Data FAIR Working Session: FAIR Workflows-​​ Best practices, services, and tools for helping researchers increase the portability and reproducibility of their work.

Shelley Stall; Chris Erdmann; Christine Kirkpatrick; Carole Goble; Rafael Ferreira da Silva; Ziheng Sun; Kathryn Knight

Data FAIR Working Session: FAIR Workflows- Best practices, services, and tools for helping researchers increase the portability and reproducibility of their work.

Shelley Stall, Chris Erdmann, Christine Kirkpatrick, Carole Goble, Rafael Ferreira da Silva, Ziheng Sun, Kathryn Knight

Data Lifecycle Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	AGU Fall Meeting 2021
State	Published - 2021

Cite this

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title = "Data FAIR Working Session: FAIR Workflows- Best practices, services, and tools for helping researchers increase the portability and reproducibility of their work.",

author = "Shelley Stall and Chris Erdmann and Christine Kirkpatrick and Carole Goble and {da Silva}, {Rafael Ferreira} and Ziheng Sun and Kathryn Knight",

year = "2021",

language = "English",

booktitle = "AGU Fall Meeting 2021",

}

TY - GEN

T1 - Data FAIR Working Session: FAIR Workflows- Best practices, services, and tools for helping researchers increase the portability and reproducibility of their work.

AU - Stall, Shelley

AU - Erdmann, Chris

AU - Kirkpatrick, Christine

AU - Goble, Carole

AU - da Silva, Rafael Ferreira

AU - Sun, Ziheng

AU - Knight, Kathryn

PY - 2021

Y1 - 2021

M3 - Conference contribution

BT - AGU Fall Meeting 2021

ER -

Data FAIR Working Session: FAIR Workflows-​​ Best practices, services, and tools for helping researchers increase the portability and reproducibility of their work.

Cite this

Data FAIR Working Session: FAIR Workflows- Best practices, services, and tools for helping researchers increase the portability and reproducibility of their work.