- Why are we here
- Research computing in developmental research
- Where are we now
- Where do we want to go
- Preview of strategic plan elements
“How can our faculty and students be more productive?”
“What resources (people, technologies, and expertise) will enable Penn State’s developmental community to expand its impact and reach?”
“What barriers (policies, technologies, and expertise) limit or slow progress?”
"How do emerging trends around sharing, transparency, and openness affect our work?
…for you with research computing…
Where/how/when/with whom we share data (and materials)
technologies, expertise, policies
We will ensure that researchers have access to national-caliber advanced computational services for traditional high performance computing and high throughput computing workloads.
We will ensure that researchers working with emerging technologies (e.g. artificial intelligence, machine learning, immersive technologies, etc.) have access to the tools and expertise they need to accomplish their research.
We will ensure that researchers have access to resources and expertise to accomplish their goals whether they are working on local-scale computational clusters, university-scale computational clusters, national-scale computational clusters, or cloud-native computational environments.
We will ensure that researchers have access to modern software for administering their research.
We will ensure that researchers have access to appropriate resources for providing public access to their research, whether through website tools or university-scale analytical tools.
We will ensure that researchers have the tools to collaborate effectively across the university, the nation, and the world.
We will partner with the research-data-related offices across the university to put in place a holistic approach to managing research data from data acquisition through data archiving or disposal.
Through a combination of network technologies and data transfer applications, we will ensure that large datasets can be efficiently moved around the university, and to partners elsewhere, as needed.
We will partner with an appropriate subset of the research-data-related offices across the university to ensure that the university can properly secure any research data subject to access restrictions.
We will partner with an appropriate subset of the research-data-related offices across the university to ensure that the university can properly comply with all public access to data requirements.
This talk was produced on 2020-02-25 in RStudio using R Markdown. The code and materials used to generate the slides may be found at https://github.com/psu-psychology/open-data-and-developmental-science-ODDS/. Information about the R Session that produced the code is as follows:
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