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@article{Toffolini2022,

title = {On-farm experimentation practices and associated farmer-researcher relationships: a systematic literature review},

author = {Quentin Toffolini and Marie-Hélène Jeuffroy},

url = {https://link.springer.com/article/10.1007/s13593-022-00845-w},

doi = {https://doi.org/10.1007/s13593-022-00845-w},

year  = {2022},

date = {2022-11-01},

urldate = {2022-11-01},

journal = {Agronomy for Sustainable Development},

volume = {42},

number = {114},

issue = {2022},

abstract = {The convergence among the rise of digital technologies, the attention paid to the localized issues of transitions in practices toward agroecology, and the emergence of new open innovation models are renewing and reviving the scientific community’s interest in on-farm experimentation (OFE). This form of experimentation is claimed to be enhanced by digital tools as well as being an enabler of production of credible, salient, and legitimate science insofar as it embraces a farmer-centric perspective. However, the forms of research in which some experimental activities on farms are anchored vary greatly, notably with regard to the actual forms that interventions on farms take, the legitimacy of the actors involved and their roles, or the observations and instruments applied for interpretation. We propose a systematic review of the literature and an analytical framework in order to better understand this diversity of practices behind on-farm experimentation. Our analysis segregated six major publication clusters based on themes appearing in titles and abstracts. These themes guided a more in-depth analysis of representative articles, from which we identified seven types of OFE practices that are described and discussed here with regard to the knowledge targeted, roles of the various actors, and on-farm experimental space. Our typology provides an original basis for supporting reflexivity and building alignment between the above-mentioned dimensions and the ways in which new tools can support the experimental process.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Malanski2021,

title = {Labor in agrifood value chains: a scientometric review from Scopus},

author = {Priscila Duarte Malanski and Sandra Mara de Alencar Schiavi and Benoît Dedieu and Julio Cesar Damasceno},

url = {https://www.wageningenacademic.com/doi/pdf/10.22434/IFAMR2021.0066},

doi = {10.22434/IFAMR2021.0066},

year  = {2021},

date = {2021-12-24},

urldate = {2021-12-24},

journal = {International Food and Agribusiness Management Review},

pages = {1-20},

abstract = {Addressing labor issues is crucial to agrifood value chain analysis, improvements and sustainability.

However, the specific contribution of value chain approaches to discussions on labor in agriculture is still a research gap. To fill this gap, we reviewed the international literature on labor in agrifood value chains. We performed a scientometric analysis of the articles indexed in Scopus, which was composed by a bibliometric, diachronic and synchronic analysis. The main results show that labor in agrifood value chains is a relative new scientific community. Researchers’ interest evolved around three hotspots over the past 20 years, and five consolidated research domains. Our review provides an overview about the main characteristics of a rising scientific community, and a synthesis of knowledge produced to support scientific innovation on labor in agrifood value chains. Regarding chain agents, our results stress the importance of governance for improving employment and working conditions to promote chain sustainability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Malanski2019b,

title = {Characteristics of “work in agriculture” scientific communities. A bibliometric review},

author = {Priscila Duarte Malanski and Sandra Mara de Alencar Schiavi and Benoît Dedieu },

url = {https://link.springer.com/article/10.1007/s13593-019-0582-2},

doi = {10.1007/s13593-019-0582-2},

year  = {2019},

date = {2019-06-19},

urldate = {2019-06-19},

journal = {Agronomy for Sustainable Development},

volume = {39},

number = {36},

abstract = {Work is a central concern for sustainable farming systems and rural communities, especially regarding specific issues of the agricultural sector, as the strong decrease in rural employment and the less attractive working conditions. Many articles covering diverse related topics have been published. However, the few studies analyzing the state of worldwide scientific research on work in agriculture give only a fragmented view, since they focus on specialized topics and disciplines. To fill this knowledge gap, the aim of this study was to review the state of research on work in agriculture addressed by the scientific literature, through a bibliometric analysis by country, institution, journal, author, and keywords. Our main finds are that (1) work in agriculture issues is divided into six main research domains: occupational health and safety, labor market and rural employment, labor and farm sustainability, work organization, agricultural policy and agrarian changes, and labor and family farms; (2) these research domains are analyzed by five scientific communities: ergonomics, agricultural economics, livestock farming systems, rural sociology, and agricultural policy; (3) the reference authors, most-cited articles, and main journals were identified for each scientific community; (4) USA, France, and China arise as leaders in the scientific landscape. We show for the first time the characteristics of the main scientific communities worldwide that have performed the most relevant research related to work in agriculture over the past 10 years. This review provides a benchmark for future research on agricultural work-related topics and encourages collaborations between researchers from different scientific communities for interdisciplinary innovation, which support sustainable working conditions in agriculture.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mesmoudi2015linkrbrain,

title = {Linkrbrain: Multi-scale data integrator of the brain},

author = {Salma Mesmoudi and Mathieu Rodic and Claudia Cioli and Jean-Philippe Cointet and Tal Yarkoni and Yves Burnod},

url = {https://doi.org/10.1016/j.jneumeth.2014.12.008},

doi = {10.1016/j.jneumeth.2014.12.008},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Journal of neuroscience methods},

volume = {241},

pages = {44-52},

publisher = {Elsevier},

abstract = {Background LinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community. New method The linkRbrain platform has two major components: (1) a data aggregation component that integrates multiple open databases into a single platform with a unified representation; and (2) a website that provides fast multi-scale integration and visualization of these data and makes the results immediately available. Results LinkRbrain allows users to visualize functional networks or/and genetic expression over a standard brain template (MNI152). Interrelationships between these components based on topographical overlap are displayed using relational graphs. Moreover, linkRbrain enables comparison of new experimental results with previous published works. Comparison with existing methods Previous tools and studies illustrate the opportunities of data mining across multiple tiers of neuroscience and genetic information. However, a global systematic approach is still missing to gather cognitive, topographical, and genetic knowledge in a common framework in order to facilitate their visualization, comparison, and integration. Conclusions LinkRbrain is an efficient open-access tool that affords an integrative understanding of human brain function. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}