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The benefits of integrated systems for managing both samples and experimental data: An opportunity for labs in universities and government research institutions to lead the way

机译:集成系统可同时管理样品和实验数据的好处:大学和政府研究机构的实验室有机会引领潮流

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Currently most biomedical labs in universities and government funded research institutions use paper lab notebooks for recording experimental data and spreadsheets for managing sample data. One consequence is that sample management and documenting experiments are viewed as separate and distinct activities, notwithstanding that samples and aliquots are an integral part of a majority of the experiments carried out by these labs. Various drivers are pushing labs towards integrated management of sample data and experimental data. These include the ever increasing amounts of both kinds of data, the increasing adoption of online collaborative tools, changing expectations about online communication, and the increasing affordability of electronic lab notebooks and sample management software. There is now an opportunity for smaller labs, which have been slow to move from paper to electronic record keeping, to leapfrog better resourced commercial labs and lead the way in adopting the new generation of tools which permit integrated management of samples and experimental data and a range of tangible benefits to conducting research, including: 1. Fewer lost and mislabelled samples 2. Clearer visualization of relationships between samples and experiments 3. Reduction of experimental error 4. More effective search 5. Productivity gains 6. More efficient use of freezers, leading to cost reduction and enhanced sustainability 7. Improved archiving and enhanced memory at the lab and institutional levels
机译:当前,大学和政府资助的研究机构中的大多数生物医学实验室都使用纸质实验室笔记本记录实验数据,并使用电子表格来管理样品数据。结果是,尽管样品和等分试样是这些实验室执行的大多数实验的组成部分,但样品管理和记录实验被视为独立且不同的活动。各种驱动因素都在推动实验室朝着样品数据和实验数据的集成管理方向发展。其中包括两种数据的数量不断增加,在线协作工具的采用不断增加,对在线交流的期望不断变化以及电子实验室笔记本和样品管理软件的价格越来越高。现在,较小的实验室(从纸质记录转移到电子记录保存方面很慢)有机会超越资源更丰富的商业实验室,并引领采用新一代工具的方式,该工具允许对样品和实验数据以及数据进行集成管理。进行研究的一系列实际好处,包括:1.丢失和贴错标签的样品更少2.样品与实验之间关系的可视化更加清晰3.减少实验误差4.更加有效的搜索5.生产率提高6.冷冻机的更有效利用,导致降低成本和增强可持续性7.在实验室和机构级别改进归档并增强存储能力

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