<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Ten simple rules for managing laboratory information</dc:title><dc:creator>Berezin, Casey-Tyler; Aguilera, Luis U; Billerbeck, Sonja; Bourne, Philip E; Densmore, Douglas; Freemont, Paul; Gorochowski, Thomas E; Hernandez, Sarah I; Hillson, Nathan J; King, Connor R; Köpke, Michael; Ma, Shuyi; Miller, Katie M; Moon, Tae Seok; Moore, Jason H; Munsky, Brian; Myers, Chris J; Nicholas, Dequina A; Peccoud, Samuel J; Zhou, Wen; Peccoud, Jean</dc:creator><dc:corporate_author/><dc:editor>Markel, Scott</dc:editor><dc:description>Information is the cornerstone of research, from experimental (meta)data and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems to transform this large information load into useful scientific findings.</dc:description><dc:publisher>Public Library of Science</dc:publisher><dc:date>2023-12-07</dc:date><dc:nsf_par_id>10559999</dc:nsf_par_id><dc:journal_name>PLOS Computational Biology</dc:journal_name><dc:journal_volume>19</dc:journal_volume><dc:journal_issue>12</dc:journal_issue><dc:page_range_or_elocation>e1011652</dc:page_range_or_elocation><dc:issn>1553-7358</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1371/journal.pcbi.1011652</dc:doi><dcq:identifierAwardId>2123367</dcq:identifierAwardId><dc:subject>laboratory informatics, data management, reproducibility, tutorial</dc:subject><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>