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This is the easiest way to share datasets and all their contents. You can publish your dataset to a repository with annex support such as gin or the Open Science Framework (OSF) 1. There are several ways to make datasets available for others: How can I help others get started with a shared dataset?. For this, you can use a ready-made textīlock that the handbook provides. If you plan to share your own datasets with people that are unfamiliar withĭataLad, it may be helpful to give a short explanation of what a DataLadĭataset is and what it can do. There can never be “too much” documentation Your own walk-through, please get in touch. If you want a walk-through for a different service, or if you maybe even want to share Section Built-in data export shows built-in dataset export to services such as Git LFS for sharing dataset content on GitHub, and the The section Walk-through: Git LFS as a special remote on GitHub talks about using the centralized, for-pay service Publicly or with selected others via different cloud services. The sections Walk-through: Amazon S3 as a special remote and Walk-through: Dropbox as a special remote are concrete examples of sharing datasets
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The section Publishing datasets to Git repository hosting demonstrates how to publish datasets to any Other sections in this chapter will showcase a variety of ways to publish datasetsĪnd their contents to different services: If you don’t want to dive in to all the details on dataset sharing, it is safe toĭirectly skip ahead to this section, and have your dataset published in only a few minutes. The upcoming section Walk-through: Dataset hosting on GIN shows you one of the most easy ways to publish yourĭataset publicly or for selected collaborators and friends. Which annexed file contents can be retrieved via datalad get. Illustrates the idea of using third party services as special remotes from The remainder of this section talks about general aspects of dataset publishing, and This chapter tackles different aspects of dataset publishing. The Open Science Framework (OSF), and many others). Services (for example GitHub, GitLab, or Gin)Īnd/or third party storage providers (such as Dropbox, When this happens, you will want to publish your dataset to repository hosting Users on a common, shared computational infrastructure such as an SSH serverĬan share datasets via simple installations with paths, without any involvement of third party storage providers or repository hosting services:īut at some point in a dataset’s life, you may want to share it with people thatĬan’t access the computer or server your dataset lives on, store it on other infrastructure
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8.1 An overview of all elements potentially included in a publication workflow. Data sharing potentially involves a number of different elements:įig.