Dataset Embargoed Access

Assessing cultural heritage adaptive reuse practices: multi-scale challenges and solutions in Rijeka. Dataset

Pintossi, Nadia


MARC21 XML Export

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    <subfield code="a">&lt;p&gt;Dataset analyzed in Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Access: dataset embargoed until the doctoral defense of P.N., it can be requested at n.pintossi@tue.nl&lt;/li&gt;
	&lt;li&gt;Date of data collection:&amp;nbsp;28/03/2019&lt;/li&gt;
	&lt;li&gt;Geographic location of data collection:&amp;nbsp;Rijeka, Croatia. The venue of the data collection is RiHub, Ul. Ivana Grohovca 1/a, 51000, Rijeka, Croatia.&lt;/li&gt;
	&lt;li&gt;Activity of data collection:&amp;nbsp;Historic Urban Landscape workshop 3 - Rijeka. Held in Rijeka, Croatia, on 28/03/2019&lt;/li&gt;
	&lt;li&gt;Aim of data collection:&amp;nbsp;Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions to overcome these challenges.&lt;/li&gt;
	&lt;li&gt;Methods for collection/generation of data:&amp;nbsp;See the methodology section in&amp;nbsp;Pintossi, N.; Ikiz Kaya, D.; Pereira Roders, A. Assessing Cultural Heritage Adaptive Reuse Practices: Multi-Scale Challenges and Solutions in Rijeka. Sustainability 2021, 13, 3603. https://doi.org/10.3390/su13073603.&lt;/li&gt;
	&lt;li&gt;Researchers facilitating roundtable discussion and writing&amp;nbsp;down paper version of data:&amp;nbsp;Marco Acri, Martina Bosone, Deniz Ikiz Kaya, Silvia Iodice, Lu Lu, and Nadia Pintossi.&lt;/li&gt;
	&lt;li&gt;Researcher translating to English, transcribing data in the digital tabular dataset, and cleaning the data:&amp;nbsp;Nadia Pintossi.&lt;/li&gt;
	&lt;li&gt;Language of the data:&amp;nbsp;English.&lt;/li&gt;
	&lt;li&gt;Original language of the data:&amp;nbsp;English and Italian (refer to Original language.csv).&lt;/li&gt;
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