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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 BezuidenhoutDataSciJo2017 16.png|240px]]</div> | |||
'''"[[Journal: | '''"[[Journal:Technology transfer and true transformation: Implications for open data|Technology transfer and true transformation: Implications for open data]]"''' | ||
When considering the “openness” of data, it is unsurprising that most conversations focus on the online environment—how data is collated, moved, and recombined for multiple purposes. Nonetheless, it is important to recognize that the movements online are only part of the data lifecycle. Indeed, considering where and how data are created—namely, the research setting—are of key importance to open data initiatives. In particular, such insights offer key understandings of how and why scientists engage with in practices of openness, and how data transitions from personal control to public ownership. This paper examines research settings in low/middle-income countries (LMIC) to better understand how resource limitations influence open data buy-in. ('''[[Journal:Technology transfer and true transformation: Implications for open data|Full article...]]''')<br /> | |||
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Revision as of 15:28, 20 August 2018
"Technology transfer and true transformation: Implications for open data"
When considering the “openness” of data, it is unsurprising that most conversations focus on the online environment—how data is collated, moved, and recombined for multiple purposes. Nonetheless, it is important to recognize that the movements online are only part of the data lifecycle. Indeed, considering where and how data are created—namely, the research setting—are of key importance to open data initiatives. In particular, such insights offer key understandings of how and why scientists engage with in practices of openness, and how data transitions from personal control to public ownership. This paper examines research settings in low/middle-income countries (LMIC) to better understand how resource limitations influence open data buy-in. (Full article...)
Recently featured:
- ▪ Eleven quick tips for architecting biomedical informatics workflows with cloud computing
- ▪ Welcome to Jupyter: Improving collaboration and reproduction in psychological research by using a notebook system
- ▪ Developing a file system structure to solve healthcare big data storage and archiving problems using a distributed file system