[R] The Future of R | API to Public Databases

Sat Jan 14 17:47:55 CET 2012

LOL, I remember posting about this in the past. The US gov agencies vary but mostare quite good. The big problem appears to be people who push proprietary orcommercial "standards" for which only one effective source exists. Some formats,like Excel and PDF come to mind and there is a disturbing trend towards theiradoption in some places where raw data is needed by many. The best thing to do is contact the informationprovider and let them know you want raw data, not images or stuff that worksin limited commercial software packages. Often data sources are valuable andthe revenue model impacts availability. 

If you are just arguing over different open formats,  it is usually easy for someone towrite some conversion code and publish it- CSV to JSON would not be a problem for example. Data of course are quite variable and there is nothingwrong with giving provider his choice. 

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> Date: Sat, 14 Jan 2012 10:21:23 -0500
> From: jason at rampaginggeek.com
> To: r-help at r-project.org
> Subject: Re: [R] The Future of R | API to Public Databases
>
> Web services are only part of the problem. In essence, there are at
> least two facets:
> 1. downloading the data using some protocol
> 2. mapping the data to a common model
>
> Having #1 makes the import/download easier, but it really becomes useful
> when both are included. I think #2 is the harder problem to address.
> Software can usually be written to handle #1 by making a useful
> abstraction layer. #2 means that data has consistent names and meanings,
> and this requires people to agree on common definitions and a common
> naming convention.
>
> RDF (Resource Description Framework) and its related technologies
> (SPARQL, OWL, etc) are one of the many attempts to try to address this.
> While this effort would benefit R, I think it's best if it's part of a
> larger effort.
>
> Services such as DBpedia and Freebase are trying to unify many data sets
> using RDF.
>
> The task view and package ideas a great ideas. I'm just adding another
> perspective.
>
> Jason
>
> On 01/13/2012 05:18 PM, Roy Mendelssohn wrote:
> > HI Benjamin:
> >
> > What would make this easier is if these sites used standardized web services, so it would only require writing once. data.gov is the worst example, they spun the own, weak service.
> >
> > There is a lot of environmental data available through OPenDAP, and that is supported in the ncdf4 package. My own group has a service called ERDDAP that is entirely RESTFul, see:
> >
> > http://coastwatch.pfel.noaa.gov/erddap
> >
> > and
> >
> > http://upwell.pfeg.noaa.gov/erddap
> >
> > We provide R (and matlab) scripts that automate the extract for certain cases, see:
> >
> > http://coastwatch.pfeg.noaa.gov/xtracto/
> >
> > We also have a tool called the Environmental Data Connector (EDC) that provides a GUI from with R (and ArcGIS, Matlab and Excel) that allows you to subset data that is served by OPeNDAP, ERDDAP, certain Sensor Observation Service (SOS) servers, and have it read directly into R. It is freely available at:
> >
> > http://www.pfeg.noaa.gov/products/EDC/
> >
> > We can write such tools because the service is either standardized (OPeNDAP, SOS) or is easy to implement (ERDDAP).
> >
> > -Roy
> >
> >
> > On Jan 13, 2012, at 1:14 PM, Benjamin Weber wrote:
> >
> >> Dear R Users -
> >>
> >> R is a wonderful software package. CRAN provides a variety of tools to
> >> work on your data. But R is not apt to utilize all the public
> >> databases in an efficient manner.
> >> I observed the most tedious part with R is searching and downloading
> >> the data from public databases and putting it into the right format. I
> >> could not find a package on CRAN which offers exactly this fundamental
> >> capability.
> >> Imagine R is the unified interface to access (and analyze) all public
> >> data in the easiest way possible. That would create a real impact,
> >> would put R a big leap forward and would enable us to see the world
> >> with different eyes.
> >>
> >> There is a lack of a direct connection to the API of these databases,
> >> to name a few:
> >>
> >> - Eurostat
> >> - OECD
> >> - IMF
> >> - Worldbank
> >> - UN
> >> - FAO
> >> - data.gov
> >> - ...
> >>
> >> The ease of access to the data is the key of information processing with R.
> >>
> >> How can we handle the flow of information noise? R has to give an
> >> answer to that with an extensive API to public databases.
> >>
> >> I would love your comments and ideas as a contribution in a vital discussion.
> >>
> >> Benjamin
> >>
> >> ______________________________________________
> >> R-help at r-project.org mailing list
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> > **********************
> > "The contents of this message do not reflect any position of the U.S. Government or NOAA."
> > **********************
> > Roy Mendelssohn
> > Supervisory Operations Research Analyst
> > NOAA/NMFS
> > Environmental Research Division
> > Southwest Fisheries Science Center
> > 1352 Lighthouse Avenue
> > Pacific Grove, CA 93950-2097
> >
> > e-mail: Roy.Mendelssohn at noaa.gov (Note new e-mail address)
> > voice: (831)-648-9029
> > fax: (831)-648-8440
> > www: http://www.pfeg.noaa.gov/
> >
> > "Old age and treachery will overcome youth and skill."
> > "From those who have been given much, much will be expected"
> > "the arc of the moral universe is long, but it bends toward justice" -MLK Jr.
> >
> > ______________________________________________
> > R-help at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.