基于移动互联网提升大型仪器共享平台高效获取动物科学数据

Efficient Large Instrument and Scientific Data Sharing Platform Based on the Mobile Internet

当前我国高校科学数据获取效率低下、无法统一保存、面临数据损坏或永远丢失的危险,需完善提升科学数据获取及平台管理效率的措施,以便更好的发挥科学数据价值。仪器设备是获取科学数据的物质基础,为提高大型仪器设备使用效率,全国多数高校已建成大型仪器设备共享管理平台。随着世界进入移动互联网时代,人们的生活工作方式正在发生深刻变化,尤其移动通讯广泛进入大学校园,运用移动互联网技术提升大型仪器设备开放共享水平,进而提升科学数据的获取能力势在必行。南京农业大学动物科学类国家级实验教学示范中心进行了积极探索,把现有大型仪器预约管理系统升级延伸到个人手机客户端,构建了微预约、微使用、微管理新模式,解决了随时随地预约仪器和获取科学数据的便捷性,以及管理上全天候、及时快速审阅与管理,全面提升了高校大型仪器共享平台使用效率和管理水平,提高了科学数据的获取能力及存储安全,提升优质教育资源利用效率的最大化和最优化。

The current efficiency of scientific data acquisition is low. Management and projects in Chinese universities lack an overall standard for management and coordination, and large amounts of scientific data are at risk of damage and permanent loss. Hence, measures to improve research data acquisition and platform management efficiency are urgently needed to ensure the value of scientific data is fully exploited. Instruments and equipment are the material basis for obtaining scientific data. To improve the utilization of large instruments and equipment, most universities in China have created sharing management systems for them. As the world enters the era of the mobile Internet, the daily life and work activities of humans are undergoing profound changes.In particular, mobile communication is now widely used on university campuses. It is hence imperative to use mobile Internet technology to improve the level of open sharing of large instruments and equipment. The National Experimental Teaching Demonstration Center for Animal Science at Nanjing Agricultural University has actively investigated and implemented the extension of its existing large instrument reservation management system to personal mobile phone clients. In this system, new modes of micro-reservation, micro-use, and micro-management have been integrated. Instruments reservations may now be made and scientific data may be accessed anytime and anywhere. This system has improved the efficiency of the large-scale instrument sharing platform, its management, and the ability of scientific data to be acquired and stored safely.