Analizzare la Scatola Nera nella Ricerca Umanistica. Documentare la Metodologia per Garantire la Trasparenza e la Tracciabilità delle Mostre Digitali
DOI:
https://doi.org/10.6092/issn.2532-8816/21177Parole chiave:
Riproducibilità, Gemello Digitale, Patrimonio Culturale, Scienza Aperta, Trasparenza della RicercaAbstract
Questo articolo affronta il tema della ricerca aperta e riproducibile nel campo del Patrimonio Culturale, presentando come caso di studio il gemello digitale della mostra “L’Altro Rinascimento: Ulisse Aldrovandi e le Meraviglie del Mondo”. Dopo una panoramica sui concetti di “riproducibilità”, “replicabilità” e “ripetibilità” in diversi contesti di ricerca, viene descritto il processo di acquisizione e digitalizzazione, con particolare attenzione alla raccolta di metadati e paradati (ad esempio, tecniche di acquisizione, responsabilità di ciascuno, date di inizio e fine) e alle attività necessarie per elaborare, trasformare e pubblicare gli oggetti digitali del patrimonio culturale e i relativi metadati come FAIR e linked open data.
Viene inoltre illustrato come siano state impiegate tecnologie e software open source per massimizzare la trasparenza, la tracciabilità e la riutilizzabilità del flusso di lavoro nella creazione di una mostra virtuale in contesti diversi. Infine, tornando al concetto di “competenza riproducibile” (“reproducible expertise”), si menzionano gli ostacoli che ancora persistono alla trasparenza e all’accountability nell’ecosistema accademico.
Riferimenti bibliografici
Balzani, Roberto, Sebastian Barzaghi, Gabriele Bitelli, Federica Bonifazi, Alice Bordignon, Luca Cipriani, Simona Colitti, et al. 2024. ‘Saving Temporary Exhibitions in Virtual Environments: The Digital Renaissance of Ulisse Aldrovandi – Acquisition and Digitisation of Cultural Heritage Objects’. Digital Applications in Archaeology and Cultural Heritage 32 (March):e00309. https://doi.org/10.1016/j.daach.2023.e00309
Barker, Michelle, Neil P. Chue Hong, Daniel S. Katz, Anna-Lena Lamprecht, Carlos Martinez-Ortiz, Fotis Psomopoulos, Jennifer Harrow, et al. 2022. ‘Introducing the FAIR Principles for Research Software’. Scientific Data 9 (1): 622. https://doi.org/10.1038/s41597-022-01710-x
Barzaghi, Sebastian, Alice Bordignon, Bianca Gualandi, Ivan Heibi, Arcangelo Massari, Arianna Moretti, Silvio Peroni, and Giulia Renda. 2024. ‘A Proposal for a FAIR Management of 3D Data in Cultural Heritage: The Aldrovandi Digital Twin Case’. Data Intelligence 6 (4): 1190–1221. https://doi.org/10.3724/2096-7004.di.2024.0061
Barzaghi, Sebastian, Alice Bordignon, Bianca Gualandi, and Silvio Peroni. 2024. ‘Thinking Outside the Black Box: Insights from a Digital Exhibition in the Humanities’. In Me.Te. Digitali. Mediterraneo in Rete Tra Testi e Contesti, Proceedings Del XIII Convegno Annuale AIUCD2024, 138–42. Quaderni Di Umanistica Digitale. Dipartimento di Filologia Classica e Italianistica – Alma Mater Studiorum – Università di Bologna Associazione per l’Informatica Umanistica e le Culture Digitali – AIUCD. https://doi.org/10.6092/unibo/amsacta/7927
Barzaghi, Sebastian, Ivan Heibi, Arianna Moretti, and Silvio Peroni. 2025. ‘Developing Application Profiles for Enhancing Data and Workflows in Cultural Heritage Digitisation Processes’. In The Semantic Web – ISWC 2024, edited by Gianluca Demartini, Katja Hose, Maribel Acosta, Matteo Palmonari, Gong Cheng, Hala Skaf-Molli, Nicolas Ferranti, Daniel Hernández, and Aidan Hogan, 15233:197–217. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-77847-6_11
Bordignon, Alice, Federica Collina, Francesca Fabbri, Daniele Ferdani, MARIA FELICIA REGA, and Mattia Sullini. 2025. ‘Balancing Photorealism and Transparency: A FAIR Approach to 3D Digitisation for Cultural Heritage Documentation and Dissemination’, January. https://doi.org/10.5281/ZENODO.14639952
Cyganiak, Richard, David Wood, and Markus Krötzsch. 2014. ‘RDF 1.1 Concepts and Abstract Syntax’. W3C Recommendation. World Wide Web Consortium. https://www.w3.org/TR/rdf11-concepts/
David, Romain, Kurt Baumann, Yann Le Franc, Barbara Magagna, Lars Vogt, Heinrich Widmann, Thomas Jouneau, et al. 2023. ‘Converging on a Semantic Interoperability Framework for the European Data Space for Science, Research and Innovation (EOSC)’, July. https://doi.org/10.5281/ZENODO.8102786
Demetrescu, Emanuel, Enzo d’Annibale, Daniele Ferdani, and Bruno Fanini. 2020. ‘Digital Replica of Cultural Landscapes: An Experimental Reality-Based Workflow to Create Realistic, Interactive Open World Experiences’. Journal of Cultural Heritage 41 (January):125–41. https://doi.org/10.1016/j.culher.2019.07.018
Derksen, Maarten, Stephanie Meirmans, Jonna Brenninkmeijer, Jeannette Pols, Annemarijn de Boer, Hans Van Eyghen, Surya Gayet, et al. 2024. ‘Replication Studies in the Netherlands: Lessons Learned and Recommendations for Funders, Publishers and Editors, and Universities’, January. https://doi.org/10.31219/osf.io/bj8xz
Doerr, Martin, Christian-Emil Ore, and Stephen Stead. 2007. ‘The CIDOC Conceptual Reference Model - A New Standard for Knowledge Sharing.’ In , 51–56. https://doi.org/10.13140/2.1.1420.6400
Doerr, Martin, and Maria Theodoridou. ‘CRMdig: A Generic Digital Provenance Model for Scientific Observation’, 2011. https://www.usenix.org/legacy/events/tapp11/tech/final_files/Doerr.pdf (accessed on 31/01/2025).
Edmond, Jennifer, and Erzsébet Tóth-Czifra. 2018. ‘Open Data for Humanists, A Pragmatic Guide’, December. https://doi.org/10.5281/ZENODO.2657248
Fanini, Bruno, Daniele Ferdani, Emanuel Demetrescu, Simone Berto, and Enzo d’Annibale. 2021. ‘ATON: An Open-Source Framework for Creating Immersive, Collaborative and Liquid Web-Apps for Cultural Heritage’. Applied Sciences 11 (22): 11062. https://doi.org/10.3390/app112211062
Goodman, Steven N., Daniele Fanelli, and John P. A. Ioannidis. 2016. ‘What Does Research Reproducibility Mean?’ 8 (341).
Gualandi, Bianca, and Silvio Peroni. 2024. ‘Data Management Plan: Second Version’, February. https://doi.org/10.5281/ZENODO.10727879
Karoune, Emma, and Esther Plomp. 2022. ‘Removing Barriers to Reproducible Research in Archaeology’, November. https://doi.org/10.5281/ZENODO.7320029
Koster, Lukas, and Saskia Woutersen-Windhouwer. 2018. ‘FAIR Principles for Library, Archive and Museum Collections: A Proposal for Standards for Reusable Collections’. The Code4Lib Journal, no. 40 (May). https://journal.code4lib.org/articles/13427
Leonelli, Sabina. 2018. ‘Rethinking Reproducibility as a Criterion for Research Quality’. In Research in the History of Economic Thought and Methodology, edited by Luca Fiorito, Scott Scheall, and Carlos Eduardo Suprinyak, 36:129–46. Emerald Publishing Limited. https://doi.org/10.1108/S0743-41542018000036B009
Moore, Jennifer, Adam Rountrey, and Hannah Scates Kettler. 2022. 3D Data Creation to Curation: Community Standards for 3D Data Preservation. ALA. https://www.alastore.ala.org/content/3d-data-creation-curation-community-standards-3d-data-preservation
Niccolucci, Franco, Béatrice Markhoff, Maria Theodoridou, Achille Felicetti, and Sorin Hermon. 2023. ‘The Heritage Digital Twin: A Bicycle Made for Two. The Integration of Digital Methodologies into Cultural Heritage Research’. Open Research Europe 3 (April):64. https://doi.org/10.12688/openreseurope.15496.1
Peels, Rik, and Lex Bouter. 2018. ‘The Possibility and Desirability of Replication in the Humanities’. Palgrave Communications 4 (1): 95. https://doi.org/10.1057/s41599-018-0149-x
Penders, Holbrook, and De Rijcke. 2019. ‘Rinse and Repeat: Understanding the Value of Replication across Different Ways of Knowing’. Publications 7 (3): 52. https://doi.org/10.3390/publications7030052
Peroni, Silvio. 2017. ‘A Simplified Agile Methodology for Ontology Development’. In OWL: Experiences and Directions – Reasoner Evaluation, edited by Mauro Dragoni, María Poveda-Villalón, and Ernesto Jimenez-Ruiz, 55–69. Lecture Notes in Computer Science. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-54627-8_5
Rahal, Rima-Maria, Hanjo Hamann, Hilmar Brohmer, and Florian Pethig. 2022. ‘Sharing the Recipe: Reproducibility and Replicability in Research Across Disciplines’. Research Ideas and Outcomes 8 (November):e89980. https://doi.org/10.3897/rio.8.e89980
Riva, Pat, Maja Žumer, and Trond Aalberg. 2022. ‘LRMoo, a High-Level Model in an Object-Oriented Framework’, October. https://2022.ifla.org/
Robinet, Fabrice, Re´mi Arnaud, Tony Parisi, and and Patrick Cozzi. 2014. ‘glTF: Designing an Open-Standard Runtime Asset Format’. In GPU Pro 5. A K Peters/CRC Press.
White, Ethan, Elita Baldridge, Zachary Brym, Kenneth Locey, Daniel McGlinn, and Sarah Supp. 2013. ‘Nine Simple Ways to Make It Easier to (Re)Use Your Data’. Ideas in Ecology and Evolution 6 (2). https://doi.org/10.4033/iee.2013.6b.6.f
Wilkinson, Mark D., Michel Dumontier, Ijsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. 2016. ‘The FAIR Guiding Principles for Scientific Data Management and Stewardship’. Scientific Data 3 (March):1–9. https://doi.org/10.1038/sdata.2016.18
Wilson, Greg, Jennifer Bryan, Karen Cranston, Justin Kitzes, Lex Nederbragt, and Tracy K. Teal. 2017. ‘Good Enough Practices in Scientific Computing’. Edited by Francis Ouellette. PLOS Computational Biology 13 (6): e1005510. https://doi.org/10.1371/journal.pcbi.1005510
Downloads
Pubblicato
Come citare
Fascicolo
Sezione
Licenza
Copyright (c) 2025 Sebastian Barzaghi, Alice Bordignon, Bianca Gualandi, Silvio Peroni

Questo lavoro è fornito con la licenza Creative Commons Attribuzione 4.0 Internazionale.