“Datascience”DataservicesworkflowDatasecurityPublicaccessplansPublicaccess toresearchdataDMSbudgeting“Goodenough”“Unfundedmandate”InstitutionaldatamanagementpolicyBurdenCAREBudgetreduction“Itdepends”DataethicsIRBHPCNIHPolicyComplianceLong-termdatapreservationResearchcycleWho is goingto look at thedataanyway?“Understaffed”DatarepositoryCross-institutionworkinggroupDMSPConsultationsResearchsoftwareInstitutionaldataretentionpolicySensitivedataFunderrequirementsReproducibilityBigDataFAIRInstitutionalrepositoryDatasharingDatacurationDatareuseResearchdatalifecycleAIPersistentidentifiers(PIDs)DatastoragecostsAsked to“do morewith less”Direct vs.indirectcostsNelsonMemo“Datascience”DataservicesworkflowDatasecurityPublicaccessplansPublicaccess toresearchdataDMSbudgeting“Goodenough”“Unfundedmandate”InstitutionaldatamanagementpolicyBurdenCAREBudgetreduction“Itdepends”DataethicsIRBHPCNIHPolicyComplianceLong-termdatapreservationResearchcycleWho is goingto look at thedataanyway?“Understaffed”DatarepositoryCross-institutionworkinggroupDMSPConsultationsResearchsoftwareInstitutionaldataretentionpolicySensitivedataFunderrequirementsReproducibilityBigDataFAIRInstitutionalrepositoryDatasharingDatacurationDatareuseResearchdatalifecycleAIPersistentidentifiers(PIDs)DatastoragecostsAsked to“do morewith less”Direct vs.indirectcostsNelsonMemo

RADS 2 Kick Off Bingo! - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. “Data science”
  2. Data services workflow
  3. Data security
  4. Public access plans
  5. Public access to research data
  6. DMS budgeting
  7. “Good enough”
  8. “Unfunded mandate”
  9. Institutional data management policy
  10. Burden
  11. CARE
  12. Budget reduction
  13. “It depends”
  14. Data ethics
  15. IRB
  16. HPC
  17. NIH Policy
  18. Compliance
  19. Long-term data preservation
  20. Research cycle
  21. Who is going to look at the data anyway?
  22. “Understaffed”
  23. Data repository
  24. Cross-institution working group
  25. DMSP Consultations
  26. Research software
  27. Institutional data retention policy
  28. Sensitive data
  29. Funder requirements
  30. Reproducibility
  31. Big Data
  32. FAIR
  33. Institutional repository
  34. Data sharing
  35. Data curation
  36. Data reuse
  37. Research data lifecycle
  38. AI
  39. Persistent identifiers (PIDs)
  40. Data storage costs
  41. Asked to “do more with less”
  42. Direct vs. indirect costs
  43. Nelson Memo