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Dataset of tau neutrino interactions recorded by the OPERA experiment / De Lellis, Giovanni (Naples U. ; INFN, Naples ; CERN) ; Dmitrievsky, Sergey (Dubna, JINR) ; Galati, Giuliana (INFN, Naples) ; Lavasa, Artemis (CERN) ; Šimko, Tibor (CERN) ; Tsanaktsidis, Ioannis (CERN) ; Ustyuzhanin, Andrey (Higher Sch. of Economics, Moscow ; Natl. U. Sci. Tech., Moscow ; INFN, Naples)
We describe the dataset of very rare events recorded by the OPERA experiment. The events represent tracks of particles associated with tau neutrino interactions coming from the transformation of muon neutrinos due to a process known as neutrino oscillations. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 08013 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.08013

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CERN Analysis Preservation and Reuse Framework: FAIR research data services for LHC experiments / Fokianos, Pamfilos (CERN) ; Feger, Sebastian (CERN) ; Koutsakis, Ilias (CERN) ; Lavasa, Artemis (CERN) ; Maciulaitis, Rokas (CERN) ; Naim, Kamran (CERN) ; Okraska, Jan (CERN) ; Papadopoulos, Antonios (CERN) ; Rodríguez, Diego (CERN) ; Šimko, Tibor (CERN) et al.
In this paper we present the CERN Analysis Preservation service as a FAIR (Findable, Accessible, Interoperable and Reusable) research data preservation repository platform for LHC experiments. The CERN Analysis Preservation repository allows LHC collaborations to deposit and share the structured information about analyses as well as to capture the individual data assets associated to the analysis. [...]
2020 - 9 p. - Published in : EPJ Web Conf. 245 (2020) 06011 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.06011

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Pushing the Boundaries of Open Science at CERN : Submission to the UNESCO Open Science Consultation / Naim, Kamran
The United Nations Educational, Scientific and Cultural Organization (UNESCO) is working to advance a global dialogue on Open Science through the development of a standard-setting instrument in the form of a Recommendation to be adopted by the UNESCO General Conference in November 2021 [...]
CERN-OPEN-2020-009 - 2020. - 11 p.

10.17181/CERN.1SYT.9RGJ

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The Definition of Reuse / van de Sandt, Stephanie (CERN) ; Dallmeier-Tiessen, Sünje (CERN) ; Lavasa, Artemis (CERN) ; Petras, Vivien (Humboldt U., Berlin)
The ability to reuse research data is now considered a key benefit for the wider research community. Researchers of all disciplines are confronted with the pressure to share their research data so that it can be reused. [...]
2019 - Published in : Data Sci. J. 18 (2019) 22 Fulltext from publisher: PDF;

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Beyond repositories: enabling actionable FAIR open data reuse services in particle physics / Rodriguez Rodriguez, Diego (CERN) ; Simko, Tibor (CERN) ; Dallmeier-Tiessen, Sunje (CERN) ; Feger, Sebastian Stefan (Universitaet Stuttgart (DE)) ; Fokianos, Pamfilos (CERN) ; Kousidis, Konstantinos ; Lavasa, Artemis (CERN) ; Maciulaitis, Rokas (Ministere des affaires etrangeres et europeennes (FR)) ; Okraska, Jan (University of Warsaw (PL)) ; Trzcinska, Anna (CERN) et al.
We describe experiences from building and operating the CERN Open Data repository platform that manages and disseminates more than one petabyte of open data from particle physics. We discuss the education and research use cases of the platform and we argue that in order to make the FAIR open data fully actionable and reusable by a variety of users, the research data repositories should evolve from focusing on resource-hosting present towards integrated service-provisioning future. [...]
IT-TALK-2019-002.- Geneva : CERN, 2019 Slides: PDF;
In : Open Repositories 2019, Hamburg, Hamburg, Germany, 10 - 14 Jun 2019

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Open is not enough / Chen, Xiaoli (CERN ; Sheffield U.) ; Dallmeier-Tiessen, Sünje (CERN) ; Dasler, Robin (CERN) ; Feger, Sebastian (CERN ; Stuttgart U.) ; Fokianos, Pamfilos (CERN) ; Gonzalez, Jose Benito (CERN) ; Hirvonsalo, Harri (CERN ; Helsinki Inst. of Phys.) ; Kousidis, Dinos (CERN) ; Lavasa, Artemis (CERN) ; Mele, Salvatore (CERN) et al.
The solutions adopted by the high-energy physics community to foster reproducible research are examples of best practices that could be embraced more widely. This first experience suggests that reproducibility requires going beyond openness..
2019 - 7 p. - Published in : Nature Phys. 15 (2019) 113-119 Fulltext from Publisher: PDF;

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Publisher Correction: Open is not enough / Chen, Xiaoli ; Dallmeier-Tiessen, Sünje ; Dasler, Robin ; Feger, Sebastian ; Fokianos, Pamfilos ; Gonzalez, Jose Benito ; Hirvonsalo, Harri ; Kousidis, Dinos ; Lavasa, Artemis ; Mele, Salvatore et al.
In the version of this Perspective originally published, one of the authors’ names was incorrectly given as Kati Lassili-Perini, it should have been Kati Lassila-Perini. This has been corrected in all versions of the Perspective..
2019 - 7 p. - Published in : Nature Phys. 15 (2019) 197

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Preserving and reusing high-energy-physics data analyses / Simko, Tibor (CERN) ; Dallmeier-Tiessen, Sunje (CERN) ; Dasler, Robin (CERN) ; Fokianos, Pamfilos (CERN) ; Kuncar, Jiri (CERN) ; Lavasa, Artemis (CERN) ; Mattmann, Annemarie (CERN) ; Rodriguez, Diego (CERN) ; Trzcinska, Anna (CERN) ; Tsanaktsidis, Ioannis (CERN)
The revalidation, reuse and reinterpretation of data analyses require having access to the original virtual environments, datasets and software that was used to produce the original scientific result. The CERN Analysis Preservation pilot project is developing a set of tools that support particle physics researchers in preserving the knowledge around analyses so that capturing, sharing, reusing and reinterpreting data becomes easier. [...]
IT-TALK-2017-007.- Geneva : CERN, 2017 Fulltext: PDF; In : Open Repositories 2007

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1	Lavasa, A

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