Alex Ball. (2012). Review of Data Management Lifecycle Models (version 1.0). REDm-MED
Project Document redm1rep120110ab10. Bath, UK: University of Bath.

The requirements specified by the REDm-MED Project for data management plans will be assembled both from a ‘bottom-up’ elicitation process involving researchers and academics, and ‘topdown’ from funder requirements, institutional policy and known good practice. Data management lifecycle models provide a structure for considering the many operations that will need to be performed on a data record throughout its life; as such they can also act as a useful touchstone for ensuring the requirements specification has sufficient coverage of key data management operations.

1 Introduction
2 DCC Curation Lifecycle Model
3 I2S2 Idealized Scientific Research Activity Lifecycle Model
4 DDI Combined Life Cycle Model
5 ANDS Data Sharing Verbs
6 DataONE Data Lifecycle
7 UK Data Archive Data Lifecycle
8 Research360 Institutional Research Lifecycle
9 Capability Maturity Model for Scientific Data Management
10 Conclusions

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