NEVES FERNANDES, Luis Ricardo, Věra KLONTZA, Dominika SCHMIDTOVÁ, Linda MELICHEROVÁ a Carlo COCOZZA. Let's open Pandora's box! The possibilities and future of open access science. In Theoretical Approaches to Computational Archaeology. 2021.
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Základní údaje
Originální název Let's open Pandora's box! The possibilities and future of open access science
Název česky Otevřme Pandořinu skříňku! Možnosti a budoucnost otevřené vědy.
Autoři NEVES FERNANDES, Luis Ricardo, Věra KLONTZA, Dominika SCHMIDTOVÁ, Linda MELICHEROVÁ a Carlo COCOZZA.
Vydání Theoretical Approaches to Computational Archaeology, 2021.
Další údaje
Originální jazyk angličtina
Typ výsledku Prezentace na konferencích
Obor 60102 Archaeology
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
WWW Program konference a abstrakta
Organizační jednotka Filozofická fakulta
Klíčová slova česky open access věda; modelování dat; databáze; Pandora Earth
Klíčová slova anglicky open access science; data modelling; databases; Panroda Earth
Štítky database, Pandora
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Renata Macholdová, učo 216933. Změněno: 31. 1. 2022 11:17.
Anotace
Science should serve people, nature, and promote a sustainable future for our planet. We believe that this can only be achieved by an open approach to the learning and sharing of knowledge. However, science today is facing complex problems in achieving these goals. In particular, there are considerable inequalities among institutions and countries when it comes to access to resources and technologies to collect and process data and to model this into sharable knowledge. There is also the risk that novel methods based on artificial intelligence may compound such inequalities. We believe that such issues must be addressed by following an interdisciplinary andcommunity-based approach. Pandora (https://pandoradata.earth/) is a grassroots decentralized data initiative devoted to the study of the human story by bringing together multiple research communities and networks from across historical and archaeological fields. It emerged from the experience gained via the IsoMemo initiative, a network of isotopic databases. Pandora offers open technologies where research communities from across various academic disciplines can self-manage and self-curate datasets that are made more accessible and easily findable by other researchers. The Pandora initiative is also developing computational methods to improve data usage and integration plus work is being done on artificial intelligence techniques to aid in data harvesting and societal modelling. The aim is to generate useful knowledge that can be employed by policymakers and risk analysts to address present and future societal challenges.
Anotace česky
Science should serve people, nature, and promote a sustainable future for our planet. We believe that this can only be achieved by an open approach to the learning and sharing of knowledge. However, science today is facing complex problems in achieving these goals. In particular, there are considerable inequalities among institutions and countries when it comes to access to resources and technologies to collect and process data and to model this into sharable knowledge. There is also the risk that novel methods based on artificial intelligence may compound such inequalities. We believe that such issues must be addressed by following an interdisciplinary andcommunity-based approach. Pandora (https://pandoradata.earth/) is a grassroots decentralized data initiative devoted to the study of the human story by bringing together multiple research communities and networks from across historical and archaeological fields. It emerged from the experience gained via the IsoMemo initiative, a network of isotopic databases. Pandora offers open technologies where research communities from across various academic disciplines can self-manage and self-curate datasets that are made more accessible and easily findable by other researchers. The Pandora initiative is also developing computational methods to improve data usage and integration plus work is being done on artificial intelligence techniques to aid in data harvesting and societal modelling. The aim is to generate useful knowledge that can be employed by policymakers and risk analysts to address present and future societal challenges.
Návaznosti
MUNI/A/1122/2020, interní kód MUNázev: Archeologické terénní prospekce, exkavace a dokumentace I
Investor: Masarykova univerzita, Archeologické terénní prospekce, exkavace a dokumentace I
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