2016
The FAIR Guiding Principles for scientific data management and stewardship
Abstract: There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scho…
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“…Our results demonstrate an enrichment of immune response-related terms in female lung adenocarcinoma patients, which agrees with the findings of Araujo et al [20] . The analyzed functions suggest the positive regulation of CD8+ alpha-beta T cell activation and differentiation in female lung adenocarcinoma patients, which play an essential role in antitumor immunity [39,40]. Furthermore, Ye et al [40] discovered a more abundant population of effector memory CD8+ T cells in female lung adenocarcinoma patients, which agrees with our results.…”
Section: Discussionsupporting
confidence: 90%
“…Our results demonstrate an enrichment of immune response-related terms in female lung adenocarcinoma patients, which agrees with the findings of Araujo et al [20] . The analyzed functions suggest the positive regulation of CD8+ alpha-beta T cell activation and differentiation in female lung adenocarcinoma patients, which play an essential role in antitumor immunity [39,40]. Furthermore, Ye et al [40] discovered a more abundant population of effector memory CD8+ T cells in female lung adenocarcinoma patients, which agrees with our results.…”
Section: Discussionsupporting
confidence: 90%
“…The data set includes the relevant data to adequately describe the battery test, allowing to repeat the test under the exact same conditions such that the same results are received within defined error bounds. This is in line with the general F. A. I. R. data approach [13] and provides repeatability and traceability in the battery value chain.…”
Section: Discussionsupporting
confidence: 81%
“…The fact that performance expectancy was found to affect behavioral intention is aligned with the existing knowledge of EDMS. Understanding of specific benefits associated with the system seems to be the most important driver of EDMS adoption, which is aligned with the literature review's findings (Abbasi et al, 2016;Lee et al, 2018;McLeod et al, 2011;Mosweu et al, 2016;Tagbotor et al, 2015;Wilkinson et al, 2016). This finding was confirmed in the study with the help of the regression analysis, as the variable of performance expectancy was linked to variation in behavioral intentions related to system use.…”
Section: Discussion Performance Expectancysupporting
confidence: 80%
