Speaker
Description
Abstract: Data lifecycle management poses significant challenges, particularly in academic and research environments where data accumulation is rapid and perpetual. This presentation delves into the complexities surrounding data retention and abandonment, highlighting the prevalent issues of data hoarding and the lack of structured deletion policies. Specifically, it addresses the dilemma wherein users, especially researchers, find little incentive to delete data, leading to a cluttered and often inaccessible data landscape. Furthermore, the departure of users from institutions like Indiana University (IU) exacerbates the problem, as data may be left behind with no clear ownership or accessibility.
Indiana University is tackling these issues gradually. We'll discuss our efforts to address data management and abandonment through:
New usage constraints: Instituting new quotas with tiered growth guidelines.
Simplified Archiving and Movement: Providing user-friendly tools to archive and migrate data to appropriate storage tiers.
Data Management Education: Empowering researchers with best practices for data stewardship.
Insuring allocation value: Requiring annual renewal of desired resources.
The "Digital Will" Concept: Developing a system where departing users can designate data inheritors and define deletion policies.
By examining the successes and pitfalls of these initiatives, this presentation provides valuable insights into effective data lifecycle management strategies. It underscores the importance of fostering a culture of responsible data stewardship while leveraging technological innovations to facilitate seamless data management throughout its lifecycle.
| Timeslot | 45 min |
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