Publicaccess toresearchdataIRBDMSbudgetingDatasecurityFunderrequirementsReproducibilityDataethicsWho is goingto look at thedataanyway?“Itdepends”DatacurationCross-institutionworkinggroupBurdenDatarepositoryDatareuseAsked to“do morewith less”ComplianceBigDataResearchsoftwareLong-termdatapreservationInstitutionaldataretentionpolicyDatastoragecostsSensitivedataInstitutionaldatamanagementpolicy“Goodenough”HPCAI“Understaffed”Publicaccessplans“Unfundedmandate”ResearchdatalifecycleFAIR“Datascience”NIHPolicyDatasharingBudgetreductionPersistentidentifiers(PIDs)CARENelsonMemoDirect vs.indirectcostsDataservicesworkflowInstitutionalrepositoryDMSPConsultationsResearchcyclePublicaccess toresearchdataIRBDMSbudgetingDatasecurityFunderrequirementsReproducibilityDataethicsWho is goingto look at thedataanyway?“Itdepends”DatacurationCross-institutionworkinggroupBurdenDatarepositoryDatareuseAsked to“do morewith less”ComplianceBigDataResearchsoftwareLong-termdatapreservationInstitutionaldataretentionpolicyDatastoragecostsSensitivedataInstitutionaldatamanagementpolicy“Goodenough”HPCAI“Understaffed”Publicaccessplans“Unfundedmandate”ResearchdatalifecycleFAIR“Datascience”NIHPolicyDatasharingBudgetreductionPersistentidentifiers(PIDs)CARENelsonMemoDirect vs.indirectcostsDataservicesworkflowInstitutionalrepositoryDMSPConsultationsResearchcycle

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