Effects of Soil Conservation Practices on Sediment Yield from Forest Road Ditches in Northern Iran

The fine-textured soil in forest road ditches is very susceptible to water erosion especially in rainy seasons in Hyrcanian forest. This study examined the yield of ditch segment-scale sediment after releasing two flow rates of 5 l s-1 and 10 l s-1 in segments treated by riprap (RR), grass cover by Festuca arundinacea L. (GC), compacted cotton geotextile (CG) and wooden wattle by local slash (WW). Sediment sampling from the runoff was carried out at the end of each segment every minute. Runoff flow velocity in different treatments was measured using an electromagnetic flow meter. Sediment concentration and runoff velocity in treatments of RR, GC, CG, WW was significantly lower than that of the control plot (Ctl). Increasing flow rate from 5 l s-1 to 10 l s-1 caused no significant change in sediment concentration (except for Ctl and RR) and runoff velocity (except for Ctl and CG), which means that some water might have penetrated into treated soil by RR, GC and WW and this is not acceptable in forest road maintenance practices. Sediment yield from RR (0.36 g l-1) and Ctl (0.50 g l-1) under the flow rate of 10 l s-1 was significantly higher than that of 5 l s-1 with values of 0.21 g l-1 and 0.38 g l-1, respectively. Minimum amount of sediment concentration was observed for CG (0.20 g l-1) with compacted ditch bed. Moreover, runoff velocity in CG and Ctl under the flow rate of 10 l s-1 was significantly higher than that of 5 l s-1. For a forest road with dimension 30×50 cm, slope of 5%, and clay soil with porosity of 57%, treatments of compacted CG can be used in ditch with low flow rates (5 l s-1) and high flow rate (10 l s-1) because of their high efficiency in reducing sediment yield

Equitable participation in biobanks: The risks and benefits of a "Dynamic Consent" approach

Participation in biobanks tends to favor certain groups—white, middle-class, more highly-educated—often to the exclusion of others, such as indigenous people, the socially-disadvantaged and the culturally and linguistically diverse. Barriers to participation, which include age, location, cultural sensitivities around human tissue, and issues of literacy and language, can influence the diversity of samples found in biobanks. This has implications for the generalizability of research findings from biobanks being able to be translated into the clinic. Dynamic Consent, which is a digital decision-support tool, could improve participants’ recruitment to, and engagement with, biobanks over time and help to overcome some of the barriers to participation. However, there are also risks that it may deepen the “digital divide” by favoring those with knowledge and access to digital technologies, with the potential to decrease participant engagement in research. When applying a Dynamic Consent approach in biobanking, researchers should give particular attention to adaptations that can improve participant inclusivity, and evaluate the tool empirically, with a focus on equity-relevant outcome measures. This may help biobanks to fulfill their promise of enabling translational research that is relevant to all

Consent for data processing under the General Data Protection Regulation: could 'dynamic consent' be a useful tool for researchers?

The General Data Protection Regulation (GDPR) sets a high bar for consent for the processing of personal data. In the UK, researchers have been directed to rely on legal bases other than consent for processing personal data for research purposes. Informed consent nonetheless, and despite certain shortcomings, holds a central position in ethical research practice, as well as at common law, and in a range of other legislation dealing with research involving humans. This paper evaluates the place of informed consent in research following the GDPR's implementation, arguing that a fresh approach to consent – specifically the concept known as 'dynamic consent' – could provide a way for researchers to meet the new European regulatory requirements for data processing whilst adhering to the highest ethical standards for research conduct. It analysis dynamic consent according to specific GDPR requirements and reflects on practical examples that could inform future implementation of the approach, while remaining aware of the need for further empirical research.</p

Desiderata for digital consent in genomic research.

Herein, we describe the characterization of a Digital Consent (DC) System to support current ethical-legal issues associated with challenges posed by informed consent for genomic research. A potential solution to support ongoing interaction with patients and allow control over how their data and samples are being used in genomic research can be Digital Consent based. But there are other challenges that need to be addressed, such as incidental findings when analyzing the results of genomic tests (not expected). This paper addresses security and privacy recommendations for the development of precision medicine, and the interoperability references of Health Information Standardization Organizations such as HL7 and IHE, as well as recent research in the field of ethics in Genomic Medicine. As a result of this work, ten key features that need to be further explored have been identified in order to support the realization of DC in Genomic Research

Using an electronic device in the waiting room for patient engagement with a musculoskeletal patient registry: a mixed methods study

Objective The purpose of this study was to explore whether patients with musculoskeletal conditions would agree to use digital technologies to learn about research registries and make a decision about signing up whilst in the clinic waiting room. Methods Patients were recruited from four hospital clinics across Oxfordshire. We used an explanatory mixed methods design with two sequential phases comprising an exploratory, cross-sectional questionnaire (n = 84), followed by focus group interviews (n = 8) to provide context for the findings from the questionnaire. Multivariate ordinal logistic regression models were used to explore relationships between patient preferences and characteristics. Thematic analysis was used to understand the reasons for patient preferences regarding digital technologies and research registries. Results As participants' age increased, they were more likely to report a preference for face-to-face recruitment methods compared to those using digital technologies. Findings from the focus groups indicated this was primarily due to a fear of technology and physical limitations associated with a patient's condition. Patients also reported a preference for making a decision about signing up at a later date, which was attributed to patients feeling distracted whilst in the waiting room due to anxieties related to their upcoming appointment. Conclusions Many patients with musculoskeletal conditions in the UK may be interested in learning about opportunities to participate in research whilst using digital technologies within the waiting room. The results suggest the need for choice regarding the presentation and format of information and whether it can be accessed at a later date at home.</p

The RUDY Study: Using digital technologies to enable a research partnership

Patients have extensive experience of their disease that can enhance the design and execution of research leading to significant innovations and efficiencies in the research process. The research community on the whole have been slow to adopt practices that enable patients to become active partners in research. Digital technologies are providing the means to do this more easily and so are increasingly being used to interact with patients and involve them in the design and execution of research. The RUDY (Rare UK Diseases of bone, joints and blood vessels) Study’s pioneering approach applies a custom-developed electronic platform where patients can contribute information over time about their disease experience, lifestyle and clinical history. This is combined with a state-of-the-art Dynamic Consent model and a commitment to patient-driven research, to further our understanding of rare diseases. This paper describes the RUDY Study and the benefits that have been gained from adopting this partnership approach to research

The RUDY Study: Using digital technologies to enable a research partnership

Patients have extensive experience of their disease that can enhance the design and execution of research leading to significant innovations and efficiencies in the research process. The research community on the whole have been slow to adopt practices that enable patients to become active partners in research. Digital technologies are providing the means to do this more easily and so are increasingly being used to interact with patients and involve them in the design and execution of research. The RUDY (Rare UK Diseases of bone, joints and blood vessels) Study’s pioneering approach applies a custom-developed electronic platform where patients can contribute information over time about their disease experience, lifestyle and clinical history. This is combined with a state-of-the-art Dynamic Consent model and a commitment to patient-driven research, to further our understanding of rare diseases. This paper describes the RUDY Study and the benefits that have been gained from adopting this partnership approach to research

The governance structure for data access in the DIRECT consortium: an innovative medicines initiative (IMI) project

Biomedical research projects involving multiple partners from public and private sectors require coherent internal governance mechanisms to engender good working relationships. The DIRECT project is an example of such a venture, funded by the Innovative Medicines Initiative Joint Undertaking (IMI JU). This paper describes the data access policy that was developed within DIRECT to support data access and sharing, via the establishment of a 3-tiered Data Access Committee. The process was intended to allow quick access to data, whilst enabling strong oversight of how data were being accessed and by whom, and any subsequent analyses, to contribute to the overall objectives of the consortium