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The Role Of Data Quality Monitoring In Data Governance - Page 1

The Role Of Data Quality Monitoring In Data Governance - Page 1 | geocomputational statistics and GIS | Scoop.it
historical challenges and how the relationship between data quality and data governance can overcome them page 1
DrDids's insight:

well said! see also the ISO standards for data quality as well as the one concerning geospatial data ISO19157

Nonetheless I liked the distinction between what we can called also intrinsec quality (described here as derived from the data provider) and the extrinsec quality depnding on the usage of this data. This is called usability in the ISO19157 which can be also described by the provider but not only!

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geocomputational statistics and GIS
geographical model, computational, spatial statistics, web service, semantic, data integration, pattern, data quality, uncertainty, standard
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Earth Observation for Citizen Science Validation, or Citizen Science for Earth Observation Validation? The Role of Quality Assurance of Volunteered Observations

Earth Observation for Citizen Science Validation, or Citizen Science for Earth Observation Validation? The Role of Quality Assurance of Volunteered Observations | geocomputational statistics and GIS | Scoop.it
Environmental policy involving citizen science (CS) is of growing interest. In support of this open data stream of information, validation or quality assessment of the CS geo-located data to their appropriate usage for evidence-based policy making needs a flexible and easily adaptable data curation process ensuring transparency. Addressing these needs, this paper describes an approach for automatic quality assurance as proposed by the Citizen OBservatory WEB (COBWEB) FP7 project. This approach is based upon a workflow composition that combines different quality controls, each belonging to seven categories or “pillars”. Each pillar focuses on a specific dimension in the types of reasoning algorithms for CS data qualification. These pillars attribute values to a range of quality elements belonging to three complementary quality models. Additional data from various sources, such as Earth Observation (EO) data, are often included as part of the inputs of quality controls within the pillars. However, qualified CS data can also contribute to the validation of EO data. Therefore, the question of validation can be considered as “two sides of the same coin”. Based on an invasive species CS study, concerning Fallopia japonica (Japanese knotweed), the paper discusses the flexibility and usefulness of qualifying CS data, either when using an EO data product for the validation within the quality assurance process, or validating an EO data product that describes the risk of occurrence of the plant. Both validation paths are found to be improved by quality assurance of the CS data. Addressing the reliability of CS open data, issues and limitations of the role of quality assurance for validation, due to the quality of secondary data used within the automatic workflow, are described, e.g., error propagation, paving the route to improvements in the approach.
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Self-promotion!
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Machine Learning Vs. Statistics

Machine Learning Vs. Statistics | geocomputational statistics and GIS | Scoop.it
This article was written by Aatash Shah.


Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like…
DrDids's insight:
Pretty picture meaning 'team work', though with an arguing attitude! a healthy one I hope!
 
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Do Data Scientists Still Really Exist?

Do Data Scientists Still Really Exist? | geocomputational statistics and GIS | Scoop.it
It’s a question that’s asked a lot lately, and the truth is, data scientists not only exist -- one of them may become president someday. That is a bold sta

Via Carla Gentry CSPO
DrDids's insight:
Looking at the stars from the Earth of vice versa? but where is the data gutter? Oscar  V-Wilde
 
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Carla Gentry CSPO's curator insight, March 15, 9:46 AM
Well hell yes WE exist, what do you think I do all day, twittle my fingers lol
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Earth Observation for Citizen Science validation, or, Citizen Science for Earth Observation validation? Role of the Quality Assurance of Volunteered Observations.

Earth Observation for Citizen Science validation, or, Citizen Science for Earth Observation validation? Role of the Quality Assurance of Volunteered Observations. | geocomputational statistics and GIS | Scoop.it
Official Full-Text Publication: Earth Observation for Citizen Science validation, or, Citizen Science for Earth Observation validation? Role of the Quality Assurance of Volunteered Observations. on ResearchGate, the professional network for scientists.
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DrDids's curator insight, December 13, 2016 9:30 AM
EO for CS or CS for EO?  The joy of Open Source is to publish a preprint ahead of any ... outcome of the publishing aspect! comments welcome !
 
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Spatial Analysis and GEOmatics 2016 - Sciencesconf.org

Spatial Analysis and GEOmatics 2016 - Sciencesconf.org | geocomputational statistics and GIS | Scoop.it
GISs vision
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A Map Of Where Your Food Originated May Surprise You

A Map Of Where Your Food Originated May Surprise You | geocomputational statistics and GIS | Scoop.it
A new study reveals the full extent of globalization in our food supply. More than two-thirds of the crops that underpin national diets originally came from somewhere else — often far away.
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Neil Bombardier's curator insight, July 18, 2016 6:34 AM
Fascinating map of where your food comes from
Eric Larson's curator insight, July 22, 2016 11:01 AM
Interesting maps. 
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TeradataVoice: Is A Picture Worth A Thousand Words? The Truth About Big Data And Visualisation

TeradataVoice: Is A Picture Worth A Thousand Words? The Truth About Big Data And Visualisation | geocomputational statistics and GIS | Scoop.it
Data visualisation has always been a vital weapon in the arsenal of an effective analyst, enabling complex data sets to be represented efficiently and complex ideas to be communicated with clarity and brevity.
DrDids's insight:
a classic
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Statistics: When Confounding Variables Are Out of Control

Statistics: When Confounding Variables Are Out of Control | geocomputational statistics and GIS | Scoop.it
Does ice cream cause drownings? Let's think about this statistically. Consider that, in any given city, daily sales of ice cream are, most likely, positively correlated with daily rates of drownings.
DrDids's insight:
Isn't it where causation may meet correlation? what about the correlation between drowning and temperature?
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Help Stop TB

Help Stop TB | geocomputational statistics and GIS | Scoop.it
Become part of a global virtual supercomputer modeling and analyzing vulnerabilities in the tuberculosis bacterium
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power of the crowd
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Datafloq - The One-Stop source for Big Data

Datafloq - The One-Stop source for Big Data | geocomputational statistics and GIS | Scoop.it
Datafloq - Connecting Data and People
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This is linking companies to you!
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Overview of GWR Analysis of Spatial Data

Chenliang Wang discusses: - An overview of Geographically Weighted Regression (GWR) analysis of spatial data - Motivation about spatial statistics and GWR wi...

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Spatial Accuracy 2016 - Home page

Spatial Accuracy 2016 - Home page | geocomputational statistics and GIS | Scoop.it
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/// Only two weeks remaining to submit abstracts (500 words) to Spatial Accuracy 2016. Do not miss this opportunity. Please circulate this information ///

The international conference Spatial Accuracy 2016 will be held in Montpellier (southern France) from the 5th to the 8th of July, 2016. The call for abstracts is open at https://colloque.inra.fr/spatial-accuracy2016/

The 12th International symposium on "Spatial Accuracy Assessment in Natural Resources and Environmental Sciences" is the latest in an academic conference series held every two years since 1994 under the auspices of the International Spatial Accuracy Research Association (ISARA,http://www.spatial-accuracy.org/).

The Symposium is a unique place to bring together experts from environmental sciences, natural resources, spatial statistics, and geographic information science, among other disciplines, developing theory and methods for assessing and understanding spatial accuracies and spatial uncertainties in, for example, mapping, monitoring systems, and spatial simulation platforms. This 12th edition of the symposia will focus on sensitivity analyses techniques for spatial modelling (ranking the importance of spatial input uncertainties) as well as the management of spatial uncertainty in Knowledge-Based Systems. Of course, treatments of other relevant accuracy and uncertainty topics are welcome, too.

Students are encouraged to submit and compete for the best Student Paper award, which will cover conference costs.

Important deadline dates

15 February 2016: Abstract submission (500 words)

31 March 2016: Abstract notification

22 April 2016: Short final paper submission (between 1000 and 1500 words)

17 May 2016: Author registration deadline

5-8 July 2016: Spatial Accuracy'16

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maps.stamen.com / watercolor

Stamen's watercolor map style is lovingly crafted and free for the taking.
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When technology meets art: beautiful colouring ... wtatercolor

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Opensource GIS

Opensource GIS | geocomputational statistics and GIS | Scoop.it
In order to better understand the increasing availability and emerging popularity of opensource GIS options, you first of all need to place it in
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Spatial Statistics one World one Health - Conferences - Elsevier

Welcome to Spatial Statistics, which will be held in Lancaster, UK, from the 4-7 July 2017 under the theme, One World: One Health.Visi
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On Data Quality Assurance and Conflation Entanglement in Crowdsourcing for Environmental Studies

On Data Quality Assurance and Conflation Entanglement in Crowdsourcing for Environmental Studies | geocomputational statistics and GIS | Scoop.it
Volunteer geographical information (VGI), either in the context of citizen science or the mining of social media, has proven to be useful in various domains including natural hazards, health status, disease epidemics, and biological monitoring. Nonetheless, the variable or unknown data quality due to crowdsourcing settings are still an obstacle for fully integrating these data sources in environmental studies and potentially in policy making. The data curation process, in which a quality assurance (QA) is needed, is often driven by the direct usability of the data collected within a data conflation process or data fusion (DCDF), combining the crowdsourced data into one view, using potentially other data sources as well. Looking at current practices in VGI data quality and using two examples, namely land cover validation and inundation extent estimation, this paper discusses the close links between QA and DCDF. It aims to help in deciding whether a disentanglement can be possible, whether beneficial or not, in understanding the data curation process with respect to its methodology for future usage of crowdsourced data. Analysing situations throughout the data curation process where and when entanglement between QA and DCDF occur, the paper explores the various facets of VGI data capture, as well as data quality assessment and purposes. Far from rejecting the usability ISO quality criterion, the paper advocates for a decoupling of the QA process and the DCDF step as much as possible while still integrating them within an approach analogous to a Bayesian paradigm.
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Adaptive Computation: The Multidisciplinary Legacy of John H. Holland

Adaptive Computation: The Multidisciplinary Legacy of John H. Holland | geocomputational statistics and GIS | Scoop.it
John H. Holland's general theories of adaptive processes apply across biological, cognitive, social, and computational systems.

Via ComplexInsight
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ComplexInsight's curator insight, August 8, 2016 5:13 AM
I first came across John Holland's work in a an article while I was at High School some 30 years ago. A few years later he kindly answered my questions in an out of the blue phone call and then over the years in conversations at conferences and in emails.  I have always been in awe of the breadth of his vision and interests, intrigued by his ideas and appreciated the fact he would take time to encourage research and passionate discussion. Sadly with his passing last year - we lost a truly original insight. Stephanie Forrest and Melanie Mitchells article for the ACM captures the breadth of his interests, his wonderful legacy of ideas and perhaps more importantly  the example he set in his humanity and generosity. Well worth reading.
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Easier Composite U.S. Choropleths with albersusa

Easier Composite U.S. Choropleths with albersusa | geocomputational statistics and GIS | Scoop.it
Folks who’ve been tracking this blog on R-bloggers probably remember this post where I showed how to create a composite U.S. map with an Albers projection
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the CDC mapping service is interesting as well.
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Science meets farming to reveal Africa’s best bean

Science meets farming to reveal Africa’s best bean | geocomputational statistics and GIS | Scoop.it
As climate change hits home, the race is on to find beans that can withstand random weather patterns.
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Eric Larson's curator insight, July 22, 2016 11:02 AM
Science and the best beans.
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Caravel is a data exploration platform designed to be visual, intuitive, and interactive

Caravel is a data exploration platform designed to be visual, intuitive, and interactive | geocomputational statistics and GIS | Scoop.it
— Permalink
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This should be inspiring
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A great divide in American death: Statistics show widening urban-rural health gap

A great divide in American death: Statistics show widening urban-rural health gap | geocomputational statistics and GIS | Scoop.it
Data suggest risky behaviors are working to defy modern trends of mortality, most starkly among middle-aged white women.
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Share your insight
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Eric Larson's curator insight, July 22, 2016 11:04 AM
Why are death rates climbing?
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Perform analysis—Portal for ArcGIS | ArcGIS for Server

Perform analysis—Portal for ArcGIS | ArcGIS for Server | geocomputational statistics and GIS | Scoop.it

You can execute a variety of spatial analysis functions on layers in your map.

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Meningitis cases triple in two weeks in Niger, more than 400 dead: WHO

Meningitis cases triple in two weeks in Niger, more than 400 dead: WHO | geocomputational statistics and GIS | Scoop.it
By Tom Miles GENEVA (Reuters) - An outbreak of meningitis with "unprecedented features" is spreading rapidly in Niger, with a tripling of cases in the past two weeks, hundreds of deaths so far this year and vaccines in short supply, the World Health Organization said on Friday. The outbreak is predominantly caused by serogroup C, which is normally found in wealthy countries and has never been of high concern in Africa, where it has been seen only in sporadic cases and localized outbreaks, the U.N. health agency said. Vaccines against this form of the disease were in short supply and the outbreak was of particular concern because it was affecting more than one million people in densely populated urban areas including the capital, Niamey, its website said. Meningitis is common across the "meningitis belt" from Senegal to Ethiopia in the dry season between December and June.

Via Brian Altonen
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Brian Altonen's curator insight, May 15, 2015 9:32 PM

[Figure source: Friedrich Schnurrer. ‘Charte Uber die geographische Ausbreitung der Krankheiten . . . ’ (1827)]

 

This particular form of meningitis in Africa is a classical example of the spatial disease patterns first define in the late 18th and early 19th century.   The notion of latitudinal diseases probably began in the 1690s to mid-1700s when the fevers were completely mapped by Friedrich Schnurrer.   This 1827 (publ. 1828) global map of disease is in the process of being translated and reconstructed, provides important insights into the early endemic and epidemic spatial disease patterns of Africa. 


 

More than likely, the meningitis on this map appears amongst those few combined tetanus and fever patterns described by Schnurrer.  The traditional tetanus or lockjaw on this map is indicated by the older medical synonym "trismus."