
Background information Adaption of two Data Management Plan (DMP) Knowledge Models and one export template developed in the project Data Management Plans: Support package for Norwegian higher education libraries (2023-2024), a collaboration between the University of Bergen, The Norwegian University of Science and Technology, the University of Oslo, UiT The Arctic University of Norway, PhD-On-Track and ELIXIR Norway.The Knowledge Models are to be used with the Open Source DMP tool Data Stewardship Wizard.Accompanying information resources to the Knowledge Models are available under: https://plan.research-data.no. Description Norwegian DSW Knowledge Model ID: elixir.no:dsw-km-no-localization:1.0.0 Version: 1.0.0 Metamodel: 16Domain-agnostic Knowledge Model developed as deliverable in the project Data Management Plans: Support package for Norwegian higher education libraries (2023-2024, supported by the National Library of Norway). Adapted from the ELIXIR Norway Life Science DSW Knowledge Model originated from mindmap made by Rob Hooft. Parts of the considerations under 'List software/computational models/simulations that you will generate' are re-used from the Elixir Software Management Plan CC-BY 4.0 Question-specific guidance links to: https://plan.research-data.no/pages/support_00_start_writing Project phases: Initial, Midway, Complete Question tags can be combined in a modular way: Minimum: Questionnaire for less complex projects without personal/sensitive data, external partners, or external funding RCN/ Science Europe: Comprehensive questionnaire according to the RCN/ Science Europe recommendations (if combined with ELSI) ELSI: Additional questions for projects with ethical, legal, societal implications HPC: Additional questions for computationally demanding projects Additional question tags that can be used to customize project templates: umbrella DMP: Selection of questions for umbrella DMPs cross institutional project: Questions with relevance for projects involving external partners maDMP: Questions mapping to RDA Common Standard for machine-actionable DMPs (for internal use) IT security: Questions with relevance for information security (for internal use) Horizon Europe: Questions with relevance for Horizon Europe DMP guidance (for internal use) Norwegian Pre-project DSW Knowledge Model ID: elixir.no:dsw-km-no-localization-preproject:1.0.0 Version: 1.0.0 Metamodel: 16 Knowledge Model for pre-project/ pre-award considerations developed in the project Data Management Plans: Support package for Norwegian higher education libraries (2023-2024, supported by the National Library of Norway) Questionnaire Report - reduced ID: elixir.no:questionnaire-report-reduced:2.13.1 Version: 2.13.1 Metamodel: 15Fork of the generic default template for Data Stewardship Wizard (DSW) that directly transforms answers from a questionnaire into a document while maintaining the structure. It is not tied to any knowledge model. This is a version for a reduced output for leaner documents.
FAIR Data, Data Management/methods, maDMP, Open Data, Data Management Plan, DMP, Research Library, Research Support, Data Management Planning, Data Management
FAIR Data, Data Management/methods, maDMP, Open Data, Data Management Plan, DMP, Research Library, Research Support, Data Management Planning, Data Management
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
