{"doi":"10.22323/1.321.0300","title":"Open data as seen by the 4 LHC experiments","abstract":null,"journal":"Proceedings of Sixth Annual Conference on Large Hadron Collider Physics — PoS(LHCP2018)","year":2018,"id":596045,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1526505,"name":"Lara Lloret Iglesias","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Open data as seen by the 4 LHC experiments","abstract":"Open Data and, in general, reproducible research, has become one of the main goals of scientific communities. An adequate policy on Open Data together with the right sharing tools enables academic and scientific reuse of the data, boosting future discoveries, improving the learning curve of the future researchers and helping science to move forward faster. These proceedings summarize the Open Data strategy from the point of view of the four main experiments at the LHC: ATLAS, CMS, LHCb and ALICE.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"23304386","pmcid":null,"openalex_id":"https://openalex.org/W2906227444","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"hybrid","license":"cc-by-nc-nd","oa_locations":[{"url":"https://pos.sissa.it/321/300/pdf","host_type":"conference"},{"url":"https://pos.sissa.it/321/300/pdf","host_type":"publisher"},{"url":"https://doi.org/10.22323/1.321.0300","host_type":"conference"},{"url":"http://cds.cern.ch/record/2669229","host_type":"repository"}],"fields_of_study":["Particle physics theoretical and experimental studies","Distributed and Parallel Computing Systems","Advanced Data Storage Technologies"],"mesh_terms":[],"keywords":["Large Hadron Collider","Open data","Reuse","Open science","Computer science","Open research","Boosting (machine learning)","Data science","Alice (programming language)","Data sharing","Point (geometry)","Atlas (anatomy)","Open source","World Wide Web","Particle physics","Engineering","Machine learning","Physics","Mathematics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-27T20:09:33.570941Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}