{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T14:16:03Z","timestamp":1788963363939,"version":"build-2803163510"},"posted":{"date-parts":[[2026,9,7]]},"group-title":"Bioinformatics","reference-count":18,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T00:00:00Z","timestamp":1788739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/"}],"funder":[{"award":["ZICMH002960"],"award-info":[{"award-number":["ZICMH002960"]}],"id":[{"id":"https:\/\/ror.org\/04xeg9z08","id-type":"ROR","asserted-by":"publisher"}]},{"award":["75N91019D00024"],"award-info":[{"award-number":["75N91019D00024"]}],"id":[{"id":"https:\/\/ror.org\/040gcmg81","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,9,7]]},"abstract":"<jats:title>Summary<\/jats:title>\n                <jats:p>\n                  <jats:monospace>labapi<\/jats:monospace>\n                  is a Python library that enables computational workflows to connect to LabArchives\u2019 electronic lab notebook (ELN). Without an Application Programming Interface (API) connection, researchers must manually add workflow outputs through the LabArchives web interface, navigating to the appropriate page and uploading each output so that it appears with the experimental notes that provide context.\n                  <jats:monospace>labapi<\/jats:monospace>\n                  translates the flat LabArchives API into a Python object model following the existing hierarchy of the web interface, allowing workflows to navigate and modify notebook content through familiar paths.\n                <\/jats:p>\n                <jats:p>\n                  <jats:monospace>labapi<\/jats:monospace>\n                  enables researchers to build interconnected workflows that both read in and write data to LabArchives\u2019 ELN automatically. Researchers can inspect those outputs in the notebook, and later analysis code can read them back for another stage of analysis.\n                <\/jats:p>","DOI":"10.64898\/2026.09.02.748406","type":"posted-content","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T11:45:16Z","timestamp":1788781516000},"source":"Crossref","is-referenced-by-count":0,"title":["labapi: a Python object model for the LabArchives electronic lab notebook"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4624-2578","authenticated-orcid":false,"given":"Christoph","family":"Li","sequence":"first","affiliation":[{"name":"Data Science and Sharing Team, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2301-9073","authenticated-orcid":false,"given":"Josh","family":"Lawrimore","sequence":"additional","affiliation":[{"name":"Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0422-3135","authenticated-orcid":false,"given":"Dustin","family":"Moraczewski","sequence":"additional","affiliation":[{"name":"Data Science and Sharing Team, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2850-1419","authenticated-orcid":false,"given":"Adam G.","family":"Thomas","sequence":"additional","affiliation":[{"name":"Data Science and Sharing Team, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"54368","reference":[{"key":"2026090906551509000_2026.09.02.748406v1.1","unstructured":"alaninmcr. (2015). labarchives-client. https:\/\/github.com\/alaninmcr\/labarchives-client"},{"key":"2026090906551509000_2026.09.02.748406v1.2","unstructured":"Benchling. (2026). Benchling SDK: Python client for the Benchling Developer Platform. https:\/\/docs.benchling.com\/docs\/getting-started-with-the-sdk"},{"key":"2026090906551509000_2026.09.02.748406v1.3","unstructured":"Brudner, S. (2026). LabArchives MCP Server. https:\/\/github.com\/SamuelBrudner\/lab_archives_mcp"},{"key":"2026090906551509000_2026.09.02.748406v1.4","unstructured":"Cmero, M. (2022). labarchives-py. https:\/\/github.com\/mcmero\/labarchives-py"},{"key":"2026090906551509000_2026.09.02.748406v1.5","unstructured":"eLabFTW. (2026). elabapi-python: Python client for the eLabFTW REST API. https:\/\/github.com\/elabftw\/elabapi-python"},{"key":"2026090906551509000_2026.09.02.748406v1.6","unstructured":"Fuschi, M. (2019). labarchives-js. https:\/\/github.com\/marcellofuschi\/labarchives-js"},{"key":"2026090906551509000_2026.09.02.748406v1.7","unstructured":"King, A. (2019). Parse, don\u2019t validate. https:\/\/lexi-lambda.github.io\/blog\/2019\/11\/05\/parse-don-t-validate\/"},{"key":"2026090906551509000_2026.09.02.748406v1.8","unstructured":"LabArchives, LLC. (2026a). LabArchives API. https:\/\/mynotebook.labarchives.com\/share\/LabArchives%20API\/NS4yfDI3LzQvVHJlZU5vZGUvMTF8MTMuMg"},{"key":"2026090906551509000_2026.09.02.748406v1.9","unstructured":"LabArchives, LLC . (2026b). LabArchives Electronic Lab Notebook. https:\/\/www.labarchives.com\/"},{"key":"2026090906551509000_2026.09.02.748406v1.10","unstructured":"Lawrimore, J. (2026). muronto: recording neuro-behavioral experiments in LabArchives. https:\/\/github.com\/nimh-dsst\/muronto"},{"key":"2026090906551509000_2026.09.02.748406v1.11","unstructured":"Li, C. (2026). save-my-jupyter: JupyterLab snapshots to LabArchives. https:\/\/github.com\/nimh-dsst\/save-my-jupyter"},{"key":"2026090906551509000_2026.09.02.748406v1.12","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.22021367"},{"key":"2026090906551509000_2026.09.02.748406v1.13","unstructured":"NIH Office of Intramural Research. (2024). Intramural Electronic Lab Notebook Policy. https:\/\/oir.nih.gov\/sourcebook\/intramural-program-oversight\/electronic-lab-notebooks\/intramural-electronic-lab-notebook-policy"},{"key":"2026090906551509000_2026.09.02.748406v1.14","unstructured":"nimh-dsst\/labapi contributors. (2026). Wrap the notebooks\/notebook_backup API as Notebook.backup(), issue #264. https:\/\/github.com\/nimh-dsst\/labapi\/issues\/264"},{"key":"2026090906551509000_2026.09.02.748406v1.15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.10.018"},{"key":"2026090906551509000_2026.09.02.748406v1.16","unstructured":"Research Space. (2026). rspace-client-python: Python client for the RSpace API. https:\/\/github.com\/rspace-os\/rspace-client-python"},{"key":"2026090906551509000_2026.09.02.748406v1.17","doi-asserted-by":"publisher","DOI":"10.18112\/openneuro.ds000228.v1.1.0"},{"key":"2026090906551509000_2026.09.02.748406v1.18","unstructured":"University of Technology Sydney eResearch. (2024). sails-hook-redbox-labarchives: LabArchives Plugin for redbox-portal. https:\/\/code.research.uts.edu.au\/eresearch\/sails-hook-redbox-labarchives"}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.64898\/2026.09.02.748406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T13:55:27Z","timestamp":1788962127000},"score":1,"resource":{"primary":{"URL":"http:\/\/biorxiv.org\/lookup\/doi\/10.64898\/2026.09.02.748406"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,7]]},"references-count":18,"URL":"https:\/\/doi.org\/10.64898\/2026.09.02.748406","relation":{},"subject":[],"published":{"date-parts":[[2026,9,7]]},"subtype":"preprint"}}