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Template for reproducible scientific datasets/papers
dc.contributor.author | Akhlaghi, Mohammad |
dc.date.accessioned | 2020-10-29T11:41:55Z |
dc.date.available | 2020-10-29T11:41:55Z |
dc.date.issued | 2020 |
dc.identifier.citation | Akhlaghi, M. Template for reproducible scientific datasets/papers. A: . Barcelona Supercomputing Center, 2020, p. 53-54. |
dc.identifier.uri | http://hdl.handle.net/2117/330963 |
dc.description.abstract | The increasing volume, diversity, and role of data in modern research has been very fruitful. However, these same factors, have also made it harder to describe (in sufficient detail) the processing behind a scientific result within the confines of a traditional paper. It is thus becoming harder and harder to reproduce (i.e., critically review by coauthors, referees or larger community) results that define scientific progress. In this talk, a working solution to this problem is proposed. |
dc.format.extent | 2 p. |
dc.language | en |
dc.language.iso | eng |
dc.publisher | Barcelona Supercomputing Center |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | High performance computing |
dc.title | Template for reproducible scientific datasets/papers |
dc.type | Conference report |
dc.subject.lemac | Càlcul intensiu (Informàtica) |
dc.rights.access | Open Access |
local.citation.startingPage | 53 |
local.citation.endingPage | 54 |