Active Data: Supporting the Grid Data Life Cycle

2007 ◽  
Author(s):  
Tim Ho ◽  
David Abramson
Keyword(s):  
Life Cycle ◽  
Grid Data ◽  
Data Life Cycle ◽  
Active Data

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.

scholarly journals Research data management and services: Resources for novice data librarians

2017 ◽  
Vol 78 (5) ◽  
pp. 274 ◽  
Author(s):  
Sarah Barbrow ◽  
Denise Brush ◽  
Julie Goldman
Keyword(s):  
Life Cycle ◽  
Data Management ◽  
Academic Libraries ◽  
Research Data ◽  
Research Data Management ◽  
Academic Fields ◽  
Data Life Cycle ◽  
Management Plans ◽  
Share Data

Research in many academic fields today generates large amounts of data. These data not only must be processed and analyzed by the researchers, but also managed throughout the data life cycle. Recently, some academic libraries have begun to offer research data management (RDM) services to their communities. Often, this service starts with helping faculty write data management plans, now required by many federal granting agencies. Libraries with more developed services may work with researchers as they decide how to archive and share data once the grant work is complete.

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