The Research Data Alliance  (RDA) was launched as a community-driven organization in 2013 by the European Commission, the United States Government's National Science Foundation and National Institute of Standards and Technology, and the Australian Government’s Department of Innovation with the goal of building the social and technical infrastructure to enable open sharing of data.  

With more than to 4,300 members from 111 countries (September 2016), RDA provides a neutral space where its members can come together through focused global Working and Interest Groups to develop and adopt infrastructure that promotes data-sharing and data-driven research, and accelerate the growth of a cohesive data community that integrates contributors across domain, research, national, geographical and generational boundaries.

Formed in 2013, since its inception the Interest Group on Agricultural Data (IGAD) has grown in community strength to over 100 members, becoming one of the RDA’s most prominent Thematic Groups. IGAD is a domain-oriented group working on all issues related to global agriculture data. It represents stakeholders in managing data for agricultural research and innovation, including producing, aggregating and consuming data.

Beyond this IGAD promotes good practices in research with regard data sharing policies, data management plans, and data interoperability, and it is a forum for sharing experience and providing visibility to research and work in agricultural data. The Global Open Data for Agriculture and Nutrition (GODAN) initiative supports its partners to join IGAD and participate actively to work on open data, data interoperability and capacity development.

One of IGAD’s main roles is to serve as a platform that leads to the creation of domain-specific Working Groups (WG). To date, one successful WG has formed under IGAD and four more are in their inception phase:  the Wheat Data Interoperability, the Rice Data Interoperability, Soil Data, AgriSemantics and On-Farm Data Sharing, - all playing an active role at the most recent RDA 8 in Denver (CO, USA). GODAN is actively promoting the membership of these WGs to its partners and some will function as GODAN WGs.

IGAD Pre-meeting at RDA Plenary Meeting 9

The next IGAD pre-meeting will take place in Barcelona (Spain) before the RDA Plenary Meeting 9:

and will provide an opportunity to evaluate how the group has evolved during the last months, what are the latest developments and to focus on research data management and semantics.

For that, and following the successful methodology applied at P7, we are organizing a pre-meeting to showcase and discuss in the context of open and research data and with special attention to rice, wheat, other crops, agrisemantics and soil research data.  

The RDA IGAD community is ever expanding and adding interesting new topics to its portfolio. At  the P9 pre-meeting, we are excited to invite participants to discuss new topics: capacity development for agriculture research data management, weather climate data and metrics and indicators in agricultural sciences.

The two-day meeting, will include presentations during the first day, related to the topics below, while the second day will focus intensive discussions and interactions. Towards this objective, it is proposed to organize nine discussion groups around the following topics:

1. AgriSemantics

2. Rice Data and Wheat Data Interoperability

3. Other crop Research Data Interoperability

4. Soil Data Interoperability

5. On-Farm Data Sharing

6. Metrics and indicators in agricultural science

7. Climate/Weather Data

8. Capacity development in the context of research data in agriculture

1st IGAD Pre-Meeting Day

3rd April 2017

Time

Session

08:00 - 09:00

Registration (Room: Conference Hall, “Sala de actos”, basement -1 floor)

09:00 - 09:15

Welcome addresses. Opening remarks

Ernest Abadal (Dean of the Faculty of Library and Information Science, University of Barcelona)

André Laperrière (Executive Director of GODAN)

Imma Subirats (Food and Agriculture Organization of the United Nations)

AgriSemantics

09:15 - 09:30

Semantics for data interoperability: where are we?

Sophie Aubin (INRA, France)

We will give the audience a foretaste of the state of the use of semantics for agricultural data. This report will be published a couple of weeks after the BCN meeting by the Agrisemantics WG as its first deliverable.

What are the major semantic resources, tools and services used by the agrifood community to handle their data? Where to find them? Who are the key players? What is semantics applied to? These are some questions we will try to address.

09:30 - 09:45

Toward Interoperability of Observations & Measurements Data in Production Agriculture: AgGateway’s Implementation of ISO 19156 and Semantic Infrastructure

Andres Ferreyra (Ag Connections LLC, US)

AgGateway’s global effort toward interoperability identified value in implementing an ISO 19156 – based model of observations and measurements for agricultural field operations. This work, centered on the PAIL, SPADE and ADAPT projects, emphasizes the explicit capture of the semantics of the various aspects of an observation. The work, performed by a group of industry and academic AgGateway participants spanning four continents, includes three major parts:

First, defining a componentized model of the properties of an observation, based on an extensible set of orthogonal vocabularies, which includes representing valid combinations of components. Second, deploying infrastructure, in the form of a RESTful API, to make the componentized variable definitions freely available to industry and the research community; this includes putting into place an ISO 19135-based process for stakeholders to request the addition of vocabularies or entries therein. Third, incorporating observations and measurements into AgGateway’s ADAPT common object model and format conversion plug-in architecture, thus enabling widespread interoperability.

09:45 - 10:00

Research on Knowledge Element Relation and Knowledge Service for Agricultural Literature Resource

Xie nengfu, Sun wei and Zhang xuefu (CAAS, China)

The volume of publicly available data in agriculture is constantly increasing. For the problem, we provide an effective method that help the user get a desired integrated knowledge unit with minimal time and energy. The method mainly implements knowledge relation and knowledge service based knowledge element with standardized structure and knowledge level relation label. The proposed method can integrate knowledge element from diverse knowledge sources and produce new knowledge for user based on the knowledge extraction and classification. At last, we will provide a knowledge service model.

10:00 - 10:15

Development and Application of Agriculture Ontologies

Hideaki Takeda (National Institute of Informatics, NII, Japan)

In this talk, we present the current status of our agriculture ontologies that are developed to accelerate the data use in agriculture.

The agriculture activity ontology formalizes the activities in agriculture. We have developed it for three years. Now we are developing its applications. One application is to exchange formats between different farmer management  systems. Another ontology is the crop ontology that standardizes the names of crops. The structure is simple but has links to many other standards in distribution industry, food industry and so on.

10:15 - 10:30

The BioSharing portal - linking databases, data standards and policies in the life, biomedical and environmental sciences

Peter McQuilton (Oxford e-Research Centre)

Launched in 2011, the BioSharing portal is a curated, web-based, searchable portal of three linked registries of content standards, databases, and data policies in the life sciences, broadly encompassing the biological, natural and biomedical sciences. Endorsed by a community of over 20 organizations, including publishers (embedded in the data policies of 600 Springer Nature’s journals, PLOS , EMBO press, BMJ, F1000Research, BioMedCentral, Oxford University Press, Wellcome Trust Open Research), standardization groups (TDWG, CDISC, NIH LINCS), and research data management support initiatives and libraries (such as those at JISC, Stanford, Cambridge and Oxford).

10:30 - 10:45

Questions: Agrisemantics

10:45 - 11:00

Coffee Break

Wheat and Rice Data Interoperability and other Crop Research Data

11:00 - 11:15

The wheat data interoperability guidelines: feedback, news and next steps

Esther Dzale Yeumo (INRA, France) and Richard Fulss (CIMMYT, Mexico)

The wheat data interoperability guidelines result from a joint effort of the wheat research community and data experts, who wish to make their research data more accessible, interoperable and reusable. During more than 18 months, the Wheat Data Interoperability WG questioned the wheat research community about their usage of data standards, discussed and selected a set of recommendations based on some consensual criterias.

This presentation will give you some feedback about the work of the WDI working group, update you with the latest news and discuss possible future developments.

11:15 - 11:30

WheatIS: A genetics and genomics information system for the wheat research community

Hadi Quesnevilles (INRA, France)

In 2011, the G20 ministers of agriculture mandated the Wheat Initiative to coordinate worldwide research efforts for wheat improvement. Under its umbrella, the WheatIS Expert Working Group was set up in 2013 to build an international wheat information system, called WheatIS (wheatis.org).

We present here the WheatIS conceived as distributed information system, acting as a hub for integrating wheat data produced and submitted to the public repositories. It relies on a network of 12 bioinformatics platforms working synergistically to provide an easy access to wheat data. These platforms, each considered as a WheatIS node, share their resources and propose several dedicated integrative databases, e.g. for genomic, genetic, and phenotype information, comparative genomics, and functional genomics. The hub, wheatis.org, provides centralized access to (i) the nodes and their resources, (ii) recommended data standards, (iii) a file repository to deposit and share the data among the scientific community, and (iv) a search in distributed databases for an easy data discovery.

11:30 - 11:45

Grassroots: interoperable infrastructure for wheat data

Robert Davey (Earlham Institute, United Kingdom)

With the advent of reliable and robust open methods for the assembly and annotation of the hexaploid wheat genome, technologies and techniques are required to handle and disseminate the ever-increasing amounts of information around bread wheat and its relatives. Integrative wheat research requires extensive multi-level approaches to enrich and expose data and workflows so that informatics infrastructures can process them effectively. The Grassroots project at the Earlham Institute represents a UK node of the Wheat Initiative Wheat Information System (WheatIS) to consolidate data and analyses, facilitating consistent approaches to generating, processing and disseminating public wheat datasets. The Grassroots infrastructure comprises: a data management layer to provide structure to unstructured filesystems; interfaces to interact with local or cloud-based analysis platforms; a search layer to provide multi-faceted metadata and literature querying; a web server layer to deliver content and provide access to public programmatic interfaces. Grassroots can be run locally or packaged in virtual containers and deployed on a variety of hardware thus representing a decentralised system, allowing information generators to retain control over their resources but allowing interconnected resources to access each other consistently. EI also has an extensive National Capability to provide scientific computing hardware to the UK research community and is therefore perfectly positioned to build a point-of-access to previously disparate resources to serve wheat breeders, biologists and bioinformaticians. Coupling the Grassroots project with BBSRC-funded efforts in data stewardship and analysis, such as CerealsDB, COPO, CyVerse UK and Galaxy, EI is working with the wider infrastructure and plant science communities deliver standardised methodologies for wheat data integration, interpretation and discovery.

11:45 - 12:00

Update on the Working Group on Rice Research Data Interoperability

Shaik N.Meera (Rice Knowledge Management Porta, India), Ramil P. Mauleon (International Rice Research Institute, Philippines), Pierre Larmande (Institut de Recherche pour le Développement, France)

The challenge of increasing rice harvest to produce an additional 104 million tons of milled rice by 2040, beyond the expected 2015 harvest of 475 million tons, requires concerted effort from rice researchers in order to achieve a major leap in rice research technology to address the target yield increase. Modern rice breeding is now beginning to use high-throughput technologies (eg. genome sequencing, single-nucleotide polymorphism markers, phenomics, rapid generation advance, imaging by drones) that generate large quantities of data in basic, applied and adaptive research in rice sector. However, using these resources comprehensively, taking advantage of the associated cross-disciplinary research opportunities is a major challenge to both domain scientists and information technologists, and a global rice research coordination/cooperation would greatly benefit from a community framework/ standard to easily exchange research data across the globe.

Through a meeting last February 2016 of the IGAD of the RDA, in collaboration with GODAN, the Rice Research Data Interoperability Working Group  (RDI WG) was formed, the case statement was submitted, and is now formally recognized and endorsed by RDA.  RDI WG intends to produce a set of guidelines on how to make rice research data easily shareable, reusable and interoperable in terms of functionalities and data types. The proposed common framework will help in describing, representing, linking and publishing rice data with respect to open standards. Implementing the framework will help cultivate a rice research ecosystem with people familiar with interoperability, organisations ready to collaborate, and common tools and services available.

On the legal and policy aspects of the underlying data and data interoperability methods, RDI WG will utilize existing policies in place in the respective organizations regarding data access, and will adopt the recommendations and outcomes of RDA – CODATA Working Group on Legal Interoperability of Research Data. The work will directly align with the ongoing initiatives of hundreds of rice research organizations (including International Rice Research Institute and Africa Rice).

In the approved case statement, RDI WG aims to :

1.    Produce a report on the survey of existing standards among rice research and development organizations, with focus on data availability, accessibility and applicability, formats, ontology, standards and metadata used, and do a complete analysis of interoperability (if in place) among rice databases and repositories.

2.    Provide a set of recommendations on good practices, ontologies, tools and examples to create, manage and share data related to rice (based on the existing Wheat Data Interoperability Guidelines). RDI WG will identify and adopt WDI components relevant to rice data,  customize accordingly, and add new types of data as discovered from the survey. The expected output is a Rice Data Framework specification (cookbook)

3.    Evaluate prototype(s) on Rice specific data registry (RDA Persistent ID Types and Data Type Registry WGs as initial models), and make recommendations on how to develop this type of tools, and disseminated as good practices.

4.    Make recommendations for a Rice ontology that should align existing rice ontologies, thesauri, controlled vocabularies, which could be the basis on multi-lingual conversion of ontologies  (but not a deliverable of RDI WG)

5.    Recommend best practices/method(s) for digitization of rice legacy data (using India's data repository as initial model).

In this talk, updates on the 5 deliverables of RDI WG will be presented.

12:00 - 12:15

DivSeek - Harnessing Crop Diversity

Ruth Bastow (Global Plant Council, United Kingdom)

DivSeek is a community driven effort consisting of a diverse set of partner organizations that have voluntarily come together to unlock the potential of crop diversity stored in genebanks so that it can be utilized to enhance the productivity, sustainability and resilience of crops and agricultural systems. www.divseek.org

12:30 - 12:45

Questions on Wheat and Rice Data Interoperability and Other Crop Research Data

Capacity Development in the Context of Research Data in Agriculture

12:45 - 13:00

Overview of  Capacity Development for Agriculture

Isaura Lopes Ramos (CTA) and Suchith Anand (GODAN)

There are many synergies in capacity development activities undertaken by RDA IGAD  and  GODAN. Both initiatives aim to explore closer collaborations during the IGAD pre-conference meeting  that will be held at the Faculty of Library and Information Science of the University of Barcelona. on April 3-4 2017 prior to the upcoming 9th RDA Plenary Meeting,  on April 5-7, 2017.

More than 100 data experts from more than 35 countries have already registered to the IGAD pre-meeting where the participants will be briefed about ongoing activities of IGAD Working Groups (WGs) and will convey new ideas through the proposals for future work.

Among many points of discussion, the IGAD pre-meeting will be also the springboard for the official launching of the Joint Building Synergies in Capacity Development Discussion Group,  in the context of research data in agriculture and their potential contribution to the realization of the Sustainable Development Goals (SDGs). The discussion group will be co-chaired by Isaura Lopez Ramos (CTA) and Suchith Anand (GODAN).

The objective of this new group is to explore ideas for closer collaborations between RDA/IGAD - RDA/Geospatial IG - GODAN Capacity Development - CODATA and synergies to set up a Joint Curriculum WG with regard to education and training on Open Data in food and agricultural sciences.

This event will be a unique opportunity for all participants to provide multidisciplinary inputs about best practices into the curriculum development process with the objective to expand the societal impact of open agricultural research. A particular focus will be on sharing knowledge about training programs and platforms reducing digital divides so that researchers in developing countries can also benefit.

13:00 - 13:05

Questions on Capacity Development

13:05 - 14:00

Lunch Break

Soil Data Interoperability

14:00 - 14:10

Introduction to the Soil Data WG and official launch and Development and current status of SoilML

Rainer Baritz (FAO of the UN)

Abstract Missing

14:00 - 14:20

Where next for a global soil data exchange standard?

Peter Wilson (CSIRO, Australia), David Medyckyj-Scott (Landcare Research, New Zealand)

Soil data exchange and analysis is compromised by the lack of a widely agreed international standard for describing soils and the sampling and analytical activities relating to them. Observed and modelled data provides the critical evidence by which we can assess, use and monitor the state of the worlds soils allowing us to manage them sustainably. Standards are being developed but in a fragmented way.  There are technical challenges but we also need to deal with governance and resourcing issues if we are to move forward and make significant progress.

14:20 - 14:30

Case study of distributed soil information system for Russia

Oleg Golozubov (Lomonosov Moscow State University, Russia)

Abstract Missing

14:30 - 14:45

Questions on Soil Data Interoperability

Climate and Weather Data

14:45 - 15:00

Weather and climate data supporting operational and strategic decision making in agriculture and food security

Rob Lokers (University of Wageningen, The Netherlands)

Several examples of weather and climate data based services and their impact on short and long term decision making will be discussed. They will be connected to a general framework for knowledge based decision making. It will also specifically address current challenges in deploying such services in developing countries and how these are addressed.

15:00 - 15:15

Weather data and soil agrochemicals' concentration data in a lake: risk assessment for the population living in the neighborhood

Tilemachos Koliopoulos (Technological Educational Institute of Athens - Telegeco Research Centre, Greece)

Most water pollution in lakes and their environmental impact assessment in fisheries are produced by soil agrochemicals. A proper data analysis is proposed so as to avoid any relative associated risks; environmental impacts in lakes and water reservoirs for agriculture and fisheries. The case study of Lake Koronia is examined to apply the proposed data management modules. Hazardous concentrations have been found in the past in Lake Koronia in Greece. This means a concern for the fisheries, birds and the human population living nearby. In response to this, is performed a statistical study focused on assessing human health risks derived from environmental exposure to agricultural pesticides and associated soil data for a given lake around an examining water basin. Concentrations of various hazardous chemicals are determined in soil and in water. Sample collected in several locations around lake Koronia are analysed. Health risks are evaluated according to the distance from the sampling locations to the near urban areas. In general terms, water quality and agrochemicals' treshold levels are analysed. A proper weather data management and hydrological analysis is made providing useful risk assessment results.

However, concentrations of toxic agrochemicals were found to be relatively higher concentrations under several examining scenarios, resulting in a slight increase of exposure to those pollutants. Anyhow, the current concentrations of agricultural pesticides suggest that it is highly unlikely that there are any additional non-carcinogenic and carcinogenic risks for the population living near the examining case study.

15:15 - 15:20

Questions on Climate and Weather Data

15:20 - 15:45

Coffee Break

Room Change to “Aula Rubió, 2nd floor”

Metrics and Indicators in Agricultural Science

15:45 - 16:00

Agricultural Science: three bibliometric systems compared

Ellen Fest & Hugo Besemer (University of Wageningen, The Netherlands)

Wageningen University & Research (WUR) uses bibliometric analyses extensively to assess the scientific performance of research groups. Since we built our current systems two new systems became available on the market. We are considering whether to adopt one of these systems or stay with our current own. To inform that decision we have compared three bibliometric tools:

• The current system that uses Web of Science citation data and uses Essential   Science Indicators as baselines.

• Scival from Elsevier, that uses Scopus data and calculates its own baselines.

• Incites from Clarivate Analytics that uses Web of Science data and uses baselines  derived from JCR categories

We used the three systems for the outputs of 22 research groups from WUR and looked in detail how their ranking in their subject area was affected by the tool that was used to do the bibliometric analysis. We found that the differences could be explained to some degree by the different journal categorization systems that the tools use and the journals that these categories contain.  In some cases the differences in ranking could be explained by the fact that different tools treat certain types of documents differently, like conference papers that were published in a journal.

The overall picture is mixed, and the management decision which tool to adopt will be based on other considerations, like the costs, additional functionalities and expected development of the different tools.

Socio-economic data & agricultural diversity research

16:00 - 16:15

Aggregating and analysing biophysical, socio-economics and sociocultural data to  identify indicators measuring  agricultural diversity research  impact on food security, rural poverty, health and nutrition, and natural resources management.

Elisabetta Gotor (Bioversity International), Elizabeth Arnaud (Bioversity International), Marie-Angelique Laporte ( Bioversity International), Gaia Gullotta (Bioversity International),Francesco Caracciolo ( University of Naples).

The aim of this presentation is to stimulate the exploration of  options on data standards, tools and methods available or needed to aggregate biophysical  data with socio economic and cultural  data in order to identifies a number of measurable indicators. Indeed, the CGIAR Research Programs (CRPs) require a set of indicators useful to guide and focus their agricultural research for development and thus, improve the adoption rate by communities of better-tailored  technologies. CRPs are multidisciplinary programmes that stimulate the collaboration across  the CGIAR centers and partners, grouped under a large set of  research themes and activities. The Programs, are in fact tied to outcomes at CGIAR System Level – Improved Food Security, Reduced Rural Poverty, Improved Health and Nutrition, and Sustainably Managed Natural Resources – in turn linked to the new Sustainable Development Goals (SDGs). This nested structured requires a number of indicators, particularly on socio-economic and cultural context of communities,  to monitor over different time steps the progress generated by different centres belonging to different  research programmes. There is a need to make the indicators actionable between the levels but currently there is no arithmetical relationships that would simplify the upscale. Once defined, indicators will be included in the protocols for field surveys done by the CGIAR. The use of indicators when data are collected will support producing robust data which can be compared to other studies. Additionally, data will be extracted from databases and literature.  Bioversity research focuses on conservation and use along the value chain of the agricultural biodiversity to meet challenges on food security, rural poverty, health and nutrition, and natural resources management. The following questions will specifically be dealt with:

1.      Why, when and where do we need socio economic and cultural data in agriculture?

2.      What data types exist in socio economics and cultural dataset?

3.      What are the interoperability issues related to linking  different dataset typologies (biophysical, socioeconomic and cultural data)?

The expected outcome of this presentation is to generate a dialogue around the existing standards and ontologies that can help to produce FAIR  socio economic data and current gaps, linking to existing ontologies for biophysical data like the Crop and Agronomy ontologies, with the Agricultural and Nutrition Ontology and others,  so that  data sets can be  consumable and shareable within and outside the CGIAR.

16:15 - 16:30

Questions on  Metrics and Indicators in Agricultural Science and Socio-economic data & agricultural diversity research

Geographic Data interoperability

16:30 - 16:45

Big data analysis and Integration of Geophysical information from the Catalan Agri-Technological sector

Andreas Kamilaris (IRTA Research&Technology, Food and Agriculture)

The intensification of agriculture in Catalunya creates serious concerns over its impact on the physical environment, in terms of deteriorating the air, soils as well as rivers and lakes. It is particularly important to quantify and understand this impact, in order to perceive overall implications and to develop effective strategies to mitigate its effects. In this presentation, I describe our efforts in combining geospatial information and big data analysis in order to measure the environmental impact of agriculture, with a focus on animal manure. The problems and issues of discovering, locating and understanding relevant datasets are discussed, together with suggestions on how data could become more open and easier to reach and understand.

16:45 - 16:50

Questions on Geographic Data interoperability

Research and Open Data Institutional Efforts

16:50 - 17:05

CGIAR’s Big Data Platform: Leveraging Data for Impact

Medha Devare (CGIAR, France)

CGIAR’s Big Data Platform aims to accelerate and enhance the impact of international agricultural research by enabling researchers to discover, analyze and visualize agricultural data on a large scale to generate rapid, actionable insights. A key aspiration is to build and nurture partnerships across CGIAR Centers and a variety of external partners to deliver effective data management, analytics and ICT-focused solutions to target geographies and communities. The platform encompasses three modules: Module 1 addresses the necessity to enable a culture that values data as a product in itself with global public good potential, and applies best practices to managing and making it widely available following FAIR (Findable, Accessible, Interoperable, Reusable) data principles. An infrastructure is also envisioned to harvest and make discoverable research resources from interoperable repositories and M+E platforms, coupled with tools for seamless analysis and visualization, leading to data-based decision support and foresight. Module 2 fosters collaboration and convening around big data and agricultural development via ambitious external partnerships to deliver the potential of big data to smallholder agriculture. Module 3 inspires big data approaches that deliver development outcomes through projects that solve key challenges. These may include projects that use big data analytics and ICTs to provide multi-disciplinary data to researchers, deliver novel information to farmers, monitor the state of agriculture and food security in real time and inform critical national, regional and global policies and decisions.

17:05 - 17:20

On the Track to Open Data for Agriculture: Jumping the Hurdles

Chris Rawlings (Rothamsted Research, United Kingdom)

Rothamsted Research has a long history of sharing its discoveries from agricultural science for public good and also creating economic value from its research. For at least 110 years, Rothamsted Research has been making research data publically available; adapting its sharing technologies to the mechanisms of the day and occasionally pioneering new ones. While describing some of the progress we are making to improve the openness of our data, I will highlight some of the bigger hurdles that will need to be removed before the adoption of truly open data practices are likely to be accepted and implemented by all. These hurdles include the resources available for data sharing, the research culture, the unrealistic economic value placed on data, the technical challenges and also issues arising from commercial and personal interest.

17:20 - 17:35

GODAN data ecosystem group and EC eROSA project: mapping data and stakeholders in Agricultural research,  model and first results

Johannes Keizer (GODAN secretariat strategic partnerships, eROSA project, Germany)

The GODAN data ecosystem group  and the eROSA project have as common goal the mapping of existing agricultural and nutrition data sources as one ingredient to develop information infrastructures. eROSA furthermore is intended to bring together the stakeholders in agricultural research infrastructure management.  The presentation at the IGAD pre-meeting will discuss the model that is used in the mapping exercise and will explain the Role of the CIARD RING in this exercise.  Furthermore it will present the results of a bibliometric study to identify stakeholders in agricultural research infrastructure development.

17:35 - 17:45

Questions on Research and Open Data Institutional Insides

On Farm Data Sharing

17:45 - 18:00

Towards a community-led e-infrastructure for sharing research microdata from socio-economic surveys. Challenges, solutions and issues identified at CIRAD.

Pascal Bonnet (CIRAD, France), Jean-Michel Sourisseau (UMR ArtDev, France), Cédric Gaillard (UMR Moisa, France), Laurence  Dedieu (CIRAD, France), Michel Passouant (UMR Tetis, France)

The movement for sharing and opening research data (SORD) is a push - pull process that combines a pushing demand from scientific publishers, donors, governments and the society with a renewed and pulling academic interest from research communities vis a vis their research data envisaged as “research commons”. Such communities expect that a SORD movement will lead to a research benefit and impact, thanks to the fostering of enhanced partnerships, the proper reuse of data and the adoption of data science methods. Nevertheless, in order to effectively join the international movement for sharing research data in Agriculture, one needs to analyze the peculiarities and the practices of epistemic research communities. The presentation will focus on some characteristics of the community in social and economic science. Barriers to share agricultural research data issued from economic surveys in developing countries are well known. They are of deontological, epistemological, organizational, technical and legal nature. Therefore solutions must be identified, compared and then put in place to address and overcome all these dimensions.

18:00 - 18:15

My vineyard as a Dataset

Pythagoras Karampiperis (AgroKnow, Greece)

The slot will be dedicated to VITIS, a toolkit for supporting Viticulture practice, which ranges from web-based environments for data management, and visualization to mobile apps (and sensors) for in-field data collection. The presentation will focus on the on-site mobile application that collects, processes and publishes viticultural data, following a semantic data model conformant with the requirements posed by the Data Type Model and Registry recommendation endorsed by RDA, and will discuss lessons learned from the application of relevant RDA recommendations (e.g. PIT) in the VITIS dataset sharing architecture.

18:15 - 18:30

Wrap up and Closure of the day

Details about the 2nd Pre-Meeting Day

4th April 2017

Time

Session

08:30 - 08:45

Introducing the 2nd Pre-Meeting Day (Room: Conference Hall, “Sala de actos”, basement -1 floor)

08:45 - 11:00

Discussion Groups (coffee available from 11:00)

• AgriSemantics (4th floor, Room 4F1)

• Rice Data, Wheat Data Interoperability and other crop Research Data (2nd floor, Room 206)

• Soil Data Interoperability (4th floor, Room 4F3)

• On-Farm Data Sharing (4th floor, Room 4F4)

• Metrics and indicators in agricultural science (Ground floor, Room 022)

• Climate/Weather Data (Ground floor, Room 013)

• Capacity development in the context of research data in agriculture (4th floor, Room 4F2)

• CGIAR Data Management Task Force (1st floor, Room 107)

13:30 - 14:30

Lunch

14:30 - 16:00

Discussion Groups (coffee available from 15:00)

• AgriSemantics (4th floor, Room 4F1)

• Rice Data, Wheat Data Interoperability and other crop Research Data (2nd floor, Room 206)

• Soil Data Interoperability (4th floor, Room 4F3)

• On-Farm Data Sharing  (4th floor, Room 4F4)

• Metrics and indicators in agricultural science (Ground floor, Room 022)

• Climate/Weather Data  (Ground floor, Room 013)

• Capacity development in the context of research data in agriculture (4th floor, Room 4F2)

• CGIAR Data Management Task Force (1st floor, Room 107)

16:00 - 17:30

Plenary session and reports by the Discussion Group Chairs

Closure of the Pre-meeting and moving to the RDA Plenary Meeting Session

               Wednesday 5 March, from 11:00 to 12:30