To facilitate the use of NEON data and infrastructure, we are opening a call for providing a two-day Explore NEON workshop at host institutions (workshops located in close proximity to a NEON site can include an optional 3rd day NEON site visit). This workshop would introduce researchers to NEON, teach them how to access and work with NEON data, and allow them to interact with NEON science staff. The workshop will include hands-on, interactive instruction on how to access and work with NEON data, both through the NEON data portal and programmatically via the API.
We expect the workshops to include 25-50 participants. Audience size outside of this range is possible but justification should be given for the size.
The intended audience is those who are interested in using NEON data for research or education. As the workshop is an introduction to NEON data along with accessing and working with NEON data, the workshop is best suited to those who do not have extensive experience with NEON data. This can include undergraduates conducting research, graduate students, post-docs, research staff, and faculty. Hosts can choose to limit the audience as works best for their institution. We encourage collaborative applications from multiple, geographically clustered institutions that can host a single workshop together.
We recommend that all participants have some coding experience. The complexity of NEON data formats makes it difficult to work with exclusively in a spreadsheet format. All coding instruction will be conducted in R. Advanced R skills are not necessary, however, introduction to coding in R will not be provided by the NEON instructors. Participants using other programming languages are welcome to attend, however, instruction and assistance in the language may not be available.
All travel and personnel costs for the NEON staff (2) leading the workshop will be covered by the NEON project. The hosts are responsible for any other costs associated with the workshop, including but not limited to costs associated with the location, participant transportation or meals, recruitment/advertising or other costs associated with organizing the workshop.
This is a basic schedule for the workshop. The exact schedule can be modified according to the needs of the hosts and participants. Past Explore NEON workshops can be reviewed on the Workshops page.
|8:45||Welcome & Introductions|
|9:30||Accessing NEON Data and Information|
|10:30||Understanding NEON Data|
|11:15||Reproducible Workflows & Open Science|
|13:00||Use the neonUtilities Package to Access NEON Data|
|15:15||Working with NEON Data of Interest - initial time to work with data of individual interest|
|15:45||(optional) NEON API tutorial|
|17:00||End of Day|
|8:30||Working with NEON Geospatial Data|
|11:00||NEON Data Processing & Data QA/QC|
|13:00||NEON Data Activities (variety to choose from)|
|14:15||NEON Data Activities cont.|
|16:30||Workshop Wrap up & Evaluation|
NEON Field Site tour – If there is a nearby NEON field site, a tour of the site can be combined with the Explore NEON workshop.
How to Apply
Applications are now closed for 2020.
You will need to provide the following information:
- Names and contact information for the workshop host(s)
- Description of who would attend and the expected size of the audience.
- Brief description of why you want to host this workshop.
- Possible dates when the workshop could occur, from May to December 2020 (e.g., late Spring semester 2020; wide date ranges are preferred with exact dates being worked out between the hosts and NEON instructors upon selection).
- Brief description of existing work with NEON (e.g., are any faculty or researchers currently conducting research using NEON data; are NEON data used in any classrooms).
Initial review of applications will occur on 17 December 2019. Notification will occur by 30 December 2019.
NEON anticipates supporting three Explore NEON workshops in 2020. Selection will occur based on the following criteria:
- Critical mass of interested participants
- Diversity of subdisciplines represented among interested participants
- Plan to include participants traditionally under represented in the ecological and data sciences.
Questions can be sent to email@example.com.