Open Mexico Network in the Implementation of National Open Data Policy

2017 ◽  
pp. 50-67
Author(s):  
Rafael Valenzuela ◽  
Alberto Ochoa
Keyword(s):  
Local Governments ◽  
National Policy ◽  
Open Data ◽  
Exploratory Analysis ◽  
Efficient Access ◽  
Public Data ◽  
Data Policy ◽  
Access To Data ◽  
Final Question

The objective of the chapter is to identify some barriers to accessing public data through the study of one of the pillars of Mexico's national open data policy, the Open Mexico Network. Based on the exploratory analysis of the “Mexico Abierto network” and the description of a case study in northern Mexico, an attempt is made to answer the following question: Does Mexico's national open data policy generate timely data and have efficient access to data? and the final question, Is it easy for citizens to obtain? The study identifies major problems from the design of the national policy of open data, such as not having foreseen the creation of positive incentives for local governments to update the databases in the “México Abierto network.”

scholarly journals Development and release of phenological data products—A case study in compliance with federal open data policy

2018 ◽  
Author(s):  
Alyssa H. Rosemartin ◽  
Madison L. Langseth ◽  
Theresa M. Crimmins ◽  
Jake F. Weltzin
Keyword(s):  
Open Data ◽  
Phenological Data ◽  
Data Products ◽  
Data Policy

scholarly journals Parliamentary Open Data in Scandinavia

Computers ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 65 ◽  
Author(s):  
Lasse Berntzen ◽  
Marius Johannessen ◽  
Kim Andersen ◽  
Jonathan Crusoe
Keyword(s):  
Open Data ◽  
Third Party ◽  
Use Of Data ◽  
Access To Data

This article presents a case study on the use of open data in the Scandinavian parliaments (Norway, Sweden, and Denmark). While the three countries have all opened the gates and provided access to data—for example, on the voting in parliament, debates, and notes from meetings in committees—the uptake and use of data outside the parliaments is limited. While journalists and academia are users of the open data, hackathons and third-party portals are at an explorative level. Still, there are indicators that hackathons can enhance democracy, and parliamentary data can increase political transparency.

A comparison of national open data policies: lessons learned

2015 ◽  
Vol 9 (3) ◽  
pp. 286-308 ◽  
Author(s):  
Rininta Putri Nugroho ◽  
Anneke Zuiderwijk ◽  
Marijn Janssen ◽  
Martin de Jong
Keyword(s):  
Open Data ◽  
Legal Framework ◽  
Lessons Learned ◽  
Added Value ◽  
Content Type ◽  
Comparative Framework ◽  
Public Data ◽  
The Usa ◽  
Data Policy ◽  
Cross National

Purpose – The purpose of this paper is to provide a comprehensive cross-national comparative framework to compare open data policies from different countries and to derive lessons for developing open data policies. Open data policies guide the opening and stimulate the usage of public data. However, some countries have no or less developed open data policies, in this way missing the opportunity to reap the benefits of open data. Design/methodology/approach – Literature review and case studies were conducted to extend an existing comparison framework, and the framework was used to compare open data policies of the UK, the USA, The Netherlands, Kenya and Indonesia. Findings – The comparison of open data policies highlighted several lessons that can be learned, including actions regarding a robust legal framework, generic operational policies, data providers and data users, data quality, designated agencies or taskforces and initiatives and incentives for stimulating demand for data. National policies should also be focused on removing barriers on the operational level and policies for stimulating the release and use of data. Research limitations/implications – There is hardly any research systematically comparing open data policies. The comparative framework provided in this paper is a first analytical basis for cross-national comparison of open data policies and offers possibilities for systematic cross-national lesson-drawing. Practical implications – The authors found two waves of policy-making. The first wave of policy is focused on stimulating the release of data, whereas the second wave of policy is aimed at stimulating use. The comparison can be used to learn from other policies and help to improve open data policies. A third wave of open data policy is expected to materialize focusing on realizing added value from utilizing open data. Social implications – Improving a country’s open data policy can help the country to reap the benefits of open data, such as government transparency, efficiency and economic growth. Originality/value – Open data are a recent phenomenon and countries are looking for ways to obtain the benefits. This research can be used for developing and evaluating open data policies.

scholarly journals Data availability, reusability, and analytic reproducibility: Evaluating the impact of a mandatory open data policy at the journal Cognition

2018 ◽  
Author(s):  
Tom Elis Hardwicke ◽  
Maya B Mathur ◽  
Kyle Earl MacDonald ◽  
Gustav Nilsonne ◽  
George Christopher Banks ◽  
...  
Keyword(s):  
Data Sharing ◽  
Open Data ◽  
Interrupted Time Series ◽  
Data Availability ◽  
Quality Of Data ◽  
Critical Feature ◽  
Target Values ◽  
Data Policy ◽  
Access To Data ◽  
The Impact

Access to data is a critical feature of an efficient, progressive, and ultimately self-correcting scientific ecosystem. But the extent to which in-principle benefits of data sharing are realized in practice is unclear. Crucially, it is largely unknown whether published findings can be reproduced by repeating reported analyses upon shared data (“analytic reproducibility”). To investigate, we conducted an observational evaluation of a mandatory open data policy introduced at the journal Cognition. Interrupted time-series analyses indicated a substantial post-policy increase in data available statements (104/417, 25% pre-policy to 136/174, 78% post-policy), although not all data appeared reusable (23/104, 22% pre-policy to 85/136, 62%, post-policy). For 35 of the articles determined to have reusable data, we attempted to reproduce 1324 target values. Ultimately, 64 values could not be reproduced within a 10% margin of error. For 22 articles all target values were reproduced, but 11 of these required author assistance. For 13 articles at least one value could not be reproduced despite author assistance. Importantly there were no clear indications that original conclusions were seriously impacted. Mandatory open data policies can increase the frequency and quality of data sharing. However, suboptimal data curation, unclear analysis specification, and reporting errors can impede analytic reproducibility, undermining the utility of data sharing and the credibility of scientific findings.

scholarly journals Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition

2018 ◽  
Vol 5 (8) ◽  
pp. 180448 ◽  
Author(s):  
Tom E. Hardwicke ◽  
Maya B. Mathur ◽  
Kyle MacDonald ◽  
Gustav Nilsonne ◽  
George C. Banks ◽  
...  
Keyword(s):  
Data Sharing ◽  
Open Data ◽  
Interrupted Time Series ◽  
Data Availability ◽  
Quality Of Data ◽  
Critical Feature ◽  
Target Values ◽  
Data Policy ◽  
Access To Data ◽  
The Impact

Access to data is a critical feature of an efficient, progressive and ultimately self-correcting scientific ecosystem. But the extent to which in-principle benefits of data sharing are realized in practice is unclear. Crucially, it is largely unknown whether published findings can be reproduced by repeating reported analyses upon shared data (‘analytic reproducibility’). To investigate this, we conducted an observational evaluation of a mandatory open data policy introduced at the journal Cognition . Interrupted time-series analyses indicated a substantial post-policy increase in data available statements (104/417, 25% pre-policy to 136/174, 78% post-policy), although not all data appeared reusable (23/104, 22% pre-policy to 85/136, 62%, post-policy). For 35 of the articles determined to have reusable data, we attempted to reproduce 1324 target values. Ultimately, 64 values could not be reproduced within a 10% margin of error. For 22 articles all target values were reproduced, but 11 of these required author assistance. For 13 articles at least one value could not be reproduced despite author assistance. Importantly, there were no clear indications that original conclusions were seriously impacted. Mandatory open data policies can increase the frequency and quality of data sharing. However, suboptimal data curation, unclear analysis specification and reporting errors can impede analytic reproducibility, undermining the utility of data sharing and the credibility of scientific findings.

UiB-NORSAR EIDA Node: Integration of Seismological Data in Norway

2021 ◽  
Author(s):  
Lars Ottemöller ◽  
Jan Michalek ◽  
Jon-Magnus Christensen ◽  
Ulf Baadshaug ◽  
Felix Halpaap ◽  
...  
Keyword(s):  
Open Data ◽  
International Federation ◽  
Added Value ◽  
Statistical Knowledge ◽  
Seismological Data ◽  
European System ◽  
Long Time ◽  
Data Policy ◽  
The Common ◽  
Access To Data

Abstract Although Norway has had an open data policy for seismological data for a long time, access to a good portion of the data required the use of nonstandard tools. This changed with the establishment of a dedicated European Integrated Data Archive (EIDA) node that is operated jointly by the UiB (University of Bergen)-NORSAR. This now gives access to 139 stations and currently 12.1 Tb of data. The archive continues to grow with new data from permanent stations that are added in near-real time, the backfilling of archives from permanent networks and providing access to temporary deployments. The software behind the EIDA node is SeisComP, and access to data and metadata is through standard International Federation of Digital Seismograph Networks (FDSN) and EIDA webservices. Quality metrics are computed through the EIDA WFcatalog tools and in addition Modular Utility for STAtistical kNowledge Gathering metrics are computed with Incorporated Research Institutions for Seismology System for Portable Assessment of Quality. The added value from the new UiB-NORSAR EIDA node is that it integrates data from high-quality single and array stations from the Norwegian intraplate region into the common European system.

Open Data Policy and Practice

2015 ◽  
pp. 5188-5198
Author(s):  
Terry Buss
Keyword(s):  
Open Data ◽  
Policy And Practice ◽  
Policy Makers ◽  
Public Data ◽  
The World ◽  
Technology Applications ◽  
Data Policy ◽  
Long Term Impact ◽  
The Right

Governments around the world recently launched policies to make public data more accessible and transparent. Policies are intended to encourage more interaction between government and citizens, foster accountability, and improve efficiency, effectiveness, economy, and perhaps equity. Open data initiatives depend almost entirely on information technology, applications, data and security. Policies while laudable have produced mixed results as governments implement them. Governments have been more or less successful depending on how much support they have among policy makers and the civil service, the extent to which whistle blowers and hackers have exploited the systems, met demands of citizens and stakeholders, made available funding in the right amounts over the long-term, and held people accountable. In spite of advances in open data, its long term impact on government performance and indeed democracy has yet to be determined.

On-line Tropical Epidemiology -A Case-Study from The Gambia

1987 ◽  
Vol 26 (02) ◽  
pp. 73-76 ◽  
Author(s):  
Kathryn Rowan ◽  
P. Byass ◽  
R. W. Snow
Keyword(s):  
Data Collection ◽  
Field Trial ◽  
Error Rates ◽  
Database Management System ◽  
Bed Nets ◽  
Completion Rates ◽  
On Line ◽  
Access To Data ◽  
Rapid Processing

SummaryThis paper reports on a computerised approach to the management of an epidemiological field trial, which aimed at determining the effects of insecticide-impregnated bed nets on the incidence of malaria in children. The development of a data system satisfying the requirements of the project and its implementation using a database management system are discussed. The advantages of this method of management in terms of rapid processing of and access to data from the study are described, together with the completion rates and error rates observed in data collection.

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