https://hackmd.io/@nicest2/day3-afternoon Present: Shuting Yang (DMI/EC-Earth), Francesca Maria Iozzi (Sigma2 - Nird & cloud), Hamish Struthers (LiU/NAISS), Anne Fouilloux (Simula Srl.), Jean Iaquinta (UiO/IT), Oskar Landgren (Met.no), Tyge Løvset (NORCE), Yanchun He (NERSC), Alok Gupta (NORCE), Prashanth Rao (LiU/NAISS), Risto Makkonen (FMI) Call will be open in December 2023 with a deadline probably in March 2024 on "FAIR and Open data sharing in support of the mission adaptation to climate change" Call information: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-infra-2024-eosc-01-01;callCode=HORIZON-INFRA-2024-EOSC-01 Funding 6 to 8 Million Euros per project Need for accessible research data across disciplines & borders

Link to the shared document https://hackmd.io/@nicest2/SyZlj6HI2 What we learned about FAIR (Link to presentation: https://docs.google.com/presentation/d/1gjobLBZxN1fdOh6F8lXn6sROq-6DDgo4VRsK-EXz7RU/edit?usp=sharing)Hackathons & workshops (M4M with GoFAIR) EDAM onthology (with Matus Kalas) The word "data" is used a lot in the DoW"Research Object" is a wider concept Lack of governance/authoritative bodyWho "decided" what metada is needed, which software is to be used, etc.? Until that is sorted out there are only local "solutions" implementedInteroperability? Roles and responsibilities? Incentivization Efforts vs. payoff?

Data What would be the benefits of open and accessible research data across disciplines and borders? Discuss in groups and write down a few bullet points from your discussion and examples/use cases that would demonstrate the usefulness of open and accessible research data across disciplines and borders Where do we stand now? Discuss and write down examples showing how it is tackled in your community What works and what does not work? Discuss and write down what you think works well (and that we could reuse in other contexts), what needs to be improve and what you think failed and should not be tried again

Datasets for “Cloud and snowfall in high latitudes” Coverage: global for all datasets. CMIP6 daily data from 2006-2009. Details for CMIP6 variables and CMIP6 models ERA5 daily mean data from 2006 to 2010: CLOUDSAT (we have downloaded the data; cannot be shared with everyone); need space for copying CLOUDSAT data to access them from C-SCALE. Datasets for "CLIVAR" CMIP6 data available in these sites: https://esgf-node.llnl.gov/status/

HackMD shared document: https://hackmd.io/@nicest2/foss4g-pangeo Thank you for joining the Pangeo 101 workshop! We’re delighted to have you here :sparkles: Code of conduct :heavy_check_mark: Take a moment to read this

# EDAM-Geo Hackathon Blog ###### tags: `EDAM-geo` `nicest2`

This document is synchronized as you type, so that everyone viewing this page sees the same text. This allows you to collaborate seamlessly on documents. Attendees are expected to follow our code of conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html All content is publicly available under the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ Logistics Information about the hackathon: https://indico.neic.no/event/221/ Location: room 317 in Geology building, University of Oslo, Sem Sælands vei 1 (map), Blindern, 0371 Oslo (Norway)

The NICEST2 hackathon on FAIR climate data took place on March 11, 16 and 17, 2021 (13:00 - 17:00 CET). It had a combination of lectures/training and more practical sessions and discussions. Reprohack was one of this practical sessions and span over the 2 hackathon days. Reprohack participants: Kirsten Borse Haraldsen, Naoe Tatara, Klaus Zimmermann, Oscar Corcho and Anne Fouilloux What is a Reprohack? A ReproHack - reproducibility hackathon - is an event where participants aim to reproduce scientific results detailed in published papers. The aim of a ReproHack is absolutely not to undermine or discredit researchers or their work but to highlight their great effort and understand how to better support researchers towards Open Science.

Take an existing paper (from Aiden, Sara or Dominic?) to analyze what is missing regarding FAIR (tools & metadata). ReproHack style analysis. Humanitarian need drives multilateral disaster aid, https://www.pnas.org/content/118/4/e2018293118 Equilibrium climate sensitivity above 5 °C plausible due to state-dependent cloud feedback, https://www.nature.com/articles/s41561-020-00649-1 (Aiden:) I will work on a reprohack style analysis of FAIRness on a study, but I guess I'll have to do that on my own CMIP6 paper: "Causes of Higher Climate Sensitivity in CMIP6 Models", https://doi.org/10.1029/2019GL085782 Bias in CMIP6 models as compared to observed regional dimming and brightening, https://acp.copernicus.org/articles/20/16023/2020/

Hamish, Joakim, Oskar, Matus, Adil, Aiden, Tyge, Abdelkader, Prashanth Develop a FAIR cookbook for climate data, workflow/DMP integration (https://fairplus.github.io/the-fair-cookbook/content/home.html). Take PhD/early career researcher as use case to develop a FAIR climate data cookbook. How in practice to integrate DMPs and researchers workflow to ensure information (metadata) is propagated and to make DMPs relevant & userful for researchers? (Tyge, Hamish, Adil, Abdelkader, Oskar, Joakim, Aiden) FAIR cookbooks Background: https://fairplus.github.io/the-fair-cookbook/content/home.html Create a starting template What platform/technology should we use for a cookbook? Jupyter book?, jupyter notebook? Github.

NICEST2 hackathon on FAIR climate data This document is synchronized as you type, so that everyone viewing this page sees the same text. This allows you to collaborate seamlessly on documents. Attendees are expected to follow our code of conduct: https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html All content is publicly available under the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ Icebreaker Write down your greatest hope for this hackathon and then your greatest fear