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evaluating the quality of open access content

  1. SPARC and ACRL Annual Forum brian m. bot | sage bionetworks | @BrianMBot evaluating the quality of open access content
  2. Sage Bionetworks a non-profit organization which pilots a variety of components that are necessary to build a scientific research commons focused on a world where biomedical research will fundamentally change to be more open and collaborative supports communities of researchers working collaboratively across disciplines
  3. accessopen
  4. accessibility
  5. accessopen
  6. dataopen
  7. scienceopen
  8. science
  9. Synapse enabling large-scale collaborative science enables sharing of all digital assets (data, code, results) and their relationships to one another multi-channel communication instead of uni-directional broadcasting aides in reproducibility by enabling communication throughout the research process not only at time of publication
  10. Synapse enabling large-scale collaborative science CRC Subtyping Consortium DREAM Challenges Progenitor Cell Biology Consortium TCGA Pan-Cancer Consortium CommonMind Consortium Interactome CTDD Superheroes Project Influenza Vaccinations Craniosynostosis Psychosis Spectrum Disorder Oncology Molecular Classifiers Next Gen Scientific Publishing Open Science
  11. Synapse enabling large-scale collaborative science collaboration around common question DREAM Challenges collaboration around common data TCGA Pan-Cancer Consortium
  12. DREAM Challenges
  13. challenge assisted peer review DREAM Challenges
  14. Synapse enabling large-scale collaborative science collaboration around common question DREAM Challenges collaboration around common data TCGA Pan-Cancer Consortium
  15. Cyriac Kandoth TCGA Pan-Cancer Consortium
  16. TCGA Pan-Cancer Consortium
  17. scientific method 1. define a question 2. gather information and resources (background research) 3. form a hypothesis 8. retest (frequently done by other scientists) 4. test hypothesis experimentally 5. analyze experimental data 7. publish results 6. draw conclusions based on data
  18. finitein ∞ ...
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