The History Data Management Lifecycle (HDML) model

The History Data Management Lifecycle (HDML) model

5. History Data Management Lifecycle (HDML)

5.8 Completion

Completion of a research project invariably leaves the researcher with the insight that if more time and resource were available, even more could have been achieved. In terms of data management, this aspect is vital to the overall process.

Any data collected and collated during the project remains valid and important after the specific research has been carried out  and the project is complete. Access to the data remains a legacy of the completed project, and often spawns new or continuing projects that build on the existing research.

Disposal and Migration

At some point the data will eventually be disposed of, or it may need to be moved from one location to another. With awareness of these issues, disposal of useable, valuable data may be avoided. Continuing monitoring of the availability and location of data will ensure its continued viability for future use. Similarly, data are often altered in format to overcome issues of obsolescence in terms of hardware or software. 

Document files maintained in an obsolete format may be reformatted to work with newer programs. During the migration various formatting issues may arise: tables may be incorrectly copied, text may be corrupted or even lost, or the document may simply be completely corrupted and unusable.

 

Example: 

”Regular checks on the viability of the data will be carried out. Bas3ed on my institution’s policies, I will verify that the data will be made available for the duration of the project, and for any agreed period after the completion of the project. During this phase, based on institutional policy, as indicated in the previous phase, backups and integrity checks will be carried out until the data is no longer required.”