scholarly journals Science Capsule - Capturing the Data Life Cycle

2021 ◽  
Vol 6 (62) ◽  
pp. 2484
Author(s):  
Devarshi Ghoshal ◽  
Ludovico Bianchi ◽  
Abdelilah Essiari ◽  
Michael Beach ◽  
Drew Paine ◽  
...  
Keyword(s):  
2018 ◽  
Vol 23 (4) ◽  
pp. 555-571 ◽  
Author(s):  
Silke Roth ◽  
Markus Luczak-Roesch
Keyword(s):  

2021 ◽  
pp. 85-94
Author(s):  
Rob Kitchin

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.


2017 ◽  
Vol 78 (5) ◽  
pp. 274 ◽  
Author(s):  
Sarah Barbrow ◽  
Denise Brush ◽  
Julie Goldman

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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