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.