oaf to dc: parial implementation

This commit is contained in:
Michele Artini 2024-05-08 12:38:55 +02:00
parent 910aeb22de
commit 6407a0c9cd
2 changed files with 271 additions and 238 deletions

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@ -9,11 +9,8 @@
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<oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
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<dc:title>Studies of Unicorn Behaviour</dc:title>
@ -39,24 +36,119 @@
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<dc:relation>
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@ -67,22 +159,6 @@
</xsl:choose>
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@ -125,30 +201,9 @@
<funding_level_2>FP7::SP2::ERC</funding_level_2> </funding> </rel> The funding
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@ -158,12 +213,7 @@
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</dc:relation> <dc:relation> info:eu-repo/semantics/reference/pmid/1234567
@ -199,34 +249,10 @@
If subject@classname != keywords, then we have a classification scheme to
encode <dc:subject>info:eu-repo/classification/[scheme]/[value]</dc:subject>
<dc:subject>info:eu-repo/classification/dcc/whatever</dc:subject> -->
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@ -256,26 +282,13 @@
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it <dc:format>mediaType of the digital manifestation of the resource</dc:format>
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text to cameCaseText === --><!-- === Modified from http://blog.inventic.eu/2013/08/xslt-snippet-to-convert-string-from-hyphens-to-camelcase/
=== --><!-- === (c) Inventic s.r.o.

View File

@ -3,114 +3,104 @@
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<title classid="subtitle" classname="subtitle"
schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">NeatVision: Visual
Programming for Computer-aided Diagnostic Applications</title>
<title classid="alternative title" classname="alternative title"
schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">Informatics in radiology
(infoRAD): NeatVision: visual programming for computer-aided
diagnostic applications.</title>
<title classid="main title" classname="main title"
schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title"
inferred="false" provenanceaction="sysimport:crosswalk:repository"
trust="0.9">A service innovation capability maturity model for SMEs</title>
schemeid="dnet:dataCite_title" schemename="dnet:dataCite_title">
Informatics in Radiology (
<b>
<i>info</i>
</b>
RAD)
</title>
<bestaccessright classid="OPEN"
classname="Open Access" schemeid="dnet:access_modes"
schemename="dnet:access_modes" />
<creator rank="1" name="Tadhg" surname="Blommerde">Blommerde, Tadhg
</creator>
<creator rank="2" name="Patrick" surname="Lynch">Lynch, Patrick
<creator rank="1" name="Paul F." surname="Whelan"
orcid="0000-0001-9230-7656">Whelan, Paul F.</creator>
<creator rank="2" name="Robert J. T." surname="Sadleir">Sadleir, Robert
J.T.</creator>
<creator rank="3" name="Ovidiu" surname="Ghita">Ghita, Ovidiu
</creator>
<country classid="IE" classname="Ireland"
schemeid="dnet:countries" schemename="dnet:countries" />
<dateofacceptance>2015-04-28</dateofacceptance>
<description>There is general consensus that service innovations are
prerequisite to sustained competitive advantage and are an essential
mechanism for responding to changes in customer needs and the
operating environment of firms (Giannopoulou et al., 2011; Stryja et
al., 2013). Services have been described as ubiquitous in their role
of generating economic growth and wellbeing and represent over 70% of
employment and GDP in developed nations (Janssen et al., 2012;
Mustak, 2014). As a consequence, service innovations must be a core
ambition of all countries, regions, and firms wishing to remain
competitive (van Ark et al., 2003). While acknowledging the
importance of once-off innovations, more critical still is the
capability to repeatedly introduce and exploit service innovations
(Siguaw et al., 2006). This is generally referred to as service
innovation capability (SIC) and describes the repeatable routines and
behaviours that organisations have in place to transform ideas and
knowledge into innovations (Basterretxea and Martínez, 2012).
However, despite links between SIC and continuous, sustainable, and
consistent service innovations, there is evidence that many
organisations struggle with its effective management (Adams et al.,
2006; den Hertog et al., 2010). This is often attributed to the lack
of formal guidance available and the absence of metrics to determine
an organisations SIC performance (Hogan et al., 2011; Szczygielski,
2011). Maturity modelling research in this discipline remains at an
embryonic stage, thus far presenting only conceptual and opaque
discussions that fail to address the necessity for an assessment and
strategic management framework (Gryszkiewicz et al., 2013; Hipp and
Grupp, 2005). Therefore, the purpose of this ongoing research project
is to evaluate the maturity of an organisations SIC to inform its
effective management and enhancement. To achieve this it
dimensionalises the concept into four constituent capabilities,
specifically, strategising, customer involvement, knowledge
management, and networking (Blommerde and Lynch, 2014). The study
then tracks the maturity of these capabilities as they progress
through eight evolutionary plateaus towards a fully developed or
optimal state. This is accomplished through a capability maturity
model that enables organisations to rapidly diagnose key areas of
strength and weakness to systematically cultivate behaviours that
leverage their untapped innovative potential (Wendler, 2012; Essmann
and du Preez, 2010). As a result of the immense knowledge vacuum
characteristic of this discipline, it is anticipated that this
ongoing research project will make a substantial contribution to both
academic understanding and take strides towards filling the void in
practical support (Rapaccini et al., 2013). It expands the service
innovation literature by detailing key service innovation levers,
bolsters the discipline through clear definitions of terminology,
provides a powerful explanation of the development of SICs, and
operationalises the dynamic capabilities view through a novel
self-assessment reference model (Jochem et al., 2011). The next step
in the project is the evaluation of the, as yet, conceptual service
innovation capability maturity model. Adopting a positivistic
philosophical stance, the study proposes the use of structural
equation modelling on data gathered through an extensive survey to
confirm the model and support theoretical assumptions.
</description>
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inferred="false" provenanceaction="sysimport:crosswalk:repository"
trust="0.9">RIKON (Research in Inovation, Knowledge &amp; Organisational
Networks)
<dateofacceptance>2004-11-01</dateofacceptance>
<description>A free visual programmingbased image analysis
development environment for medical imaging applications called
NeatVision was developed to provide high-level access to a wide range
of image processing algorithms through a well-defined, easy-to-use
graphical interface. The system contains over 300 image manipulation,
processing, and analysis algorithms. For more advanced users, an
upgrade path is provided to extend the core library with use of the
developers interface, giving users access to additional plug-in
features, automatic source code generation, compilation with full
error feedback, and dynamic algorithm updates. NeatVision was
designed to allow users at all levels of expertise to focus on the
computer vision design task for computer-aided diagnostic (CAD)
applications rather than the subtleties of a particular programming
language. The environment allows the designers of image
analysisbased CAD techniques to implement their ideas in a dynamic
and straightforward manner. Both NeatVision standard and developers
versions can be downloaded free of charge from the Internet and can
run on a variety of computer platforms.</description>
<subject classid="MAG"
classname="Microsoft Academic Graph classification"
schemeid="dnet:subject_classification_typologies"
schemename="dnet:subject_classification_typologies">Focus (computing)</subject>
<subject classid="FOS"
classname="Fields of Science and Technology classification"
schemeid="dnet:subject_classification_typologies"
schemename="dnet:subject_classification_typologies" inferred="true"
inferenceprovenance="update" provenanceaction="subject:fos">0302 clinical medicine
</subject>
<subject classid="keyword" classname="keyword"
schemeid="dnet:subject_classification_typologies"
schemename="dnet:subject_classification_typologies">Radiology, Nuclear Medicine and imaging</subject>
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<relevantdate classid="created" classname="created"
schemeid="dnet:dataCite_date" schemename="dnet:dataCite_date">2007-03-06</relevantdate>
<relevantdate classid="published-print"
classname="published-print" schemeid="dnet:dataCite_date"
schemename="dnet:dataCite_date">2004-11-01</relevantdate>
<publisher>Radiological Society of North America (RSNA)</publisher>
<source>Crossref</source>
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<context id="tunet" label="TU-NET" type="community" />
<journal issn="0271-5333" eissn="1527-1323" ep="1789" sp="1779" vol="24">RadioGraphics</journal>
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