Researchsoftware“Goodenough”“Datascience”DatareuseCAREBigDataPersistentidentifiers(PIDs)DataethicsResearchcycleInstitutionaldatamanagementpolicyDatastoragecostsCross-institutionworkinggroupLong-termdatapreservationDatarepositoryDataservicesworkflowDatasharingInstitutionaldataretentionpolicyAsked to“do morewith less”DMSbudgetingInstitutionalrepositoryBurdenHPCPublicaccessplansIRBFunderrequirementsBudgetreductionNIHPolicyNelsonMemoDirect vs.indirectcosts“Understaffed”“Itdepends”SensitivedataPublicaccess toresearchdataWho is goingto look at thedataanyway?Reproducibility“Unfundedmandate”FAIRAIDatacurationComplianceDMSPConsultationsDatasecurityResearchdatalifecycleResearchsoftware“Goodenough”“Datascience”DatareuseCAREBigDataPersistentidentifiers(PIDs)DataethicsResearchcycleInstitutionaldatamanagementpolicyDatastoragecostsCross-institutionworkinggroupLong-termdatapreservationDatarepositoryDataservicesworkflowDatasharingInstitutionaldataretentionpolicyAsked to“do morewith less”DMSbudgetingInstitutionalrepositoryBurdenHPCPublicaccessplansIRBFunderrequirementsBudgetreductionNIHPolicyNelsonMemoDirect vs.indirectcosts“Understaffed”“Itdepends”SensitivedataPublicaccess toresearchdataWho is goingto look at thedataanyway?Reproducibility“Unfundedmandate”FAIRAIDatacurationComplianceDMSPConsultationsDatasecurityResearchdatalifecycle

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.


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