Journal: Scientific Data

Article Title: How to establish and maintain a multimodal animal research dataset using DataLad

doi: 10.1038/s41597-023-02242-8

Figure Lengend Snippet: Green arrows: workflow for project planning, data acquisition, processing, storage; gray arrows: backup plan on local and network storages; orange arrows: integration of DataLad for version control; blue arrows: publication process using GIN as the online hosting service. Figure created with Biorender.com.

Article Snippet: A prerequisite for the following steps is an operational GIN account ( https://gin.g-node.org/user/sign_up ) with an associated ssh key pair ( http://handbook.datalad.org/en/latest/basics/101-139-gin.html ) between the GIN account and the account on the local computer.

Techniques: Control

Journal: Scientific Data

Article Title: How to establish and maintain a multimodal animal research dataset using DataLad

doi: 10.1038/s41597-023-02242-8

Figure Lengend Snippet: ( A ) YODA-directory structure and integration of DataLad. The root directory of the operating system (OS), the list of projects, and project-related content (folders + file types). The dashed and “//” separated connections indicate that there can be additional levels, e.g., the time of measurements. During the conversion of the Project1 folder into a DataLad dataset, the corresponding DataLad files, (gray boxes), are created as additional information in the folder, without affecting the rest of the data. “raw_data” folders and all folders in “code” are independent subdatasets in the context of nesting and establishing decentralization with “code” being located in Github instead of GIN. ( B ) Step-by-step guide for creating the DataLad dataset is composed of 4 mandatory subsequent stages and framed by an initial preparation phase and an optional third-party use scenario (red circles highlight recurring stages). ( C ) Folder structure based on the permit of performing animal experiments without DataLad (TVA = Tierversuchsantrag (German: animal protocol). This is the old structure before the YODA structure was implemented, all processing was also done within this structure, using the pipelines parallelly from another storage separated from this structure. The original raw data is still kept in this structure as an archive of raw data, but the rest is abolished.

Article Snippet: A prerequisite for the following steps is an operational GIN account ( https://gin.g-node.org/user/sign_up ) with an associated ssh key pair ( http://handbook.datalad.org/en/latest/basics/101-139-gin.html ) between the GIN account and the account on the local computer.

Techniques: