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<h1 class="uk-article-title"><font size="+1">Co-organizzato da DANS,
EUDAT e OpenAIRE il webinar condotto da Peter Doorn e Ingrid
Dill rispettivamente direttore e vice direttrice di DANS
affronta il tema della qualitą dei dati della ricerca e al
medesimo tema della qualitą dei data repository.</font></h1>
<h1 class="uk-article-title"><font size="+1">Il webinar si terrą
lunedi' 12 Dicembre 2016 alle ore 10:00 e viene replicato martedi'
13 Dicembre alla medesima ora<br>
</font></h1>
<h1 class="uk-article-title"><font size="+1">Per iscriversi</font></h1>
<p><b><a class="moz-txt-link-freetext" href="http://tinyurl.com/hg5avow">http://tinyurl.com/hg5avow</a></b></p>
<p><br>
</p>
<p>Dal testo redatto da EUDAT:<br>
</p>
<h1 class="uk-article-title">FAIR Data in Trustworthy Data
Repositories Webinar </h1>
<p>there is a growing demand for quality criteria for research
datasets. In this webinar we will argue that the DSA (Data Seal of
Approval for data repositories) and FAIR principles get as close
as possible to giving quality criteria for research data. They do
not do this by trying to make value judgements about the content
of datasets, but rather by qualifying the fitness for data reuse
in an impartial and measurable way. By bringing the ideas of the
DSA and FAIR together, we will be able to offer an
operationalization that can be implemented in any certified
Trustworthy Digital Repository.<br>
<br>
In 2014 the FAIR Guiding Principles (Findable, Accessible,
Interoperable and Reusable) were formulated. The well-chosen FAIR
acronym is highly attractive: it is one of these ideas that almost
automatically get stuck in your mind once you have heard it. In a
relatively short term, the FAIR data principles have been adopted
by many stakeholder groups, including research funders.<br>
<br>
The FAIR principles are remarkably similar to the underlying
principles of DSA (2005): the data can be found on the Internet,
are accessible (clear rights and licenses), in a usable format,
reliable and are identified in a unique and persistent way so that
they can be referred to. Essentially, the DSA presents quality
criteria for digital repositories, whereas the FAIR principles
target individual datasets.<br>
<br>
In this webinar the two sets of principles will be discussed and
compared and a tangible operationalization will be presented.
</p>
<h5>Who should attend this webinar?</h5>
<p>Data experts, data repository managers, policy makers, research
administrators, project coordinators and researchers will all
benefit from participating.</p>
<h5>What can you expect to learn?</h5>
<p>General understanding of the FAIR principles<br>
General understanding of core requirements for trustworthy digital
repositories<br>
Introduction to a possible way of operationalizing the FAIR
principles<br>
In addition, the presenters would highly appreciate feedback from
the audience on the ideas presented during the webinar.</p>
<br>
Maggiori info sul programma e sui relatori<br>
<a class="moz-txt-link-freetext" href="https://www.openaire.eu/fair-data-in-trustworthy-data-repositories-webinar">https://www.openaire.eu/fair-data-in-trustworthy-data-repositories-webinar</a><br>
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<br>
Saluti,<br>
Paola<br>
<pre class="moz-signature" cols="72">--
Paola Gargiulo
OpenAIRE NOAD- National Open Access Desk-Italia
CINECA, Interuniversity Consortium for ICT & HPC
Via R. Sanzio 4, I-20090 Segrate MI, Italy
<a class="moz-txt-link-abbreviated" href="mailto:email:p.gargiulo@cineca.it">email:p.gargiulo@cineca.it</a>
phone +39 02 26995-218
mobile + 39 328 9507 128
skype paolafoca</pre>
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