{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/datadepsgenerators-jl-making-reusing-data","title":"DataDepsGenerators. jl: making reusing data easy by automatically generating DataDeps. jl registration code","arxiv_id":null,"date":"2018-11-06","proceeding":"The Journal of Open Source Software 2018 11","authors":["Lyndon White","Sebastin Santy"],"abstract":"DataDepsGenerators.jl is a tool written to help users of the Julia programming language(Bezanson, Edelman, Karpinski, & Shah, 2017), to observe best practices when making use of published datasets. Using the metadata present in published datasets, it generates the code for the data dependency registration blocks required by DataDeps.jl (White, Togneri, Liu, & Bennamoun, 2018). These registration blocks are effectively executable metadata, which can be resolved by DataDeps.jl to download the dataset. They include a message that is displayed to the user whenever the data set is automatically downloaded. This message should include provenance information on the dataset, so that downstream users know its original source and details on its processing","url_abs":"https://joss.theoj.org/papers/10.21105/joss.00921","url_pdf":"https://www.theoj.org/joss-papers/joss.00921/10.21105.joss.00921.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"datadepsgenerators-jl-making-reusing-data","repo_url":"https://github.com/oxinabox/DataDepsGenerators.jl","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}