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Rialto Development Series: Interview with Gavin Phillips from Imperial College London

Proquest Rialto是对学术图书馆的选择和收购挑战的突破性解决方案。

Proquest Rialto.is a groundbreaking solution to the challenges of selection and acquisition for academic libraries.

我们采访了我们的发展伙伴ProQuest blog so you can learn more about the reasons behind their decision to help build a solution like Rialto.

今天我们为其推出Imperial College London,一个17,000名学生的专业词干机构遍布八个校园。帝国在世界上最好的大学之间一直被评为,帝国致力于通过跨学科的合作发展下一代研究人员,科学家和学者。

Proquest与Gavin Phillips的聊天,在帝国学院收购服务经理。

ProQuest: What do you think are the most pressing issues or challenges to solve with Rialto?

Gavin Phillips:作为一个研究机构意味着并非所有的资源都将非常使用得很好。这是创新的本质 - 没有多少人在做那么件事,否则不会是创新的。我们经常需要超越原始数据的使用情况,有时会棘手。看起来不应该在你的收藏中或应该取消的订阅的东西可能实际上是一小组研究人员,每年都会在补助金中带来十磅。做定性研究来了解这种用法​​是耗时的。这就是吸引我们的Rialto。通过Rialto,我们希望通过创建量化数据来支持我们的购买来释放时间。我们最近在采购锻炼后将打印业务转移到Proquest。

“We wanted to work with suppliers who were using the latest ways to communicate between systems. We were fed up with having time-consuming manual or outdated processes that were 20-25 years old.”

Proquest的一个景点是它正在使用Alma API在系统之间进行沟通,这在我们的经验中更快,更可靠。

我大约一年前与Bob Nardini进行了谈话,关于一个愿景,成为Rialto,将市场嵌入Alma内,因此没有系统互操作性。这是一个系统。这只是对我们的吸引力。

另一个问题是我们的选择者非常繁忙。他们被要求与各部门做出越来越多的信息素养教学,因此他们有很少的时间来实际选择书籍。他们的大部分支出都没有开始,直到春天因为在秋天,学校开始时,他们按时短暂。因此,花费预算可能是一个真正的挑战。Rialto在选择者面前提出建议的潜力非常有价值。选择器可以提供最有可能获得巨大使用的物品,并且他们所要做的就是单击一个按钮。

And finally, speed of supply can be an issue. We get a reading list the first week of teaching. Immediately students are needing to use the books, but it takes time to order them. The more effective we can make our processes, the quicker we’ll be able to provide materials for our students.

PQ: How does this reflect on the leadership role of your library?

GP:Our library’s mission is to inspire Imperial’s communities of learners and researchers by connecting them to information and expertise. We hope Rialto will help us to connect our learners and researchers to the information they need, which free up our time to supply the expertise.

PQ:作为发展合作伙伴帮助您了解更多有关行业问题的信息吗?

GP:One of the things I had no idea about is the potential of machine learning in libraries as I’ve started to think a lot more about how processes can be automated. I can see a lot of application for automation in some of the reports we already run in the library. For example, we have a report for items that are in heavy demand. If we start to get that kind of data in the right place in the system and some rules to support it in the right place, then maybe we don’t need to do anything at all. The books will just arrive.

这也开始在我的大脑中转动齿轮,特别是在阅读名单工作中。所有数据都在Alma中。如果它都可以放在正确的位置,而不是检查数百名阅读列表,我们将能够简单地获取我们需要购买的东西列表,我们可以确认我们是否想要。有各种各样的可能性。这可以每周节省数小时和工作时间。