The FAIR Guiding Principles for scientific data management and stewardship

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 scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community

Parallel computing in information retrieval - An updated review

The progress of parallel computing in Information Retrieval (IR) is reviewed. In particular we stress the importance of the motivation in using parallel computing for Text Retrieval. We analyse parallel IR systems using a classification due to Rasmussen [1] and describe some parallel IR systems. We give a description of the retrieval models used in parallel Information Processing.. We describe areas of research which we believe are needed

Baseline and on treatment biodistribution variability of 18F-FLT uptake in patients with advanced melanoma: brief communication

Purpose This prospective study evaluates the biodistribution of 18F-FLT PET in patients with advanced melanoma before and after treatment with BRAF/MEK inhibitors.Patients and Methods Eighteen BRAF-positive unresectable stage IIIc or IV melanoma patients referred for 18F-FLT PET/CT before (BL) and during (D14) BRAF/MEK inhibition were included. 18F-FLT accumulation in the liver, bone marrow, blood, and muscle was quantified.Results Baseline interpatient 18F-FLT uptake had a coefficient-of-variation between 17.5% and 21.5%. During treatment, liver uptake increased (SUVmeanBL = 4.86 ± 0.98, SUVmeanD14 = 6.31 ± 1.36, P meanBL = 7.67 ± 1.65, SUVmeanD14 = 6.78 ± 1.19, P Conclusions To assess 18F-FLT PET, both liver and bone marrow uptake may be used as normal tissue references at baseline, but 18F-FLT biodistribution significantly changes in longitudinal response studies when treated with BRAF/MEK inhibitors.</div

Comment: The FAIR Guiding Principles for scientific data management and stewardship

Algorithms and the Foundations of Software technolog

The FAIR Guiding Principles for scientific data management and stewardship

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 scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community