The good, the bad and the ugly: evaluating Open Science practices in archaeology
- Title
- The good, the bad and the ugly: evaluating Open Science practices in archaeology
- Creator(s)
- Alessio PalmisanoSee all items with this value
- Andrea TitoloSee all items with this value
- Date
- 2024
- Is Part Of
-
Archeologia e Calcolatori
- Volume
- 35
- Issue
- 2
- Pages
- 75-84
- Language
- eng
- Rights
- CC BY-NC-ND 4.0
- Abstract
- In the past decade, archaeology has witnessed a surge in digital data and methodologies made accessible through online repositories, databases, collaborative platforms like GitHub, and library collections. While this ‘digital revolution’ has lead to notable advancements in data accessibility and dissemination, it has also presented several challenges. These include developing effective data management strategies, defining scientific publication modalities, addressing ethical concerns regarding the protection of cultural heritage, and bridging the gap between rich and poor research institutions. Taking these challenges into account, this paper aims to outline best practices for data sharing, dissemination, and reproducibility in archaeology, underscoring their benefits to researchers and the wider public. Through a range of approaches and practical examples drawn from everyday research scenarios, we will demonstrate how these practices promote transparency and foster open science.
- Zotero References Collection
- https://www.zotero.org/groups/5293298/bidiar/collections/PBXLHX8E
- Cites
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- NeoNet Dataset. Radiocarbon Dates for the Late Mesolithic/Early Neolithic Transition in the North Central-Western Mediterranean Basin
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- The data deluge
- Peer Community In Archaeology: a community-driven free and transparent system for preprints peer-reviewing
- Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation
- Removing Barriers to Reproducible Research in Archaeology
- A Standard for the Scholarly Citation of Archaeological Data as an Incentive to Data Sharing
- CRAN Task View: Archaeological Science
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