A response to Rome: lessons from pre- and post-publication data-sharing in the C. elegans research community

<p>Abstract</p> <p>Background</p> <p>In recent years numerous studies have undertaken to measure the impact of patents, material transfer agreements, data-withholding and commercialization pressures on biomedical researchers. Of particular concern is the theory that such pressures may have negative effects on academic and other upstream researchers. In response to these concerns, commentators in some research communities have called for an increased level of access to, and sharing of, data and research materials. We have been studying how data and materials are shared in the community of researchers who use the nematode <it>Caenorhabditis elegans </it>(<it>C. elegans</it>) as a model organism for biological research. Specifically, we conducted a textual analysis of academic articles referencing <it>C. elegans</it>, reviewed <it>C. elegans </it>repository request lists, scanned patents that reference <it>C. elegans </it>and conducted a broad survey of <it>C. elegans </it>researchers. Of particular importance in our research was the role of the <it>C. elegans </it>Gene Knockout Consortium in the facilitation of sharing in this community.</p> <p>Results</p> <p>Our research suggests that a culture of sharing exists within the <it>C. elegans </it>research community. Furthermore, our research provides insight into how this sharing operates and the role of the culture that underpins it.</p> <p>Conclusions</p> <p>The greater scientific community is likely to benefit from understanding the factors that motivate <it>C. elegans </it>researchers to share. In this sense, our research is a 'response' to calls for a greater amount of sharing in other research communities, such as the mouse community, specifically, the call for increased investment and support of centralized resource sharing infrastructure, grant-based funding of data-sharing, clarity of third party recommendations regarding sharing, third party insistence of post-publication data sharing, a decrease in patenting and restrictive material transfer agreements, and increased attribution and reward.</p

Ethical implications of the use of whole genome methods in medical research

The use of genome-wide association studies (GWAS) in medical research and the increased ability to share data give a new twist to some of the perennial ethical issues associated with genomic research. GWAS create particular challenges because they produce fine, detailed, genotype information at high resolution, and the results of more focused studies can potentially be used to determine genetic variation for a wide range of conditions and traits. The information from a GWA scan is derived from DNA that is a powerful personal identifier, and can provide information not just on the individual, but also on the individual's relatives, related groups, and populations. Furthermore, it creates large amounts of individual-specific digital information that is easy to share across international borders. This paper provides an overview of some of the key ethical issues around GWAS: consent, feedback of results, privacy, and the governance of research. Many of the questions that lie ahead of us in terms of the next generation sequencing methods will have been foreshadowed by GWAS and the debates around ethical and policy issues that these have created

Plant genetic resources for food and agriculture: opportunities and challenges emerging from the science and information technology revolution

Over the last decade, there has been an ongoing revolution in the exploration, manipulation and synthesis of biological systems, through the development of new technologies that generate, analyse and exploit big data. Users of Plant Genetic Resources (PGR) can potentially leverage these capacities to significantly increase the efficiency and effectiveness of their efforts to conserve, discover and utilize novel qualities in PGR, and help achieve the Sustainable Development Goals (SDGs). This review advances the discussion on these emerging opportunities and discusses how taking advantage of them will require data integration and synthesis across disciplinary, organisational and international boundaries, and the formation of multi-disciplinary, international partnerships. We explore some of the institutional and policy challenges that these efforts will face, particularly how these new technologies may influence the structure and role of research for sustainable development, ownership of resources, and access and benefit sharing. We discuss potential responses to political and institutional challenges, ranging from options for enhanced structure and governance of research discovery platforms to internationally brokered benefit-sharing agreements, and identify a set of broad principles that could guide the global community as it seeks or considers solutions

Prospects and challenges for the conservation of farm animal genomic resources, 2015-2025

Livestock conservation practice is changing rapidly in light of policy developments, climate change and diversifying market demands. The last decade has seen a step change in technology and analytical approaches available to define, manage and conserve Farm Animal Genomic Resources (FAnGR). However, these rapid changes pose challenges for FAnGR conservation in terms of technological continuity, analytical capacity and integrative methodologies needed to fully exploit new, multidimensional data. The final conference of the ESF Genomic Resources program aimed to address these interdisciplinary problems in an attempt to contribute to the agenda for research and policy development directions during the coming decade. By 2020, according to the Convention on Biodiversity’s Aichi Target 13, signatories should ensure that “… the genetic diversity of … farmed and domesticated animals and of wild relatives … is maintained, and strategies have been developed and implemented for minimizing genetic erosion and safeguarding their genetic diversity.” However, the real extent of genetic erosion is very difficult to measure using current data. Therefore, this challenging target demands better coverage, understanding and utilization of genomic and environmental data, the development of optimized ways to integrate these data with social and other sciences and policy analysis to enable more flexible, evidence-based models to underpin FAnGR conservation. At the conference, we attempted to identify the most important problems for effective livestock genomic resource conservation during the next decade. Twenty priority questions were identified that could be broadly categorised into challenges related to methodology, analytical approaches, data management and conservation. It should be acknowledged here that while the focus of our meeting was predominantly around genetics, genomics and animal science, many of the practical challenges facing conservation of genomic resources are societal in origin and are predicated on the value (e.g. socio-economic and cultural) of these resources to farmers, rural communities and society as a whole. The overall conclusion is that despite the fact that the livestock sector has been relatively well-organised in the application of genetic methodologies to date, there is still a large gap between the current state-of-the-art in the use of tools to characterise genomic resources and its application to many non commercial and local breeds, hampering the consistent utilisation of genetic and genomic data as indicators of genetic erosion and diversity. The livestock genomic sector therefore needs to make a concerted effort in the coming decade to enable to the democratisation of the powerful tools that are now at its disposal, and to ensure that they are applied in the context of breed conservation as well as development

Prepublication data sharing [Consortium - Toronto International Data Release Workshop]

Rapid release of prepublication data has served the field of genomics well. Attendees at a workshop in Toronto recommend extending the practice to other biological data sets

The Primate Life History Database: a unique shared ecological data resource

attention. Awareness is growing among scientists that collaborative databases can facilitate these activities. 2. We provide a detailed description of the collaborative life history database developed by our Working Group at the National Evolutionary Synthesis Center to address questions about life history patterns and the evolution of mortality and demographic variability in wild primates. 3. Examples from each of the seven primate species included in our database illustrate the range of data incorporated and the challenges, decision-making processes, and criteria applied to standardize data across diverse field studies. In addition to the descriptive and structural metadata associated with our database, we also describe the process metadata (how the database was designed and delivered) and the technical specifications of the database. 4. Our database provides a useful model for other researchers interested in developing similar types of databases for other organisms, while our process metadata may be helpful to other groups o