{"id":1032,"date":"2024-09-10T20:26:42","date_gmt":"2024-09-10T18:26:42","guid":{"rendered":"https:\/\/wp.unil.ch\/dsbu\/?page_id=1032"},"modified":"2025-02-09T22:56:08","modified_gmt":"2025-02-09T21:56:08","slug":"dmp-online","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/dsbu\/dmp-online\/","title":{"rendered":"DMP online"},"content":{"rendered":"\n

UNIL is making available an interactive online tool for writing a Data Management Plan (DMP)<\/strong> in a collaborative way and to request a review from our service.<\/p>\n\n\n\n

DMP description<\/h2>\n\n\n\n
Detail<\/summary>\n

A DMP is a crucial document in research projects that outlines how data will be managed throughout its entire life cycle. The aim of a DMP is to provide a structured approach to ensure that data is effectively collected, processed, stored, shared, and preserved in a way that promotes data quality, accessibility, and long-term usability. By creating and following a well-structured Data Management Plan, researchers can enhance the quality of their research, facilitate collaboration, comply with funding agency requirements, and ensure the long-term value and accessibility of their data.<\/p>\n\n\n\n

Key components of a Data Management Plan typically include:<\/strong><\/h5>\n\n\n\n

Data Description:<\/em><\/strong> A detailed description of the data to be collected or generated, including its format, structure, and potential volume.
Data Collection:<\/em><\/strong> Information about how the data will be collected, including methodologies, instruments, and tools.
Data Documentation:<\/em><\/strong> Plans for documenting the data, such as metadata standards, data dictionaries, and annotations, to ensure that others can understand and use the data.
Data Organization and Storage:<\/strong> <\/em>Details about how the data will be organized, named, and stored during the project. This may involve considerations of file formats, folder structures, and storage locations.
Data Sharing and Access:<\/em><\/strong> Plans for making the data accessible to others, which might involve repositories, embargo periods, access controls, and licensing arrangements.
Data Preservation and Archiving:<\/em> <\/strong>Strategies for preserving the data beyond the project\u2019s completion, including considerations of data formats, storage options, and potential repositories or archives.
Data Security and Ethics:<\/em> <\/strong>Measures to ensure data security and ethical handling, such as anonymization, encryption, and compliance with relevant regulations or standards.
Roles and Responsibilities:<\/em> <\/strong>Clearly defined roles and responsibilities for individuals involved in data management, including researchers, collaborators, and data stewards.
Budget and Resources:<\/em> <\/strong>Allocation of resources, both financial and human, needed for effective data management throughout the project.
Data Disposal<\/strong>:<\/em> Plans for the secure disposal or retention of data, taking into account legal and ethical considerations.
Data Management Training:<\/strong><\/em> Details about any training that will be provided to researchers to ensure they understand and follow proper data management practices.<\/p>\n<\/details>\n\n\n\n

Template<\/h2>\n\n\n\n

The BiUM templates for FBM UNIL- CHUV are aiming to help you generate Data Management Plans for SNSF funded projects<\/strong>. A web form composed of four sections guides the user through the definition of the requirements for the management of your project data. The produced document is compliant with the SNSF instructions for DMP creation<\/a> and consists of generic paragraphs corresponding to the user\u2019s inputs. The produced document structure follows the structure of the SNSF DMP questionnaire.<\/p>\n\n\n\n

Two DMP templates in English for SNF funding applications<\/strong> are available for UNIL and CHUV researchers of the Faculty of Biology and Medicine:<\/p>\n\n\n\n