Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rosemarie Leone"'
Autor:
Mirko Albani, Rosemarie Leone, Federica Foglini, Francesco De Leo, Fulvio Marelli, Iolanda Maggio
Publikováno v:
Data Science Journal, Vol 19, Iss 1 (2020)
Over recent decades large amounts of data about our Planet have become available. If this information could be easily discoverable, accessible and properly exploited, preserved and shared, it would potentially represent a wealth of information for a
Externí odkaz:
https://doaj.org/article/273afdce244443b49a77df50960c9632
Autor:
Rosemarie Leone, Ilkay Altintas, Charles Meertens, Vito Romaniello, Stefano Salvi, Simone Mantovani, Cristiano Silvagni, Francesco De Leo, Federica Foglini, Jose Manuel Gomez-Perez, Sergio Albani, Melissa A. Genazzio, Henry W. Loescher, Raul Palma, Fran Boler, Mirko Albani, Fulvio Marelli, Michele Lazzarini, Andres Garcia-Silva, Marcin Krystek, Timothy Aldridge, Valentina Grande, Daniel Crawl, Elisa Trasatti, Helen Glaves, Hazel J. Napier, Christine Laney
Publikováno v:
Future generation computer systems 98 (2019): 550–564. doi:10.1016/j.future.2019.03.046
info:cnr-pdr/source/autori:Garcia-Silva A.; Gomez-Perez J.M.; Palma R.; Krystek M.; Mantovani S.; Foglini F.; Grande V.; De Leo F.; Salvi S.; Trasatti E.; Romaniello V.; Albani M.; Silvagni C.; Leone R.; Marelli F.; Albani S.; Lazzarini M.; Napier H.J.; Glaves H.M.; Aldridge T.; Meertens C.; Boler F.; Loescher H.W.; Laney C.; Genazzio M.A.; Crawl D.; Altintas I./titolo:Enabling FAIR research in Earth Science through research objects/doi:10.1016%2Fj.future.2019.03.046/rivista:Future generation computer systems/anno:2019/pagina_da:550/pagina_a:564/intervallo_pagine:550–564/volume:98
info:cnr-pdr/source/autori:Garcia-Silva A.; Gomez-Perez J.M.; Palma R.; Krystek M.; Mantovani S.; Foglini F.; Grande V.; De Leo F.; Salvi S.; Trasatti E.; Romaniello V.; Albani M.; Silvagni C.; Leone R.; Marelli F.; Albani S.; Lazzarini M.; Napier H.J.; Glaves H.M.; Aldridge T.; Meertens C.; Boler F.; Loescher H.W.; Laney C.; Genazzio M.A.; Crawl D.; Altintas I./titolo:Enabling FAIR research in Earth Science through research objects/doi:10.1016%2Fj.future.2019.03.046/rivista:Future generation computer systems/anno:2019/pagina_da:550/pagina_a:564/intervallo_pagine:550–564/volume:98
Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement, research objects contain and describe scientific information and reso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ea6dde929a9d7641dac2478d4d123a
https://doi.org/10.1016/j.future.2019.03.046
https://doi.org/10.1016/j.future.2019.03.046
Autor:
Federica Foglini, Mirko Albani, Fulvio Marelli, Rosemarie Leone, Iolanda Maggio, Francesco De Leo
Publikováno v:
Data Science Journal, Vol 19, Iss 1 (2020)
Data Science Journal; Vol 19 (2020); 21
Data Science Journal; Vol 19 (2020); 21
Over recent decades large amounts of data about our Planet have become available. If this information could be easily discoverable, accessible and properly exploited, preserved and shared, it would potentially represent a wealth of information for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf6e37e582992a4a929578ea5151f19a
https://doi.org/10.5334/dsj-2020-021
https://doi.org/10.5334/dsj-2020-021
Publikováno v:
IGARSS
A cooperative and harmonized collective approach on Long Term Data Preservation (LTDP) is ongoing in Europe with the goal to coordinate and optimize European efforts in the LTDP area. The aim is to ultimately preserve the entire European EO space dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ac37c33de1e06c335db7392a3fe4834
https://doi.org/10.1109/igarss.2012.6351979
https://doi.org/10.1109/igarss.2012.6351979
Publikováno v:
IGARSS
Within the past 40 years a large number of unique Earth observation datasets have been acquired and archived by space agencies and other Earth observation data producers worldwide. These time series, and in particular those based on radiometrically s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d84634a187a880d65cfeeae770e67b9c
https://doi.org/10.1109/igarss.2012.6351980
https://doi.org/10.1109/igarss.2012.6351980
Autor:
Amalio Nieto, Rosemarie Leone, Vincenzo Beruti, Oscar Perez, Ruben F. Perez, Oscar Portela, Mirko Albani, Antonio Saenz
Publikováno v:
MSST
The Long term data Archive Study on new Technologies (LAST) project aims to assess and benchmark long term data archival technologies supporting the European Space Agency Earth Observation Long Term Data Preservation Program. A classification of tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce1c52957087d69dcf2db54fb74f115
https://doi.org/10.1109/msst.2011.5937234
https://doi.org/10.1109/msst.2011.5937234