scholarly journals Completing the data life cycle: using information management in macrosystems ecology research

2014 ◽  
Vol 12 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Janine Rüegg ◽  
Corinna Gries ◽  
Ben Bond-Lamberty ◽  
Gabriel J Bowen ◽  
Benjamin S Felzer ◽  
...  
Keyword(s):  
Life Cycle ◽  
Information Management ◽  
Data Life Cycle ◽  
Macrosystems Ecology

scholarly journals Deconstructing the data life-cycle in digital humanitarianism

2018 ◽  
Vol 23 (4) ◽  
pp. 555-571 ◽  
Author(s):  
Silke Roth ◽  
Markus Luczak-Roesch
Keyword(s):  
Life Cycle ◽  
Data Life Cycle

Hustling for Funding

2021 ◽  
pp. 85-94
Author(s):  
Rob Kitchin
Keyword(s):  
Life Cycle ◽  
Open Data ◽  
Digital Repository ◽  
Funding Mechanism ◽  
Institutional Politics ◽  
Full Circle ◽  
Data Life Cycle ◽  
Funding Issue ◽  
Funding Opportunity

This chapter focuses on the role of finance and the politics of collaboration, charting the development of the Digital Repository of Ireland (DRI). DRI have been beset with institutional politics concerning its framing, development, and operation. The future funding issue was just the latest example in a long list of fraught exchanges that could be traced back to its original conception and funding mechanism. The DRI was born out of a funding opportunity, but seemed destined to die due to a funding failure. Without a political solution, the data life cycle would turn full circle much more quickly than initially anticipated. Unless there is a means of covering the costs for labour, equipment and other essential inputs, data are not generated or stored, and thus cannot be used or shared. Even in open data projects, the data might be free to use but they were not free to create, or to process and host.

LIMS Deployment in an Assay Service Environment

2012 ◽  
Vol 14 (3) ◽  
pp. 14-34
Author(s):  
Roger Clark ◽  
Jonathan Wingfield
Keyword(s):  
Life Cycle ◽  
Information Management ◽  
Domain Knowledge ◽  
System Development ◽  
Initial System ◽  
Biochemical Screening ◽  
Service Environment ◽  
Research Areas ◽  
Use Of Resources ◽  
Development Life Cycle

In 2006 AstraZeneca (AZ) executed a strategy to centralise all biochemical screening activities within one of its Research Areas, into a single team. This team had the remit to deliver data faster and more consistently, whilst reducing the FTE’s deployed against such activities. Keeping the team small, AZ hoped to facilitate more flexible use of resources, remaining agile enough to respond to changing business demands; however this centralised approach brought with it a fresh set of challenges, not least of which was information management. This review describes a successful LIMS implementation within AZ (who deployed a customised COTS solution in just four months). It outlines the steps taken over the initial system development life cycle and highlights the requirement for dedicated in-house resource (with intimate domain knowledge) coupled with experienced vendor personnel. It goes on to explore the requirement for continued evolution of the system and the challenges this posed.

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