Data Lifecycle

Definition

The data lifecycle represents all of the stages of data throughout its life from its creation for a study to its distribution and reuse. The data lifecycle begins with a researcher(s) developing a concept for a study; once a study concept is developed, data is then collected for that study. After data is collected, it is processed for distribution so that it can be archived and used by other researchers at a later date. Once data reaches the distribution stage of the lifecycle, it is stored in a location (i.e. repository, registry) where it can then be discovered by other researchers. Data discovery leads to the repurposing of data, which creates a continual loop back to the data processing stage where the repurposed data is archived and distributed for discovery.Data Lifecycle from The DDI Alliance Structural Reform Group

Further Resources

Borgman CL, Wallis JC, Enyedy N. (2007).  Little science confronts the data deluge: habitat ecology, embedded sensor networks, and digital libraries(link is external). International Journal of Digital Libraries, 7:17–30.

Goben A, Raszewski R. (2015). The data life cycle applied to our own data(link is external). Journal of the Medical Library Association, 103(1), 40–44. doi.org/10.3163/1536-5050.103.1.008

Group DSR. (2004). Overview of the DDI Version 3 .0(link is external) Conceptual Model.

Higgins S. (2012). The lifecycle of data management. Managing Research Data. London: Facet Publishing.

Mistry H, Guss S, & Rutkowski A. (2013). Shared Vision for Data Life-Cycle: Targeting Graduate Students(link is external). Research Data Symposium.

Pouchard L. (2015). Revisiting the Data Lifecycle with Big Data Curation(link is external). International Journal of Digital Curation, 10(2). doi.org/10.2218/ijdc.v10i2.342

Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, Read E, et al. (2011). Data sharing by scientists: practices and perceptions(link is external). PloS one, 6(6):e21101.

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