Thing 3: Data in the research lifecycle
Data and its management change over time. Here we look at data and research lifecycles and make connections between them.
- Getting started: follow the pink circles around the data lifecycle
- Learn more: how would you modify a Lifecycle model for your institution?
- Challenge me: share the current emerging opportunities for institutions to integrate management systems for your research data assets
Thing 3: Data in the research lifecycle
Getting Started: The lifecycle of research data
Research Lifecycle Models provide a high-level overview of the stages and actions during the research lifecycle required for successful management of data. A data lifecycle shows the different phases a dataset goes through as the research project moves from "having a brilliant idea" to "making ground breaking discoveries" to "telling the world about it".
Watch the short video on the UK Data Archive Research Data Lifecycle
Consider: What other things impact how data is managed through the lifecycle? For example, this could be funding policies which make sharing the data mandatory, or data which is part of an ongoing longitudinal study.
Do you have a question? Want to share a resource?
- Post to the Data Librarians Google Group to connect with the community.
- Tweet to @ands_nectar_rds
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Thing 3: Data in the research lifecycle
Learn More: Managing data through the lifecycle
Data often have a longer lifespan than the research project that creates them. Follow-up projects may analyse or add to the data, and data may be reused by other researchers. Journals publishers are increasingly mandating that the data underpinning a journal article be retained and made accessible for the long term. Data needs to managed carefully to ensure long-term preservation.
- Take a look at the DCC Curation Lifecycle Model which concentrates of preservation and curation within data management.
Consider: a modification or addition you would include to make this model contextualised to your situation.
Do you have a question? Want to share a resource?
- Post to the Data Librarians Google Group to connect with the community.
- Tweet to @ands_nectar_rds
Completion of Thing 3 means you've earned a digital badge!
Go to Thing 4 Data discovery or All Things
Thing 3: Data in the research lifecycle
Challenge me: Research data management in practice
Data management is likely to be most effective where it is integrated into existing system-wide research and administrative processes. New software and products are being developed particularly with this in mind.
- Skim through this ANDS Guide Research Data Management in Practice
- Look carefully at Figure 1 Key Steps in Research Data Management, Section 3.
Consider: your experience about the current emerging opportunities for institutions to integrate management systems for their research data assets.
Do you have a question? Want to share a resource?
- Post to the Data Librarians Google Group to connect with the community.
- Tweet to @ands_nectar_rds
Completion of Thing 3 means you've earned a digital badge!
Go to Thing 4 Data discovery or All Things