Matches in SemOpenAlex for { <https://semopenalex.org/work/W3205587532> ?p ?o ?g. }
- W3205587532 abstract "Large-scale datasets present unique opportunities to perform scientific investigations with unprecedented breadth. However, they also pose considerable challenges for the findability, accessibility, interoperability, and reusability (FAIR) of research outcomes due to infrastructure limitations, data usage constraints, or software license restrictions. Here we introduce a DataLad-based, domain-agnostic framework suitable for reproducible data processing in compliance with open science mandates. The framework attempts to minimize platform idiosyncrasies and performance-related complexities. It affords the capture of machine-actionable computational provenance records that can be used to retrace and verify the origins of research outcomes, as well as be re-executed independent of the original computing infrastructure. We demonstrate the framework's performance using two showcases: one highlighting data sharing and transparency (using the studyforrest.org dataset) and another highlighting scalability (using the largest public brain imaging dataset available: the UK Biobank dataset)." @default.
- W3205587532 created "2021-10-25" @default.
- W3205587532 creator A5001354938 @default.
- W3205587532 creator A5007313280 @default.
- W3205587532 creator A5020937808 @default.
- W3205587532 creator A5026460417 @default.
- W3205587532 creator A5028993013 @default.
- W3205587532 creator A5030290895 @default.
- W3205587532 creator A5035798770 @default.
- W3205587532 creator A5081277857 @default.
- W3205587532 date "2021-10-14" @default.
- W3205587532 modified "2023-10-15" @default.
- W3205587532 title "FAIRly big: A framework for computationally reproducible processing of large-scale data" @default.
- W3205587532 cites W1596936080 @default.
- W3205587532 cites W1970928383 @default.
- W3205587532 cites W1979051296 @default.
- W3205587532 cites W2007581301 @default.
- W3205587532 cites W2024524081 @default.
- W3205587532 cites W2024729467 @default.
- W3205587532 cites W2025009638 @default.
- W3205587532 cites W2110417468 @default.
- W3205587532 cites W2117340355 @default.
- W3205587532 cites W2119848633 @default.
- W3205587532 cites W2136573752 @default.
- W3205587532 cites W2148317584 @default.
- W3205587532 cites W2176364835 @default.
- W3205587532 cites W2302501749 @default.
- W3205587532 cites W2314945771 @default.
- W3205587532 cites W2324155410 @default.
- W3205587532 cites W2522628945 @default.
- W3205587532 cites W2527672088 @default.
- W3205587532 cites W2542459869 @default.
- W3205587532 cites W2548230110 @default.
- W3205587532 cites W2604713509 @default.
- W3205587532 cites W2610021178 @default.
- W3205587532 cites W2613409207 @default.
- W3205587532 cites W2745864863 @default.
- W3205587532 cites W2773787581 @default.
- W3205587532 cites W2883183514 @default.
- W3205587532 cites W2893111280 @default.
- W3205587532 cites W2912497992 @default.
- W3205587532 cites W2951583631 @default.
- W3205587532 cites W2985923507 @default.
- W3205587532 cites W3013553122 @default.
- W3205587532 cites W3041300531 @default.
- W3205587532 cites W3084280436 @default.
- W3205587532 cites W3102028509 @default.
- W3205587532 cites W3122320078 @default.
- W3205587532 cites W3136822580 @default.
- W3205587532 cites W3173556047 @default.
- W3205587532 cites W3209170335 @default.
- W3205587532 cites W326249748 @default.
- W3205587532 doi "https://doi.org/10.1101/2021.10.12.464122" @default.
- W3205587532 hasPublicationYear "2021" @default.
- W3205587532 type Work @default.
- W3205587532 sameAs 3205587532 @default.
- W3205587532 citedByCount "0" @default.
- W3205587532 crossrefType "posted-content" @default.
- W3205587532 hasAuthorship W3205587532A5001354938 @default.
- W3205587532 hasAuthorship W3205587532A5007313280 @default.
- W3205587532 hasAuthorship W3205587532A5020937808 @default.
- W3205587532 hasAuthorship W3205587532A5026460417 @default.
- W3205587532 hasAuthorship W3205587532A5028993013 @default.
- W3205587532 hasAuthorship W3205587532A5030290895 @default.
- W3205587532 hasAuthorship W3205587532A5035798770 @default.
- W3205587532 hasAuthorship W3205587532A5081277857 @default.
- W3205587532 hasBestOaLocation W32055875321 @default.
- W3205587532 hasConcept C111919701 @default.
- W3205587532 hasConcept C121332964 @default.
- W3205587532 hasConcept C124101348 @default.
- W3205587532 hasConcept C136764020 @default.
- W3205587532 hasConcept C137981799 @default.
- W3205587532 hasConcept C138885662 @default.
- W3205587532 hasConcept C142724271 @default.
- W3205587532 hasConcept C199360897 @default.
- W3205587532 hasConcept C20136886 @default.
- W3205587532 hasConcept C204787440 @default.
- W3205587532 hasConcept C2522767166 @default.
- W3205587532 hasConcept C27206212 @default.
- W3205587532 hasConcept C2777904410 @default.
- W3205587532 hasConcept C2778755073 @default.
- W3205587532 hasConcept C2779965156 @default.
- W3205587532 hasConcept C2780233690 @default.
- W3205587532 hasConcept C2780560020 @default.
- W3205587532 hasConcept C38652104 @default.
- W3205587532 hasConcept C41008148 @default.
- W3205587532 hasConcept C48044578 @default.
- W3205587532 hasConcept C512654426 @default.
- W3205587532 hasConcept C62520636 @default.
- W3205587532 hasConcept C71924100 @default.
- W3205587532 hasConcept C75684735 @default.
- W3205587532 hasConcept C77088390 @default.
- W3205587532 hasConceptScore W3205587532C111919701 @default.
- W3205587532 hasConceptScore W3205587532C121332964 @default.
- W3205587532 hasConceptScore W3205587532C124101348 @default.
- W3205587532 hasConceptScore W3205587532C136764020 @default.
- W3205587532 hasConceptScore W3205587532C137981799 @default.
- W3205587532 hasConceptScore W3205587532C138885662 @default.
- W3205587532 hasConceptScore W3205587532C142724271 @default.
- W3205587532 hasConceptScore W3205587532C199360897 @default.