![]() how to use the tool DMPonline UNIL two interactive tool designed to help in the (co-)writing, editing and sharing of DMPs. anticipate in detail the management of research data, specifying how this data is going to be analysed, organised, stored, secured and shared. respond to the requirements of the journals and financing agencies which require shared standards for open practices in research Zbinden Cours (optionnel)Īt the end of the course participant should be able to put in place a DMP and to share their published data in Open Access, making possible to: The course “Data Management Plan & Open Data in Life Science” – ED 43/Série 1 Prochaine(s) session(s) en français (dias et questions possibles en anglais) Le nombre de participant pour les workshops pratiques est limité à 8 (maximum of 8 participants for practical workshops). Il-elle-s seront également initié-e-s à l’utilisation des licences Creative Commons utiles afin de protéger leurs droits d’auteur-e-s. Les chercheur-euse-s seront initié-e-s grâce à des exercices pratiques à l’utilisation de bases de données telle que Zenodo, afin de déposer leurs sets de données accompagnant leurs publications, mais aussi pour rechercher et télécharger les données de collègues qui pourraient leur être utiles. Il-elle-s découvriront aussi en pratique l’importance des métadonnées, c’est-à-dire les informations devant accompagner leurs données de recherche afin que ces dernières soient compréhensibles et ré-utilisables, ainsi que les différents formats conseillés pour le partage et l’accès à long terme de chacun des types de données qu’il-elle-s créent. Il-elle-s seront informé-e-s également sur les enjeux accompagnant le partage des données associées aux publications et les bénéfices pour eux-elles, mais aussi pour la communauté scientifiques en général, qui en découlent. To register, please contact us by e-mail: pratiques: Open Data – Publier les sets de données de recherche accompagnant la publication – améliorer la visibilité et reproductibilité de ses travaux.Īu cours de cette formation, les chercheur-euse-s seront informé-e-s sur les directives en cours Open Data des futures des maisons d’édition et des agences de financement.Responsable(s) and teacher: Cécile Lebrand, PhD.This training is open to all UNIL and CHUV researchers applying to the SNSF for a basic or clinical research project. Linkĭuring this training, the participants will be help for completing the major DMP fields of their grant application on mySNF using the UNIL DMP online tool: ![]() This workshop in English is a practical training to help researchers from the FBM UNIL and CHUV to fill their Data Management Plan (DMP), a compulsory evolutive document required by the SNSF when applying for a subside for a research project. Trainings concerning these aspects in French or English are provided by our service on demand Data Management Plan (DMP) accompanying a research project grant application from the SNFS Our unit is well aware of metadata standards for datasets, file formats for long term datasets storage and re-use, data copyright, licenses and self-archiving rules and will help you in addressing these issues. We will give you support to find an adapted data repository to meet founding agencies and journal requirements for publishing research data underlying your publication and to ascertain policies on confidentiality and intellectual property. We can provide you with guidance on how to prepare a Data Management Plan and how share your data through journal publications and selected repositories to increase the visibility of your work. Through the process of data life cycle management, the BiUM publication management service is providing information, advice and help to researchers for publishing and sharing their data. Tools and services for research data management (DMP and ORD) The BiUM publication management service is providing information and help to researchers at multiple steps of data life cycle management (in green), such as DMP preparation, standards reporting, annotating metadata, formats & standarts files preparation, licencing, publishing, sharing and preserving. Modified figure CC-BY Kramer, Bianca Bosman, Jeroen (2015) and CC-BY Liz Lyon (2015). preserve and archive your data to re-use them in the future.process, visualize and analyse your data.store and secure (backup plan) your data.It should describe: the dataset, standards and metadata, data sharing, archiving and preservation. A DMP is an evolving document reporting how the collected or generated research data will be managed during and after a research project. It is important to manage your datasets as soon as your research project is starting, as well as ensuring that your research data can be used, shared and re-used effectively by you and other researchers during the whole data life cycle.
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