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Pr&#233;sentationUne journ&#233;e de formation &#224; l&#8217;utilisation de la plateforme nodegoat est organis&#233;e au sein du laboratoire SPH&#232;re. Nodegoat est un outil de cr&#233;ation de bases de donn&#233;es, d&#8217;analyse de r&#233;seaux et de visualisation en ligne particuli&#232;rement adapt&#233; &#224; la recherche en sciences humaines, et plus particuli&#232;rement aux recherches historiques. Nodegoat est d&#233;velopp&#233; par Pim van Bree et Geert Kessels (LAB 1100), qui assureront cette formation. www.nodegoat.netCette journ&#233;e vise &#224; l&#8217;initiation &#224; cet outil digital pour tout chercheur, sur base d&#8217;exercices pratiques. Certaines fonctionnalit&#233;s plus avanc&#233;es de nodegoat seront abord&#233;es en fin de journ&#233;e (voir programme ci-dessous). Les participants poss&#233;dant d&#233;j&#224; une base de donn&#233;es ou ayant un projet de base de donn&#233;es sont vivement invit&#233;s &#224; pr&#233;senter leurs recherches au cours de la rencontre &#171; Donn&#233;es et r&#233;seaux ; genre et sciences&#187; qui aura lieu la veille , afin de pouvoir faire des exercices &#224; partir de leurs donn&#233;es et de leurs projets. Veuillez noter que la langue de la formation est l&#8217;anglais.InscriptionL&#8217;inscription est gratuite mais obligatoire (20 participants maximum).&#160;erman.conferences@gmail.comProgramme09.30 Welcome09.45 Databases in the humanities: challenges and opportunities10.30 Learn how to enter data into nodegoat.Hands on tutorial on how to enter data into a data model in nodegoat.11.15 Learn how to build a data model in nodegoat (individual/groups)Hands on tutorial on how to create a data model in nodegoat. Next, participants may form groups orwork individually to create a project in nodegoat, based on the data model they have conceptualised.13.30 Lunch14.30 Enter data into your own data model (individual/groups)Once the data model is ready, data can be entered into nodegoat to produce geographic and social network visualisations.15.00 Presentation of resultsEach project will be presented to discuss its strengths, weaknesses and consequences (in terms of feasibility/workload).15:45 Break16:00 Filter, scope, and visualisations16:30 Linked dataA brief introduction on the principles behind Linked Data and how this can be used to make datasets interoperable.16.45 Q&#38;A, final remarks17.30 End of workshopPresentationThe lab SPH&#232;re organises a one-day workshop on the use of nodegoat. Nodegoat is a web-based data management, network analysis &#38; visualisation environment. It is particularly suitable for research in the humanities and especially historical research. Nodegoat is developped by Pim van Bree and Geert Kessels (LAB 1100), who will teach during the workshop.This workshop will allow participants to learn how to use nodegoat through hands-on exercises. The end of the afternoon will be devoted to specific and advanced features of nodegoat (see program below). All participants who already have a database or a project which requires the development of a database are strongly invited to present their research the day before, during the &#8216;Rencontre &#171; Donn&#233;es et r&#233;seaux ; genre et sciences&#187;&#8217; (16/01/2017). This will allow for exercises based on the participants&#8217; own data and projects. Please note that the workshop will be taught in English.RegistrationRegistration is free but compulsory (20 participants max).&#160;erman.conferences@gmail.comProgram09.30 Welcome09.45 Databases in the humanities: challenges and opportunities10.30 Learn how to enter data into nodegoat.Hands on tutorial on how to enter data into a data model in nodegoat.11.15 Learn how to build a data model in nodegoat (individual/groups)Hands on tutorial on how to create a data model in nodegoat. Next, participants may form groups orwork individually to create a project in nodegoat, based on the data model they have conceptualised.13.30 Lunch14.30 Enter data into your own data model (individual/groups)Once the data model is ready, data can be entered into nodegoat to produce geographic and social network visualisations.15.00 Presentation of resultsEach project will be presented to discuss its strengths, weaknesses and consequences (in terms of feasibility/workload).15:45 Break16:00 Filter, scope, and visualisations16:30 Linked dataA brief introduction on the principles behind Linked Data and how this can be used to make datasets interoperable.16.45 Q&#38;A, final remarks17.30 End of workshop