NSF NCAR branding updates (#274)

* NSF NCAR updates and minor updates to FAQ page

* NSF NCAR branding updates

about.md

@@ -4,7 +4,7 @@ The Earth System Data Science (ESDS) initiative is a community
 with a common interest in advancing geoscientist’s ability to make
 effective use of modern, open tools and technologies to support
 their Data Science needs. ESDS welcomes participation from all
-NCAR/UCAR Lab/Centers/Programs/Offices (LCPOs). We are primarily a volunteer organization, and
+NSF NCAR and UCAR Lab/Centers/Programs/Offices (LCPOs). We are primarily a volunteer organization, and
 encourage each Lab, Center, Program or Office (LCPO) to support our efforts by delegating representatives
 to serve on the ESDS Leadership Committee and/or Working Groups as
 described in our [governance document](https://docs.google.com/document/d/1xjNzJqZjeRzUg5BMipQVUsy2xA1SRlEiyJLpPmUAs9E/edit?usp=sharing).
@@ -51,24 +51,24 @@ described in our [governance document](https://docs.google.com/document/d/1xjNzJ
 
 ## Vision
 
-_The Earth System Data Science initiative aims to profoundly increase the effectiveness of the NCAR/UCAR workforce by promoting deeper collaboration centered on analytics, improving our capacity to deliver impactful, actionable, reproducible science and serve the university community by transforming how geoscientists synthesize and extract information from large, diverse data sets._
+_The Earth System Data Science initiative aims to profoundly increase the effectiveness of the NSF NCAR and UCAR workforce by promoting deeper collaboration centered on analytics, improving our capacity to deliver impactful, actionable, reproducible science and serve the university community by transforming how geoscientists synthesize and extract information from large, diverse data sets._
 
-Effective synthesis and analysis of large datasets is a rate-limiting step to advancing science across NCAR/UCAR and our community. Recent developments in open-source scientific software, notably those identified by the [Pangeo community](https://pangeo.io/), provide both inspiring technical solutions to Big Data geoscience problems and paradigms for large-scale collaboration. Analysis workflows across NCAR/UCAR share much in common, despite disciplinary differences; thus, a focus on data and its transformation into useful information illuminates the potential for novel collaborations across the organization. Moreover, open, collaborative development focused on reproducible science holds transformative potential for how NCAR/UCAR and the community approaches science.
+Effective synthesis and analysis of large datasets is a rate-limiting step to advancing science across NSF NCAR and UCAR and our community. Recent developments in open-source scientific software, notably those identified by the [Pangeo community](https://pangeo.io/), provide both inspiring technical solutions to Big Data geoscience problems and paradigms for large-scale collaboration. Analysis workflows across NSF NCAR and UCAR share much in common, despite disciplinary differences; thus, a focus on data and its transformation into useful information illuminates the potential for novel collaborations across the organization. Moreover, open, collaborative development focused on reproducible science holds transformative potential for how NSF NCAR and UCAR and the community approaches science.
 
 ## Values
 
 **Collaboration.** ESDS explicitly seeks to build collaborative networks oriented toward solving Big Data analysis challenges. Many of our scientific staff spend large fractions of their time writing analysis codes. Agreeing to work together on the development and application of a common set of tools will yield increasing returns in the form of shared knowledge and new opportunities for sustainable community projects.
 
-**Inclusivity.** ESDS will foster a welcoming culture, promoting open communication and proactively encouraging engagement and contributions from across NCAR/UCAR and the university community. We recognize that data science and software engineering skills constitute a major barrier to entry in our research disciplines, which limits the potential diversity of our community. ESDS will explicitly develop training opportunities, improving the technical expertise of our staff and identifying strategies to entrain underrepresented groups, including at the undergraduate and graduate level.
+**Inclusivity.** ESDS will foster a welcoming culture, promoting open communication and proactively encouraging engagement and contributions from across NSF NCAR, UCAR, and the university community. We recognize that data science and software engineering skills constitute a major barrier to entry in our research disciplines, which limits the potential diversity of our community. ESDS will explicitly develop training opportunities, improving the technical expertise of our staff and identifying strategies to entrain underrepresented groups, including at the undergraduate and graduate level.
 
-**Open Development.** Science at NCAR/UCAR is data intensive. We require sustained innovation in our ability to efficiently extract useful information from large, diverse data sets—thus software development is an intrinsic component of modern science. Open Development actively engages the target software user community in the development, support, maintenance, and documentation of software products. Open Development has proven effective at producing critical software tools—notably by adopting a particular, structured paradigm for collaboration. The primary goal of ESDS is to effect a cultural transformation at NCAR/UCAR centered around this Open Development paradigm, enabling us to work together in fundamentally new ways and promoting more extensive collaboration on analysis tools.
+**Open Development.** Science at NSF NCAR and UCAR is data intensive. We require sustained innovation in our ability to efficiently extract useful information from large, diverse data sets—thus software development is an intrinsic component of modern science. Open Development actively engages the target software user community in the development, support, maintenance, and documentation of software products. Open Development has proven effective at producing critical software tools—notably by adopting a particular, structured paradigm for collaboration. The primary goal of ESDS is to effect a cultural transformation at NCAR/UCAR centered around this Open Development paradigm, enabling us to work together in fundamentally new ways and promoting more extensive collaboration on analysis tools.
 
-**Reproducible Science.** Reproducible Science has the potential to be a transformative paradigm, helping to effect a transition toward making science actionable. Scientific papers remain the primary currency of scientific discourse, yet this model is deficient in several respects. Most significantly, papers are not easily extensible; they comprise a version of knowledge rendered into a static narrative. Software and its documentation, by contrast, encapsulate essential scientific knowledge in executable form, intrinsically embracing iterative refinement as fundamental, and enabling reproducibility, which is a cornerstone of best practices in computational science. Moreover, software yields a reusable product, opening opportunities for integration and extension of applications to address stakeholder requirements, including beyond our traditional research communities. This is critical in the context of NCAR/UCAR’s mission to translate science into actionable, societally-relevant information.
+**Reproducible Science.** Reproducible Science has the potential to be a transformative paradigm, helping to effect a transition toward making science actionable. Scientific papers remain the primary currency of scientific discourse, yet this model is deficient in several respects. Most significantly, papers are not easily extensible; they comprise a version of knowledge rendered into a static narrative. Software and its documentation, by contrast, encapsulate essential scientific knowledge in executable form, intrinsically embracing iterative refinement as fundamental, and enabling reproducibility, which is a cornerstone of best practices in computational science. Moreover, software yields a reusable product, opening opportunities for integration and extension of applications to address stakeholder requirements, including beyond our traditional research communities. This is critical in the context of NSF NCAR’s mission to translate science into actionable, societally-relevant information.
 
 ## Near-term Goals
 
 1. Promote partnerships between software engineers and scientists to drive collaborative, Open Development of reusable geoscience workflows, novel approaches in machine learning, and Reproducible Science.
-1. Increase the literacy of the NCAR/UCAR workforce with the best practices supporting the development and application of scalable analysis workflows as well as cultural principles underpinning a capacity for sustained innovation in the context of emerging disruptive computing technology; explicitly engage with the university community on these efforts, and promote broadening participation.
+1. Increase the literacy of the NSF NCAR and UCAR workforce with the best practices supporting the development and application of scalable analysis workflows as well as cultural principles underpinning a capacity for sustained innovation in the context of emerging disruptive computing technology; explicitly engage with the university community on these efforts, and promote broadening participation.
 1. Promote more extensive communication and sharing of workflows between scientists, leading to improved productivity, collaboration, and increased potential for efforts culminating in collective products.
 1. Coordinate and improve deployments of interactive computing environments and analysis-ready datasets.
 1. Identify and interlink existing initiatives related to ESDS across NCAR/UCAR.

best-practices.md

@@ -24,6 +24,6 @@ A group of researchers and software engineers put together a helpful guide for d
 
 ## Managing Computational Resources
 
-### [CISL Best Practices](https://www2.cisl.ucar.edu/user-support/cisl-best-practices)
+### [NSF NCAR HPC Best Practices](https://arc.ucar.edu/knowledge_base/70549811)
 
-If you are using NCAR Computational and Information Systems Lab (CISL) resources such as Casper/Cheyenne, this is a great place to start with learning to make the most of your computing and storage allocations.
+If you are using NSF NCAR Computational and Information Systems Lab (CISL) resources such as Casper and Derecho, this is a great place to start with learning to make the most of your computing and storage allocations.

communication.md

@@ -35,26 +35,26 @@ See the [ESDS Forum Meeting Notes](https://docs.google.com/document/d/e/2PACX-1v
 
 ### Analysis Workflow Special Interest Group (AWSIG)
 
-The AWSIG provides a communication forum for the exchange of ideas and experiences related to the operational aspects of CISL supported **analysis** resources and services (e.g. Casper, JupyterHub, GLADE, VirtualGL, etc.). This working group complements the more modeling/simulation focused [NCAR HPC User Group (NHUG)](https://arc.ucar.edu/knowledge_base/70549847).
+The AWSIG provides a communication forum for the exchange of ideas and experiences related to the operational aspects of CISL supported **analysis** resources and services (e.g. Casper, JupyterHub, GLADE, VirtualGL, etc.). This working group complements the more modeling/simulation focused [NSF NCAR HPC User Group (NHUG)](https://arc.ucar.edu/knowledge_base/70549847).
 
 The AWSIG Seeks to:
 
 - Connect the users & providers of CISL’s analysis resources at regular intervals,
 - Provide advice and feedback to CISL on the current state and future delivery of CISL analysis resources and services,
-- Promote the effective use of NCAR computing facilities by sharing experiences,
+- Promote the effective use of NSF NCAR computing facilities by sharing experiences,
 - Collaborate to enhance productivity when using CISL resources,
 - Suggest new research and technology directions in scientific computing,
 - Voice user concerns.
 
 #### Organization
 
-The AWSIG holds ~bi-monthly meetings during the ESDS Forum time slot. The CISL consulting group (CSG) will coordinate meetings with assistance as needed from the ESDS leadership. Meetings will consist of free format discussions, and informational presentations from CISL technical staff and NCAR/UCAR scientific staff.
+The AWSIG holds ~bi-monthly meetings during the ESDS Forum time slot. The CISL consulting group (CSG) will coordinate meetings with assistance as needed from the ESDS leadership. Meetings will consist of free format discussions, and informational presentations from CISL technical staff and NSF NCAR and UCAR scientific staff.
 
 CSG will rely on both ESDS leadership and the community to propose topics of interest, and even to present emerging tools, best practices, etc. A successful SIG will be driven by interested stakeholders, as well as from the resource providers in CISL. CSG will have items to directly contribute, but also do a lot of listening and then implementing feedback.
 
 #### Membership & Participation
 
-The AWSIG is open to all users of NCAR’s HPC resources. Representatives from CISL’s Consulting Group and relevant resource providers will be in attendance. We desire that representatives from each scientific lab attend as well.
+The AWSIG is open to all users of NSF NCAR’s HPC resources. Representatives from CISL’s Consulting Group and relevant resource providers will be in attendance. We desire that representatives from each scientific lab attend as well.
 
 ### ESDS Activities Calendar
 
@@ -72,7 +72,7 @@ Several ESDS members are prepared to answer your Python questions via 1-on-1 app
 
 If your question is about an error message you are raising in your workflow, help us help you by being ready to provide a copy of your dataset and code so we can reproduce your error. Depending on your question, we may be able to walk you through a solution or send you documentation/resources that address your question.
 
-**NOTE:** Office hours are designed for NCAR/UCAR staff.
+**NOTE:** Office hours are designed for NSF NCAR and UCAR staff.
 
 ### [Project Pythia](https://projectpythia.org/)
 

conf.py

@@ -17,9 +17,9 @@
 
 # -- Project information -----------------------------------------------------
 
-project = 'NCAR-ESDS'
-copyright = '2021, NCAR Earth System Data Science Team'
-author = 'NCAR Earth System Data Science Team'
+project = 'ESDS'
+copyright = '2024, Earth System Data Science (ESDS) Team'
+author = 'Earth System Data Science (ESDS) Team'
 
 # The full version, including alpha/beta/rc tags
 release = '0.1'