Ten simple rules for managing laboratory information.
Casey-Tyler BerezinLuis U AguileraSonja BillerbeckPhilip E BourneDouglas M DensmorePaul FreemontThomas E GorochowskiSarah I HernandezNathan J HillsonConnor R KingMichael KöpkeShuyi MaKatie M MillerTae Seok MoonJason H MooreBrian MunskyChris J MyersDequina A NicholasSamuel J PeccoudWen ZhouJean PeccoudPublished in: PLoS computational biology (2023)
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.