MSCA-IF-896925_MaMo_WP2-A_GIS

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Dataset information

Country of origin
Updated
2022.04.05 00:00
Created
2022.01.01
Available languages
English
Keywords
GIS; Mapping; Fieldwork; Marie Skłodowska-Curie Action; MSCAIF; GA No. 896925; Materializing Modernity; MaMo
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Dataset description

This dataset originates from the research activities (WP2-WP3) carried out during the H2020- MSCA-IF 2019 EU-funded project "Materializing Modernity - Socialist and Post-socialist Rural Legacy in Contemporary Albania (MaMo)", GA. no. 896925, implemented by Federica Pompejano (MSCA-IF Researcher) at the Instituti i Antropologjise Kulturore dhe i Studimit te Artit (Akademia e Studimeve Albanologjike), Tirana, Albania. This dataset contains five .qgz files and a set of georeferenced raw data (JPG pictures and GPS tracks) collected during the MaMo fieldwork research activities (WP3). This dataset has been curated by Dr Federica Pompejano. The mapping of buildings and landscapes carried out during the fieldwork activities aimed at providing extensive visual documentation of the rural landscape of the five representative macro-areas selected for the MaMo research project. The mapping activity was carried out by means of the QFIELD App and then synchronized in QGIS Desktop 3.18.2. The QGIS Projects (WP2) have been created by Dr Federica Pompejano (IAKSA-ASA) in collaboration and with the support of Prof. Bianca Federici (Università di Genova - UNIGE) and Dr Ilaria Ferrando (Università di Genova - UNIGE). Unless otherwise specified, the data contained in this dataset are open for public disposal under the terms and conditions described in the CC BY-NC-SA 4.0 license. A copy of each QGIS project is deposited at the Scientific Archive of Ethnography and Folklore (IAKSA-ASA) where all MaMo materials are stored, preserved, and are available for consultation under the Archive's terms and conditions. The Scientific Archive of Ethnography and Folklore (IAKSA-ASA) is in Rruga Naim Frasheri 1, Tirana (Albania). E-mail contact is: iaksa@asa.edu.al. ACKNOWLEDGMENTS: This dataset and all its content are part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 896925.
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