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ready Minimum Information About a Spinal Cord Injury experiment

Abbreviation: MIASCI

General Information
Standards for “Minimum Information about a Animal Spinal Cord Injury Experiment” (MIASCI) facilitates bioinformatic efforts and allow investigators to more accurately replicate and extend studies.

How to cite this record MIASCI; Minimum Information About a Spinal Cord Injury experiment; DOI:; Last edited: Jan. 8, 2019, 1:27 p.m.; Last accessed: Jan 19 2022 10:30 p.m.

This record is maintained by vlemmon1951  ORCID

Record updated: March 28, 2017, 12:16 p.m. by vlemmon1951.

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Minimum Information About a Spinal Cord Injury Experiment (MIASCI) - a proposed reporting standard for spinal cord injury experiments.

Lemmon VP, Ferguson AR, Popovich PG, Xu XM, Snow DM, Igarashi M, Beattie CE, Bixby JL, Abeyruwan SW, Beattie MS, Bethea J, Bradke F, Bresnahan JC, Bunge MB, Callahan A, David S, Dunlop SA, Fawcett J, Fehlings M, Fischer I, Giger RJ, Goshima Y, Grimpe B, Hagg T, Hall ED, Harrison BJ, Harvey AR, He C, He Z, Hirata T, Hoke A, Hulsebosch CE, Hurtado A, Jain A, Kadoya K, Kamiguchi H, Kengaku M, Kocsis JD Ph D, Kwon BK, Lee JK, Liebl DJ PhD, Liu SJ, Lowery LA, Mandrekar-Colucci S, Martin JH, Mason CA, McTigue DM, Mokarram N, Moon LD, Muller HW, Nakamura T, Namba T, Nishibe M, Oinuma I, Oudega M, Pleasure DE, Raisman G, Rasband MN, Reier PJ, Santiago-Medina M, Schwab JM, Schwab ME, Shinmyo Y, Silver J, Smith GM, So KF, Sofroniew MV Md PhD, Strittmatter SM, Tuszynski MH, Twiss JL, Visser U, Watkins TA, Wu W, Yoon SO, Yuzaki M, Zheng B, Zhou F, Zou Y.
Journal of Neurotrauma 2014

View Paper (PubMed) View Publication

RegenBase: a knowledge base of spinal cord injury biology for translational research.

Callahan A, Abeyruwan SW, Al-Ali H, Sakurai K, Ferguson AR, Popovich PG, Shah NH, Visser U, Bixby JL, Lemmon VP.
Database (Oxford) 2016

View Paper (PubMed) View Publication

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Related Databases (2)
RegenBase is a knowledge base of SCI biology. RegenBase integrates curated literature-sourced facts and experimental details from publications, raw assay data profiling the effect of compounds on enzyme activity and cell growth, and structured SCI domain knowledge in the form of the first ontology for SCI, using Semantic Web representation languages and frameworks. RegenBase enables researchers to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies.

Open Data Commons for Spinal Cord Injury
The Open Data Commons for Spinal Cord Injury is a cloud-based community-driven repository to store, share, and publish spinal cord injury research data. There are several challenges for scientific reproducibility and bench-to-bedside translation. For example, only research and data that are published actually get disseminated, a phenomenon known as publication bias. Published research reflects to only a small fraction of all data collected, and data that do not lead to publication are largely ignored, hidden away in filing cabinets and hard drives. This results in an abundance of inaccessible scientific data known as “dark data”. Even when research is disseminated, it is usually in the form of summary reports of aggregated data (e.g. averages across individual subjects) such as scientific articles. The fact that the individual subject-level data are inaccessible further contributes to dark data. The spinal cord injury (SCI) community created the ODC-SCI to mitigate dark data in SCI research. The ODC-SCI also aims to increase transparency with individual-level data, enhance collaboration, facilitate advanced analytics, and conform to increasing mandates by funders and publishers to make data accessible. Members of the ODC-SCI have access to a private digital lab space managed by the PI or multi-PIs for dataset storage and sharing. The PIs can share their labs’ datasets with the registered members of the ODC-SCI community and make their datasets public and citable. The ODC-SCI implements stewardship principles that scientific data be made FAIR (Findable, Accessible, Interoperable and Reusable) and has been widely adopted by the international SCI research community.

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