Data Standards and Sharing Working Group
The IBI Data Standards and Sharing Working Group aims to facilitate discovery, harmonization and use of data across IBI participants and other global research initiatives, international neuroscience-relevant societies, and neuroscience researchers through the following:
- implementing mechanisms for searching across datasets
- assuring data interoperability
- developing data federation strategies
- understanding data governance policies of different initiatives
- promoting clear data governance policies to facilitate international collaborations
- establishing training programs on data standards and best practices
Working Group Members
- Franco Pestilli, The University of Texas at Austin, US (Lead)
- Kenji Doya, Japan Brain/MINDS / OIST, Japan (Co-Lead)
- Anthony Hannan, Australian Brain Alliance / Florey Institute of Neuroscience and Mental Health, Australia (Co-Lead)
- Maryann Martone, INCF / University of California San Diego, US
- Mathew Abrams, INCF, Sweden
- Nargis Akter, Japan Brain/MINDS Beyond / National Institute for Physiological Sciences, Japan (secretariat)
- Stephanie Albin, The Kavli Foundation, US
- Amy Bernard, Allen Institute, US (observer)
- Jan Bjaalie, EU Human Brain Project / University of Oslo, Norway
- Luonan Chen, China Brain Initiative / Chinese Academy of Science, China
- Jung Kyoon Choi, Korea Brain Initiative / KAIST, South Korea
- Sharon Crook, Arizona State University, US
- Damian Okaibedi Eke, EU Human Brain Project / De Montfort University, UK
- Greg Farber, US BRAIN Initiative / NIH, US
- Jack Gallant, University of California Berkeley, US
- Tristan Glatard, Canadian Brain Research Strategy / Concordia University, Canada
- Takashi Hanakawa, Japan Brain/MINDS Beyond / Kyoto University, Japan
- Michael Hawrylycz, Allen Institute, US
- Sin-Kuen Hawkins, IEEE, US
- Sean Hill, Canadian Brain Research Strategy / CAMH, Canada
- Sungjin Jeong, Korea Brain Initiative / KBRI, South Korea
- Yaohui Jin, China Brain Initiative / Shanghai Jiao Tong University, China
- Tom Johnstone, Australian Brain Alliance / Swinburne University, Australia
- Tina Kokan, EU Human Brain Project / Medical University of Innsbruck, Austria
- Masao Matsuhashi, Kyoto University, Japan
- Megumi Maruyama, Japan Brain/MINDS Beyond / National Institute for Physiological Sciences, Japan (secretariat)
- Oliver Ruebel, Lawrence Berkeley National Lab, US
- Paul Sajda, IEEE / Columbia University, US
- Keiji Tanaka, Japan Brain/MINDS / RIKEN, Japan
- Edda Floh Thiels, US BRAIN Initiative / NSF, US
- Hiroaki Wagatsuma, Kyushu Institute of Technology, Japan
- Cynthia Weber, IEE, US
- Alexander Woodward, RIKEN, Japan
- Yi Zeng, China Brain Initiative / Chinese Academy of Science, China
Working Group Activities:
At the Roundtable in January 2020 and the first WG meeting in February 2020, the following three initial goals were selected:
- To publish a white paper proposing the best practices in data governance and pointing to any needs for international alignment.
- To collect information about what kinds of data initiatives have collected and to clarify the measures for interoperability.
- To collect information about ongoing efforts and to identify unmet needs in training to facilitate data sharing and usage.
Working Group Meetings:
- January 12-13, 2020: IBI Data Standards and Sharing Roundtable (Tokyo)
- February 22, 2020 (online)
- April 24, 2020 (online)
- June 24, 2020 (online)
- August 20, 2020 (online)
- October 9, 2020 (online)
- December 16, 2020 (online)
- February 19, 2021 (online)
- April 23, 2021 (online): a public event on data sharing in neuroscience
- April 29, 2021 (online): an extended meeting of the WG
- June 22, 2021 (online)
- September 2, 2021 (online)
- November 23, 2021 (online)
- February 25, 2022 (online)
- May 18, 2022 (online)
- September 19, 2022 (online)
- November 14, 2022 (on-site): an open symposium (Satellite event, SfN Neuroscience 2022)
- November 15, 2022 (on-site with limited online access): an invitation-only meeting with the IBI Funders Collective (Satellite event, SfN Neuroscience 2022)