Fare ricerca con i dati dell’agricoltura e non solo.
Fare ricerca con i dati dell’agricoltura e non solo.
Metodi di lavoro e soluzioni all’interno della comunità di RDA
Il nodo italiano di RDA, nell’ambito del progetto europeo RDA Europe 4.0, organizza un workshop interattivo dedicato alla condivisione dei dati della ricerca in molte delle sue sfaccettature: dalla rilevazione di problematiche diffuse, al metodo di approccio all’interno della comunità internazionale di RDA, fino alla condivisione di soluzioni, anche in altri ambiti.
Registrazione (obbligatoria): https://forms.gle/YnQXtqf1Q1EF3C31A
Data e Ora: 27 Gennaio 2020, 10:30-17:00
Location: Pisa, Domus Comeliana, Via Cardinale Pietro Maffi 48
Qui il programma
Obiettivi
Il workshop è dedicato al lavoro svolto sulla condivisione dei dati in agricoltura, mostrando approcci e soluzioni che potrebbero risultare utili anche per altri gruppi di ricerca. Attraverso gli interventi selezionati sarà esposto il metodo di lavoro di RDA. L’intenzione è di raggiungere ricercatori che possono beneficiare del metodo di lavoro di RDA, incrociando esperti di altri settori attivi nella ricerca di soluzioni prodotte dall’apertura e la condivisione dei dati.
A chi si rivolge
Il workshop ha un filo conduttore tematico - i dati in agricoltura - ma ha anche un taglio interdisciplinare, volto a mostrare la possibilità di trovare soluzioni di condivisione dei dati valide anche in settori differenti. Oltre alle principali sfide e soluzioni affrontate in alcuni gruppi dedicati all’agricoltura, saranno esposti casi d’uso di risultati prodotti in RDA. L'evento è rivolto a docenti, ricercatori, tecnologi e studenti di dottorato che si occupano di agricoltura o settori ad essa collegati.
Esiti attesi
Per incentivare lo scambio tra le comunità di ricercatori impegnate in discipline o progetti in vario modo afferenti all'agricoltura, il workshop prevede un apposito panel di discussione e confronto tra relatori e partecipanti. L’intenzione è quella di far emergere eventuali problematiche o sfide ancora aperte legate alla condivisione dei dati, che potrebbero essere affrontate con il metodo di lavoro di RDA, o che potrebbero portare ad adottare soluzioni già elaborate in altri contesti, facilitando la condivisione e lo scambio di conoscenza sia a livello interdisciplinare che a livello internazionale.
Struttura del workshop e informazioni pratiche
Gli interventi saranno tenuti da relatori sia italiani sia internazionali. Il workshop si terrà il 27 gennaio a Pisa, presso la Domus Comeliana in via Cardinale Pietro Maffi 48, dalle 10.30 alle 17.00.
La partecipazione è gratuita ma per motivi organizzativi è necessario iscriversi all’evento: https://forms.gle/YnQXtqf1Q1EF3C31A.
Abstract e slides degli interventi:
- Open science and data sharing: setting the scene - Emma Lazzeri, CNR, Italian node coordinator.
Research is more and more data-centred and the culture of opening research data is under construction. This presentation will set the scene for the workshop discussion, by introducing Open Science and Open Data general aspects, motivations and scope.
- The Research Data Alliance: a recipe for data sharing problem solving - Sara Garavelli, Trust-IT, RDA Europe 4.0 Coordinator.
The Research Data Alliance (rd-alliance.org) is an international community driven initiative building the social and technical bridges to enable the open sharing and re-use of research data. RDA has a grass-roots, inclusive approach covering all data lifecycle stages, engaging data producers, users and stewards, addressing data exchange, processing, and storage. It has succeeded in creating the neutral social platform where international research data experts meet to exchange views and to agree on topics including social hurdles on data sharing, education and training challenges, data management plans and certification of data repositories, disciplinary and interdisciplinary interoperability, as well as technological aspects.
The RDA Europe 4.0 project is mandated to ensure that European political, research, industrial and digital infrastructure stakeholders are aware of, engaged with and actively involved in the global RDA activities and that the RDA provides a neutral forum for discussing and agreeing relevant technical standards for the implementation of the EOSC. In addition, RDA supports the communication and dissemination of EOSC developments across the globe.
- The RDA Interest Group on Agriculture Data: methods and results - Imma Subirats Coll, Food and Agriculture Organization of the United Nations, RDA Agricultural Data Interest Group co-chair.
Agricultural sciences include methods from different disciplines used to generate data to solve problems related to food, nutrition and rural life. As part of these methodologies, data integration is an integral part of this enterprise. New opportunities, like digitisation and machine actionable knowledge organisation, offer new ways to work that were not conceivable for past generations of researchers. Shared vocabularies and other standards for knowledge representation are critical in reducing the effort required to integrate data. Communities working on specific issues can benefit from it, but first research communities need to develop new ways of working and cooperating.
There are various initiatives amongst agricultural researchers and knowledge workers to form the social foundations for these new ways of collaboration. Such initiatives have as a result community recommendations on how to use existing standards for a particular topic. Formed in 2013, the Interest Group on Agricultural Data (IGAD) at the Research Data Alliance (RDA) represents stakeholders in managing data for agricultural research and innovation, including producing, aggregating and consuming data. IGAD hosts different working groups based on themes like wheat data, other crops, soil data, AgriSemantics, and indicators for scientific and societal impact in agriculture.
- Wheat data interoperability working group highlights - Esther Dzale Yeumo, Inrae, co-chair of Wheat Data interoperability Working Group.
The Research Data Alliance (RDA) Wheat Data Interoperability (WDI) working group is a joint effort of the wheat research community, along with data and ontology experts, to develop wheat data interoperability guidelines. During a period of more than 18 months, the RDA Wheat Data Interoperability Working Group (WDI-WG) surveyed the wheat research community about the use of data standards, then discussed and selected a set of recommendations based on consensual criteria. The recommendations promote standards for data types identified by the wheat research community as the most important for the coming years: nucleotide sequence variants, genome annotations, phenotypes, germplasm data, gene expression experiments, and physical maps. For each of these data types, the guidelines recommend best practices in terms of use of data formats, metadata standards and ontologies. In addition to the best practices, the guidelines provide examples of tools and implementations that are likely to facilitate the adoption of the recommendations. The goal of this talk is to present the recommendations issued by the WDI working group, the state of their adoption to date, and the modalities of their maintenance.
- RDA Agrisemantics Working Group outputs: an example of how RDA works - Caterina Caracciolo, Agrisemantics WG co-chair, and RDA EU ambassador for agriculture.
The RDA Agrisemantics Working Group gathered together researchers and practitioners active at the interface between data and information management and agriculture, and with a common interest in using semantics as a tool to enhance the interoperability of agricultural data. Goal of the group was to produce a set of recommendations aimed at facilitating the use of semantics for that purpose. In this talk I will introduce the Agrisemantics WG, its demographics and activities, present the output of the group, and discuss its adoption within and outside the RDA community.
- RDA adoption story: implementing RDA outputs - Ferdinando Villa, BC3 and RDA results adopter.
The k.LAB technology is a software stack that serves as the reference implementation for semantic modelling, a process that allows describing a modelled reality in purely logical terms and independently developing model and data contents that can "incarnate" the semantics into contextualized observations or computations. The resulting models and data can be stored on network servers to build a semantic web of scientific observations and models. I will discuss the use of controlled vocabularies, and specifically of RDA Agrisemantics outputs, to enable an automated pathway from a conceptual user query to a scientific artefact describing a stated concept in a context of choice. The process allows users to run sophisticated models from simple web interfaces, and modellers to efficiently reuse, publish, share and integrate the data and models resulting from their work.
- Geospatial and Big Data IGs: problems, approaches and adoptions in RDA - Peter Baumann, Jacobs University, Geospatial and Big Data co-chair.
This presentation is aimed at showing the inter-disciplinary work method within the Research Data Alliance and the possibility of collaborations between different domains. Both Geospatial and Big Data IGs work in close collaboration with different RDA groups and a particular effort is made to achieve cross-domain reuse of their results. The practical application in agriculture of some of their result will be showcased. RDA focuses not only on handling specific data sharing problems but also on creating platforms and networks where international data experts meet to exchange views and possible solutions.
Comitato scientifico
- Emma Lazzeri, CNR, Coordinatore nodo italiano RDA
- Gina Pavone, CNR, Responsabile nodo italiano RDA
- Caterina Caracciolo, Agrisemantics WG co-chair and RDA Eu ambassador for agriculture
- Imma Subirats Coll, Food and Agriculture Organization of the United Nations, RDA Agricultural Data Interest Group co-chair.
----------- ENGLISH VERSION -------------
Doing research with agriculture data and beyond.
Working methods and solutions within Research Data Alliance community
Registration (Mandatory): https://forms.gle/YnQXtqf1Q1EF3C31A
Date and time: 27 January 2020, 10:30-17:00
Location: Pisa, Domus Comeliana, Via Cardinale Pietro Maffi 48, Pisa
Agenda of the event
Scope
The event is dedicated to experts in the Agriculture field that may not know the Research Data Alliance network, how they can benefit from it, and improve their research by meeting experts in different domains working on ways to enable open sharing of data.
An open and interactive discussion session at the end of the workshop aims at proposing new topics for discussion within existing or new Interest and Working Groups in RDA.
The workshop will welcome professors, researchers, technologists and PhD students working in the agriculture and related fields.
Concept
After a brief introduction to set the scene, RDA will be presented. Then the results obtained by groups working on agriculture will be showcased, with a particular focus on use cases of those results. To this purpose, a case of concrete adoption of RDA output will be presented. In order to underline the possible cross-discipline applications of RDA results, a non-agriculture RDA group will be introduced.
Scientific Committee of the Workshop:
- Emma Lazzeri, CNR, Italian RDA Node coordinator
- Gina Pavone, CNR, Italian RDA Node responsible
- Caterina Caracciolo, Agrisemantics WG co-chair and RDA Eu ambassador for agriculture
- Imma Subirats Coll, Food and Agriculture Organization of the United Nations, RDA Agricultural Data Interest Group co-chair