<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Paul Hardaker on Ariadne</title>
    <link>http://www.ariadne.ac.uk/authors/paul-hardaker/</link>
    <description>Recent content in Paul Hardaker on Ariadne</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-gb</language>
    <lastBuildDate>Fri, 30 Oct 2009 00:00:00 +0000</lastBuildDate>
    
	<atom:link href="http://www.ariadne.ac.uk/authors/paul-hardaker/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>How to Publish Data Using Overlay Journals: The OJIMS Project</title>
      <link>http://www.ariadne.ac.uk/issue/61/callaghan-et-al/</link>
      <pubDate>Fri, 30 Oct 2009 00:00:00 +0000</pubDate>
      
      <guid>http://www.ariadne.ac.uk/issue/61/callaghan-et-al/</guid>
      <description>The previous article about the Overlay Journal Infrastructure for Meteorological Sciences (OJIMS) Project [1] dealt with an introduction to the concept of overlay journals and their potential impact on the meteorological sciences. It also discussed the business cases and requirements that must be met for overlay journals to become operational as data publications.
There is significant interest in data journals at this time as they could provide a framework to allow the peer-review and citation of datasets, thereby encouraging data scientists to ensure their data and metadata are complete and valid, and granting them academic credit for this work.</description>
    </item>
    
    <item>
      <title>Overlay Journals and Data Publishing in the Meteorological Sciences</title>
      <link>http://www.ariadne.ac.uk/issue/60/callaghan-et-al/</link>
      <pubDate>Wed, 29 Jul 2009 23:00:00 +0000</pubDate>
      
      <guid>http://www.ariadne.ac.uk/issue/60/callaghan-et-al/</guid>
      <description>Historically speaking, scientific publishing has focused on publicising the methodology that the scientist uses to analyse a dataset, and the conclusions that the scientist can draw from that analysis, as this is the information that can be easily published in text format with supporting diagrams. Datasets do not lend themselves easily to normal hard copy publication, even if the size of the dataset were small enough to allow this, and datasets are more useful stored in digital media.</description>
    </item>
    
  </channel>
</rss>