What is DataLad? A three-minute teaser on how it can organize and strengthen trust in collaborative projects https://t.co/AgZ9dVHz0t

We are interviewing for our open sr. neuroinformatics data manager position!! Apply here: https://t.co/AFGL9QIvh8. Fun science + great environment, team, salary/benefits. Experience w/ @datalad is a real plus. Thx for any RTs!

DataLad 2.0 development is in full swing. Please guide this effort with your anonymous feedback via https://t.co/hI94ngoScp It helps us to ensure that DataLad still does all the things you like, less of the things you don't like, and some more awesome stuff. Thanks!

First joint meeting with a #datalad and a #gitAnnex crowd, and even more!

If you missed the Distribits 2024 meeting, you can now watch the talks on YouTube

We have started the afternoon sessions, @jbpoline is presenting nipoppy and friends.

Distribits 2024 started. Watch live: https://t.co/xScvQMIlNW

TL;DR @datalad handbook spawned a real physical book! https://t.co/GV9B4IvRL9

Two weeks left to register for the Distribits 2024 meeting https://t.co/FO6S1hguU5 #distributed #data #rdm #datalad #gitannex #openscience #foss

And here is it: https://t.co/AiObWg6niE Apr 18-20 2024 in Düsseldorf Come join! It will be awesome!

one of the best discoveries for my workflow this year was @datalad: a tool to download brain data in a crazy convenient way (if you are used to git). from finding a new dataset to procrast... exploratory analysis 😬 in a few minutes. https://t.co/kgU9GHnvoi

Feel it’s challenging to analyze a large neuroimaging dataset in a reproducible way? Check out our latest preprint of BABS! BABS is a user-friendly and generalizable Python package📦for reproducible image processing at scale. https://t.co/2URY6Ijpg9 🧵 1/n

We now have a record in the @helmholtz_de Software Directory: https://t.co/J5CDfQb0PX This is a great place to get a quick overview on how people use DataLad, and what resources are available. If you find something missing, or have a testimonial, please drop us a note! Thanks

We will post a call for contributions soon. Stay tuned!

We already know a few more things: - we are aiming for a (hybrid) meeting - we will invite contributions on research data management, but also non-research application topics - we will have a dedicated component on DataLad/git-annex development, including a hackathon day

Thanks to the 60+ people who, over the last week, expressed their interest in a first conference on decentralized data management, DataLad, and git-annex! The meeting will take place April 18-20 next year in Düsseldorf, Germany!

@datalad @DANDIarchive will be there for sure! ;-) Meanwhile, everyone can enjoy DataLad datasets for all the dandisets in the DANDI archive: https://t.co/KbMpTo3zbO . It will be great to share solutions and ideas around decentralized version control of scientific data at the event!

We started planning a first meeting for everyone interested in DataLad and git-annex in the first half of 2024! If you find that as exhilarating as we do, head over to https://t.co/7RjLHyWtnl and help us shape the event. Exciting!!

The more data, the better, but how to keep track? Our solution for easy and versatile research #FAIRdata management: storage, processing, versioning, and sharing using @datalad and GIN @gnode. @ScientificData https://t.co/2BPSz9fssz 1/2

📢Call to present at INCF Neuroinformatics Assembly 2023!📢 Want to speak in our investigator-led talks on FAIR neuroscience? We're calling for abstracts! 🧠 📅 Abstract deadline: Jun 23 Submit your abstract today: https://t.co/XD7BUmfQc9 #FAIR #neuroscience #OpenScience

@TimJHendrickson @PlisSergey We do! We are planning an open repository leveraging @OpenNeuroOrg BrainBox and @datalad so that the community can also provide their own updates/comments and parcellations as well. We are in the process of reviews and will start posting once reviews have been completed