{"doi":"10.1145/3460210.3493546","title":"User-friendly Composition of FAIR Workflows in a Notebook Environment","abstract":"There has been a large focus in recent years on making assets in scientific\\nresearch findable, accessible, interoperable and reusable, collectively known\\nas the FAIR principles. A particular area of focus lies in applying these\\nprinciples to scientific computational workflows. Jupyter notebooks are a very\\npopular medium by which to program and communicate computational scientific\\nanalyses. However, they present unique challenges when it comes to reuse of\\nonly particular steps of an analysis without disrupting the usual flow and\\nbenefits of the notebook approach, making it difficult to fully comply with the\\nFAIR principles. Here we present an approach and toolset for adding the power\\nof semantic technologies to Python-encoded scientific workflows in a simple,\\nautomated and minimally intrusive manner. The semantic descriptions are\\npublished as a series of nanopublications that can be searched and used in\\nother notebooks by means of a Jupyter Lab plugin. We describe the\\nimplementation of the proposed approach and toolset, and provide the results of\\na user study with 15 participants, designed around image processing workflows,\\nto evaluate the usability of the system and its perceived effect on FAIRness.\\nOur results show that our approach is feasible and perceived as user-friendly.\\nOur system received an overall score of 78.75 on the System Usability Scale,\\nwhich is above the average score reported in the literature.\\n","journal":"Proceedings of the 11th Knowledge Capture Conference","year":2021,"id":9844,"datarank":0.26876392038420827,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.0,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.047,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-12-02","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":12282,"name":"Remzi Celebi","orcid":null,"position":1,"is_corresponding":false},{"id":84681,"name":"Sven van der Burg","orcid":"0000-0003-1250-6968","position":2,"is_corresponding":false},{"id":84682,"name":"Djura Smits","orcid":null,"position":3,"is_corresponding":false},{"id":80521,"name":"Lars Ridder","orcid":"0000-0002-7635-9533","position":4,"is_corresponding":false},{"id":74,"name":"Michel J. Dumontier","orcid":"0000-0003-4727-9435","position":5,"is_corresponding":false},{"id":4964,"name":"Tobias Kuhn","orcid":"0000-0002-1267-0234","position":6,"is_corresponding":false},{"id":12281,"name":"Luisa Castagnoli","orcid":"0000-0001-5283-8671","position":7,"is_corresponding":false},{"id":84680,"name":"Robin A. Richardson","orcid":"0000-0002-9984-2720","position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","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":[]}