We have a lot to celebrate at the end of 2024. Not only is it the holiday season for many of you, but we have also closed the year with some achievements. The next issue of openwashdata news is scheduled for the beginning of February. We are wishing you all happy holidays.
We published seven additional datasets in the past two months, closing the year with 26. Learn more about our new datasets on their dedicated websites:
watercostaccra - https://openwashdata.github.io/watercostaccra:
Household water costs and coping strategies data from metropolitan
Accrabreathablepitlat -
https://openwashdata.github.io/breathablepitlat: Dataset about
experiments of field application of breathable laminate-lined pit
latrinescholeramalawi - https://openwashdata.github.io/choleramalawi:
Tracks the progress of Cholera epidemic in Malawi (2022-23)unhcrwash - https://openwashdata.github.io/unhcrwash: WASH Data
From Refugee Camps and Settlements (UNHCR)worldhdi - https://openwashdata.github.io/worldhdi: Human
Development Index Worldwide 1990-2022 (2024)wsabrazil - https://openwashdata.github.io/wsabrazil: Wastewater
management and household infrastructure in Brazilfslogisticskampala -
https://openwashdata.github.io/fslogisticskampala: Data on faecal
sludge transporting logistics in Kampala, Ugandawashr R packageOver the past two years, we have invested much time into publishing data
as R data packages. We started with 100s of bullet points to document
every step to reach the final product, the curated website for each data
package. With washr our goal is to automate this process, streamline
templates, and significantly reduce the time it takes to publish a
dataset. Our first release does precisely that. We are proud that it is
available through the official Comprehensive R Archive Network (CRAN),
so that it can installed with the command: install.packages("washr").
In the next step of development, we will adapt the package to apply to a
context outside of openwashdata so that it can be used by anyone wanting
to publish a dataset using R data packages.
washr Package website: https://openwashdata.github.io/washr:
Package websiteOn 28th November 2024, we hosted our second hackathon. Instead of developing R data packages, we asked participants to use our data and prepare a data story. We were impressed by the creativity and the variety of presented stories.
Learn more about the winning contributions in our blog post: https://openwashdata.org/pages/blog/posts/2024-12-09-hackathon/
We have been awarded the National Open Research Data Prize 2024 by the Swiss Academies of Arts and Sciences for our work on openwashdata. The prize recognizes Swiss researchers at all career levels for innovative practices in open research data. This year's call targeted projects that emphasize collaborative and/or interdisciplinary reuse of research data and/or implement educational or outreach activities related to research data reuse. Learn more: https://mavt.ethz.ch/news-and-events/d-mavt-news/2024/12/nationaler-preis-fuer-offene-forschungsdaten.html
Our contributor of the month is Laís Freitas Moreira dos
Santos
for her work on wastewater management and household infrastructure in
Brazil. Laís has published the wsabrazil dataset after she
participated in our "data science for openwashdata" course in 2023.
Thank you for working with us!
We believe the openwashdata project prospers when we have YOU work together and promote open science and data practice! No matter what background you are from, we come up with some ways for you to get involved: