existing health facility location data, incentivise further improvements in the provision of those data by national suppliers, and encourage collaboration within wider data communities. The tools are a part of the afrimapr project, actively developing R building blocks to facilitate the use of health data in Africa.
“This data protection agency could be combined with Data.gov, a government website created in 2009 that assembles and hosts hundreds of thousands of data sets for public use. Together they could form a kind of federal data library, democratizing knowledge for the digital age.
Just as traditional libraries curate and organize their collections, so could a digital library, adding new data sources and cleaning and assembling them for public use. A federal data library could also take the lead in developing and using new tools such as differential privacy, a technique designed to preserve important features of data while protecting individual identities.
Data’s increasing value as an economic resource requires a new way of thinking. Strict privacy protections are needed to make socially valuable data available for the public good.”
“Quite simply, open data is information that anyone can find, explore and reuse.
A vast amount of this data is collected during the course of normal government activities, including service delivery, research or administration.
Open data, by definition, should be freely available, easily discoverable, anonymous, accessible and published in ways and with licences that allow reuse.
By releasing this information in a central location – on data.gov.au – it’s now easy to find, explore and reuse.
Examples of how open data is used include creating an app, doing research, in support of evidence-based decision making, developing a business plan for creating goods or services, or simply to improve knowledge and understanding of social, economic and environmental trends.
Government open data does not hold any private or sensitive information as the data is anonymised prior to release. This is done to ensure the highest privacy standards are met, and security is not breached….”
“The Socioeconomic High-resolution Rural-Urban Geographic Platform for India (SHRUG) is a geographic platform that facilitates data sharing between researchers working on India. It is an open access repository currently comprising dozens of datasets covering India’s 500,000 villages and 8000 towns using a set of a common geographic identifiers that span 25 years….”
“Data limitations are a major constraint on good policy in developing countries. The sample surveys conventionally used for development policy and research are sparse, geographically imprecise, and weakly integrated. We collect many new kinds of data, including measures of well-being generated from satellite images, data exhaust from government programs, and archival administrative records not previously used for policy design. Our open data platform (the SHRUG) seamlessly stitches these data sources together, making it one of India’s first high-resolution geographic frameworks for socioeconomic analysis.
Our research uses cutting edge econometric and machine learning tools to generate policy-relevant insights that would be difficult to arrive at using other data sources. We focus on understanding how people born into poverty can live fulfilling and productive lives—and which policies and programs can help them do so….”