Current Issue

Vol. 9 (2023)

This is the ninth volume of the Open Data journal for Agricultural Research

Published: 2023-02-28


  • Informal and non-market operations in activity systems representative survey of Kanak households in the indigenous villages of New Caledonia

    Severine Bouard, Leïla Apithy, Stephane Guyard, Michel Passouant, Jean-Michel Sourisseau, Jean-François Belières
  • AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat

    Bing Liu, Pierre Martre, Frank Ewert, Heidi Webber, Katharina Waha, Peter J. Thorburn, Alex C. Ruane, Pramod K. Aggarwal, Mukhtar Ahmed, Juraj Balkovič, Bruno Basso, Christian Biernath, Marco Bindi, Davide Cammarano, Weixing Cao, Andy J. Challinor, Giacomo De Sanctis, Benjamin Dumont, Mónica Espadafor, Ehsan Eyshi Rezaei, Elias Fereres, Roberto Ferrise, Margarita Garcia-Vila, Sebastian Gayler, Yujing Gao, Heidi Horan, Gerrit Hoogenboom, Roberto C. Izaurralde, Mohamed Jabloun, Curtis D. Jones, Belay T. Kassie, Kurt C. Kersebaum, Christian Klein, Ann-Kristin Koehler, Andrea Maiorano, Sara Minoli, Manuel Montesino San Martin, Christoph Müller, Soora Naresh Kumar, Claas Nendel, Garry J. O’Leary, Jørgen Eivind Olesen, Taru Palosuo, John R. Porter, Eckart Priesack, Dominique Ripoche, Reimund P. Rötter, Mikhail A. Semenov, Claudio Stöckle, Pierre Stratonovitch, Thilo Streck, Iwan Supit, Fulu Tao, Marijn Van der Velde, Enli Wang, Joost Wolf, Liujun Xiao, Zhao Zhang, Zhigan Zhao, Yan Zhu, Senthold Asseng
  • A high-yielding traits experiment for modeling potential production of wheat: field experiments and AgMIP-Wheat multi-model simulations

    Jose Guarin, Pierre Martre, Frank Ewert, Heidi Webber, Sibylle Dueri, Daniel Calderini, Matthew Reynolds, Gemma Molero, Daniel Miralles, Guillermo Garcia, Gustavo Slafer, Francesco Giunta, Diego Pequeno, Tommaso Stella, Mukhtar Ahmed, Phillip Alderman, Bruno Basso, Andres Berger, Marco Bindi, Gennady Bracho-Mujica, Davide Cammarano, Yi Chen, Benjamin Dumont, Ehsan Eyshi Rezaei, Elias Fereres, Roberto Ferrise, Thomas Gaiser, Yujing Gao, Margarita Garcia-Vila, Sebastian Gayler, Zvi Hochman, Gerrit Hoogenboom, Leslie Hunt, Kurt Kersebaum, Claas Nendel, Jorgen Olesen, Taru Palosuo, Eckart Priesack, Johannes Pullens, Alfredo Rodriguez, Reimund Rotter, Margarita Ruiz Ramos, Mikhail Semenov, Nimai Senapati, Stefan Siebert, Amit Srivastava, Claudio Stockle, Iwan Supit, Fulu Tao, Peter Thorburn, Enli Wang, Tobias Weber, Liujun Xiao, Zhao Zhang, Chuang Zhao, Jin Zhao, Zhigan Zhao, Yan Zhu, Senthold Asseng
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Agricultural research uses and produces many relevant data sets in studying agricultural systems across the globe, through its efforts in investigating conditions of global food (in)security at different spatial scales (from regional to national to continental.  These data sets have a value to the specific research as these are analysed and investigated, leading to results and conclusions, that are published in peer-reviewed scientific journals or presented at scientific conferences. These data have a longer term value as a resource for the future than the specific research in which they are collected. Other researchers or experts can use these data in new analysis, meta-analysis, or different applications of modelling or statistical tools, leading to new insights for the future. The Open Data Journal for Agriculture Research (ODjAR) acts as a central hub for storing, curating and publishing the data sets as a resource for the future where publications and their authors get appropriate credit through citations and digital object identifiers for future reference.

Many different data sets exist, that are of value and deserve accreditation:  experimental data, surveys, model inputs, model outputs, derived indicators and statistics, data assimilation and mark-ups, maps, measured data points.  Unlike journal articles describing the main new insights and the most important lessons learned, these data sets are often lost when the funding period ends or the research is published, leading to a situation where these are difficult to reuse for other purposes, or difficult to re-use in reproducing the results described. With the advance of Open Access, Linked Open Data and Open data portals of governments, there is increasing awareness of the value of sharing data with others for further investigation, increased innovation, creation of jobs and better services. Also, governments and science funders are increasing their pressure for science to open up its data, as it is paid with tax-payer financial resources, and should thus have a public benefit.

Support and in-kind contributions towards realizing ODjAR is acknowledged from  Wageningen University and Research Centre Library