Dataset Embargoed Access

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

Pintossi, Nadia


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4518743", 
  "language": "eng", 
  "title": "Assessing cultural heritage adaptive reuse practices: multi-scale challenges and solutions in Rijeka. Dataset", 
  "issued": {
    "date-parts": [
      [
        2021, 
        3, 
        25
      ]
    ]
  }, 
  "abstract": "<p>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</p>\n\n<ul>\n\t<li>Access: dataset embargoed until the doctoral defense of P.N., it can be requested at n.pintossi@tue.nl</li>\n\t<li>Date of data collection:&nbsp;28/03/2019</li>\n\t<li>Geographic location of data collection:&nbsp;Rijeka, Croatia. The venue of the data collection is RiHub, Ul. Ivana Grohovca 1/a, 51000, Rijeka, Croatia.</li>\n\t<li>Activity of data collection:&nbsp;Historic Urban Landscape workshop 3 - Rijeka. Held in Rijeka, Croatia, on 28/03/2019</li>\n\t<li>Aim of data collection:&nbsp;Multi-scale, participatory identification of challenges entailed in the adaptive reuse of cultural heritage and solutions to overcome these challenges.</li>\n\t<li>Methods for collection/generation of data:&nbsp;See the methodology section in&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.</li>\n\t<li>Researchers facilitating roundtable discussion and writing&nbsp;down paper version of data:&nbsp;Marco Acri, Martina Bosone, Deniz Ikiz Kaya, Silvia Iodice, Lu Lu, and Nadia Pintossi.</li>\n\t<li>Researcher translating to English, transcribing data in the digital tabular dataset, and cleaning the data:&nbsp;Nadia Pintossi.</li>\n\t<li>Language of the data:&nbsp;English.</li>\n\t<li>Original language of the data:&nbsp;English and Italian (refer to Original language.csv).</li>\n</ul>", 
  "author": [
    {
      "family": "Pintossi, Nadia"
    }
  ], 
  "type": "dataset", 
  "id": "4518743"
}
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