“CABI is an international, inter-governmental, not-for-profit organization that improves people’s lives worldwide by providing information and applying scientific expertise to solve problems in agriculture and the environment.
Our approach involves putting information, skills and tools into people’s hands. CABI’s 50 member countries guide and influence our work which is delivered by scientific staff based in our global network of centres.”
“CABI is an international, inter-governmental, not-for-profit organization that improves people’s lives worldwide by providing information and applying scientific expertise to solve problems in agriculture and the environment.
Our approach involves putting information, skills and tools into people’s hands. CABI’s 50 member countries guide and influence our work which is delivered by scientific staff based in our global network of centres.”
“The world’s growing population will need more and better food, from less farmable land, being produced by fewer farmers, in a far more volatile and changing climate. A more efficient and equitable agricultural system, in harmony with the environment, requires a step-change in how research is conducted and?how its outputs and data are?shared.
Opening up agricultural research and data is key to accelerating new discoveries and translating them into practice in the field. Other scientific disciplines have adopted?open science but agriculture, although making some progress, is lagging behind.
This webinar?debates the?benefits and opportunities inherent in “open agriculture” and also reviews?some of the?obstacles to change:
• Incentive structures for academic researchers perpetuate?a?restrictive and closed approach, discouraging early data sharing, with low uptake of preprint?and data-sharing initiatives
• The?majority of agricultural research is still published in pay-walled journals?which have established impact factors, copyright transfer, and perverse incentive schemes
• The?corporate sector?conducts important research and development, but commercial constraints inhibit more open sharing of data and insights
• How can open agricultural knowledge and data improve development outcomes for women?
• Open science presents both opportunities and challenges for researchers in low- and middle-income countries
• What would be the ideal open frameworks for agriculture?…”
“The world’s growing population will need more and better food, from less farmable land, being produced by fewer farmers, in a far more volatile and changing climate. A more efficient and equitable agricultural system, in harmony with the environment, requires a step-change in how research is conducted and?how its outputs and data are?shared.
Opening up agricultural research and data is key to accelerating new discoveries and translating them into practice in the field. Other scientific disciplines have adopted?open science but agriculture, although making some progress, is lagging behind.
This webinar?debates the?benefits and opportunities inherent in “open agriculture” and also reviews?some of the?obstacles to change:
• Incentive structures for academic researchers perpetuate?a?restrictive and closed approach, discouraging early data sharing, with low uptake of preprint?and data-sharing initiatives
• The?majority of agricultural research is still published in pay-walled journals?which have established impact factors, copyright transfer, and perverse incentive schemes
• The?corporate sector?conducts important research and development, but commercial constraints inhibit more open sharing of data and insights
• How can open agricultural knowledge and data improve development outcomes for women?
• Open science presents both opportunities and challenges for researchers in low- and middle-income countries
• What would be the ideal open frameworks for agriculture?…”
Abstract: This work analyses the perception and practice of sharing, reusing, and facilitating access to research data in the field of food science and technology. The study involved the coordination of a focus group discussion and an online survey, to understand and evince the behaviour of researchers regarding data management in that field. Both the discussion group and the survey were performed with researchers from several institutes of the Spanish National Research Council. The lack of a data sharing culture, the fear of being scooped, and confusion between the concepts of the working plan and the data management plan were some of the issues that emerged in the focus group. Respondents’ previous experience with sharing their research data has been mainly in the form of appendices to peer?reviewed publications. From the survey (101 responses), the most important motivations for publishing research data were found to be facilitating the reproducibility of the research, increasing the likelihood of citations of the article, and compliance with funding body mandates. Legal constraints, intellectual property, data ownership, data rights, potential commercial exploitation, and misuse of data were the main barriers to publishing data as open data. Citation in publications, certification, compliance with standards, and the reputation of the data providers were the most relevant factors affecting the use of other researchers’ data. Being recent or recently updated, well documented, with quality metadata and ease of access were the most valued attributes of open research data.
“A company put an end user license agreement (EULA) on a bag of grapes: “The recipient of the produce contained in this package agrees not to propagate or reproduce any portion of this produce, including ‘but not limited to’ seeds, stems, tissue, and fruit,” read the EULA on a bag of Carnival brand grapes….”
“A recent grant from the Center for Research Libraries’ Project CERES will allow Washington State University Libraries to digitize some 41,000 documents of early Washington State College Extension home economics publications as well as reports of the then-named Tree Fruit Experiment Station, today’s WSU Wenatchee Tree Fruit Research and Extension Center.
The digital collection will be of interest to farmers, nutritionists, historians and cultural studies researchers looking for Extension material from the first half of the 20th century….”
Abstract: A survey on conducted to know the status of awareness and attitude particularly towards preprints among the research scholars, scientists and librarians in the South Asian region during the months of April and May 2020 had maximum responses from India (83.71%) and majority of Agricultural Sciences (54%) discipline. Respondents ranked ‘Journal’s Impact Factor’ at the top factor for selecting journals to publish. Seventy five percent had at least 25% of their publications in Open Access and had paid the APCs (65.33%) for publications and the source of funds are personal pooling (30.34%). While 61.72% read preprints, 27.03% have not heard about preprints and 11.26% never read the preprints. However, those read, 64.42% trust the preprints. And why they share preprints is because of ‘belief in open access’ (39.91%), ‘rapid feedback’ (23.53%) and ‘timely sharing results’ (21.72%). With regard to citing preprints, 60.36% never cited any preprints and 79.73% respondent’s preprints were never cited. However, the respondents mentioned that indexing, citing, visibility, consideration in assessment & evaluation will motivate the authors to share preprints.
“The National Agricultural Library (NAL) identified a need for a framework of guidance to support rapid appraisal and processing for scientific researchers’ collections after being offered collections of scientific data and data-rich materials that required immediate appraisal before acquisition. To this end, the NAL partnered with the University of Maryland’s College of Information Studies (iSchool) to support two Data Rescue Digital Curation Fellows to investigate processes for efficiently identifying, appraising, and processing scientific data out of legacy collections, to support data use and reuse….
The data being ‘rescued’ is intended for inclusion in the USDA’s Agricultural Research Service (ARS) open access data repository, Ag Data Commons….”
Abstract: The Infectious Diseases of East African Livestock (IDEAL) project was a longitudinal cohort study of calf health which was conducted in Western Kenya between 2007-2010. A total of 548 East African shorthorn zebu calves were recruited at birth and followed at least every 5 weeks during the first year of life. Comprehensive clinical and epidemiological data, blood and tissue samples were collected at every visit. These samples were screened for over 100 different pathogens or infectious exposures, using a range of diagnostic methods. This manuscript describes this comprehensive dataset and bio-repository, and how to access it through a single online site ( http://data.ctlgh.org/ideal/ ). This provides extensive filtering and searching capabilities. These data are useful to illustrate outcomes of multiple infections on health, investigate patterns of morbidity and mortality due to parasite infections, and to study genotypic determinants of immunity and disease.