Schedule

Everyone talks about building capacity for research, but how do you actually do it? In this presentation we'll share the story of the Scholarly Innovation Lab (SIL) as a "small startup" framework for digital research services, support and community.  The SIL is our answer to meeting the needs of the newer entrants to research computing — the arts, humanities, social and information sciences — with modest resources and a vision for a bigger future. We'll share lessons learned from our—

About a year ago, our campus stood up a high performance computing (HPC) cluster by networking together several different department’s research data centers. This consolidated compute nodes and storage into a single, much larger cluster which could then be utilized by any lab. We followed a co-operative model where a department could donate hardware to this cluster, and their jobs will be “niced” at level proportionate to their contribution value. Researchers could also access the cluster for—

In this session, you will learn how mobile app design can be strategically leveraged in innovative ways to make data collection easier and to increase participant engagement. This information includes insights on user-centered approaches for applying design thinking methodology and includes a discussion of design best practices. Case studies of research apps for special populations will be demonstrated.

SeedMeLab is a set of modular building blocks to create powerful data management and data sharing websites. It enables research teams to manage, share, search, visualize, and present their data in a web-based environment using an access-controlled, branded, and customizable website they own and control. It supports storing and viewing data in a familiar tree hierarchy, but also supports formatted annotations, lightweight visualizations, and threaded comments on any file/folder. SeedMeLab can be easily extended and customized to support metadata, job parameters, and—

There is no recording for this session. The presenters have opted to provide the slides for attendees. These can be downloaded below in the Session Files section - UCTech 2019 Planning Committee

The battle to make research computing more accessible and secure, while extremely engaging, remains complex. This talk will focus on some of the cutting edge containerized research computing implementations that UCSF has designed, attempted to expand, and used at the Center for Digital Health Innovation—

This session will reveal the journey that the UCLA Web Services Team is going through in transitioning from a traditional web development shop to a data first web services organization in support of research and researchers. Areas of focus will include transitioning from traditional infrastructure to cloud infrastructure as-a-service, APIs for data sharing, and creating new knowledge through collaboration.

Because research IT has become a commodity, we need to look for other avenues for adding value. One way of doing this—

In early 2018, our campus rolled out a AWS environment for research computing with PHI, limited to a certain number of use cases, the idea being that if a researcher has a use case matching an approved one, they will have a much more streamlined option to start working on AWS, while still meeting all the security and compliance requirements. We also limited this to a few research projects at first so that we could refine the—

Research facilitation is serious business. Such support is critical to the research and research-coupled academic enterprise. Annual sponsored research in the UC System has grown to over $6 billion dollars (2016-17), yet national sponsors are requiring more external collaboration and are scrutinizing the IT infrastructure that supports research projects. All of this requires complex IT solutions and technology expertise - it is no longer possible for the researcher to act independently, except for the very largest of—

At the request of the presenter, the session recording will not be posted. Please reach out to the presenter with any questions. - UCTech 2019 Planning Committee

Several teams at our campus are building a research data platform, called Information Commons. Along with software tools and data models this forms an infrastructure serving the campus research community with many different types of de-identified clinical data. Currently available/planned data are electronic health records, images, clinical notes, omics and—

ArcGIS is a powerful suite of spatial tools that scales to private enterprises, small cities, and likewise, universities. Structuring enterprise tools in a highly federated environment, such as a university, presents unique challenges, but when done correctly enables researchers to utilize an adaptable research toolkit and collaborate effectively without the overhead of administrative resource constraints. In this session, GIS and IT Professionals from multiple campuses, as well as from the GIS software company, Esri Education Team, will—

Information security of research data is often an afterthought, until there is a data emergency.  We, in our department, have collaborated with data governance, security, CTSI, and privacy, to establish a procedural and technical plan to help ensure the security of our data delivery.  We have focused on 3 methods to improve our IS: quick disclosure, recurring data requests, and Service Now practices to tighten up our security methods.  In this session I will review these methods—

There is only audio for this presentation so, with permission from the presenter, we have provided the slide deck and any supplemental materials in the Session Files section below. - UCTech 2019 Planning Committee

Recently we have launched a new initiative in our institution called “Research Enablement” . This initiative has paved the way for IT to understand the research community’s technology needs, so that we can provide them with secure and sophisticated IT solutions to conduct—

Researchers generate lots of data, and want to store all of it.  As a Research IT group supporting labs and groups with over 1,250 TiB of primary storage, we've built storage solutions of all sizes.  In this session, we'll go over our current solutions for groups with storage needs in the following categories: less than 2 TiB, 2 TiB-200 TiB, and 300+ TiB.  We'll talk about systems built on both flash and magnetic drives, and discuss backup,—

Many research support groups across the UC system are not engaging with (or may be completely unaware of) the many regional and national organizations that exist to support research IT professionals. As such, they are missing the chance to connect with peers, learn about how others are addressing challenges, and what good practices are emerging. This leads to time and resources lost to reinventing wheels, and ultimately to less effective support of research on our campuses. Organizations in—

As the University of California, San Francisco prepares for a containerized future across many different platforms, environments, and teams, the School of Medicine Technology Services team (SOMTech) has begun experimenting with cross-platform containerization solutions. In this experimental architecture, deployment, and development effort, the School of Medicine has built and tested a multi-tenant Kubernetes solution on top of its existing Amazon Research Cloud implementation (ARC + Elastic Kubernetes Service) previously described in the 2018 talk Accelerating Secure Medical—

Many research computing services are seeing rapid growth in the use of virtual machine (VM) and container images to support research computation, applications, and workflows (Belmann et al., 2015). These images are used across a range of compute models and disciplines. Researcher interest in VMs and containers is driven by a wide range of considerations, including need to provision and run VM images when using cloud resources; portability of environments to multiple computational resources or platforms; efficiency in—