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📑 Das SZF #Forschungsdatenmanagement #FDM der @tuberlin bietet jetzt einen Forschungsdaten-Policy-Generator an. Das Tool generiert Textbausteine, die individuell angepasst und für eine Forschungsdaten-Policy verwendet werden können. Eine Nutzung ist auch über die TU hinaus durch Login per @ORCID_Org möglich 😎 Der Fragenkatalog wurde im Rahmen des Projekts #FDNext mit Förderung der @dfg_public erstellt. Das Tool basiert auf der #OpenSourceSoftware #RDMO #RDM @rdmo

👉 fdpolicygen.tu-berlin.de

The online #workshop "#RDM for (bio-)medical sciences: data management plans" on May 15 builds upon the lecture "introduction to research data management for medical and biomedical sciences" in December 2023. The workshop focuses on Data Management Plans (DMPs) and discipline-specific characteristics in medical and biomedical fields.

👉 Further information: ub.uni-muenchen.de/kurse/wisse

www.ub.uni-muenchen.deRDM for (Bio-) Medical Sciences: Data Management Plans - Universitätsbibliothek der LMU - LMU München
ZenodoMetadata crosswalks for software management plans at NFDI4DS hackathon maSMP 2023Software Management Plans (SMPs) help formalize a set of structures and goals that ensure the research software is accessible and reusable in the short, medium and long term. Although not as common as the Data Management Plans, SMPs are gaining attention, with different communities providing examples and guidance on around it (e.g., ELIXIR SMPs, eScience Center in the Netherlands SMP Guidance and the Max Plank Digital Libraries SMP).Machine-actionable SMPs (maSMPs) aim at providing a semantic layer on top of SMPs in the form of metadata schemas. Based on the ELIXIR SMPs and inspired by the work done on the Research Data Alliance (RDA) machine-actionable Data Management Plan (maDMP) application profile, the SemTec team at ZB MED has created an maSMP metadata schema using schema.org as base vocabulary. The latest version of such maSMP metadata schema takes advantage of the crosswalks created at the NFDI4DS hackathon on maSMPs 2023.11.28 to 2023-12-01 organized by the SemTec team at ZB MED. The crosswalks data corresponding to Max Plank Digital Library SMP, ELIXIR SMPs, and DataCite Metadata Schema 4.4 - OutputManagementPlan are included in this dataset collection. The files in the dataset collection are:"2023.11.29 maSMP crosswalk - NFDI4DS hackathon - Software.csv" - Crosswalk from the maSMP vr 2.0.0 to the Max Plank Digital Library SMP, SOMEF, and ELIXIR SMPs"2023.11.29 maSMP crosswalk - NFDI4DS hackathon - MngPlan.csv" - Crosswalk from the maSMP to DataCite Metadata Schema 4.4 - OutputManagementPlan and the Max Plank Digital Library SMP"2023.11.29 maSMP crosswalk - NFDI4DS hackathon - RDMO-SMP.csv" - Crosswalk from the Max Plank Digital Library SMP to metadata properties from different vocabularies"Tables description.png" - Image showing a crosswalk templateWe acknowledge the feedback provided by other participants in the NFDI4DS hackathon on maSMPs (Esteban Gonzalez ORCID:0000-0003-4112-6825, Yves Vincent Grossmann ORCID:0000-0002-2880-8947, Carlos Utrilla Guerrero ORCID:0000-0002-9994-1462, Mariaisabel Gonzalez-Ocanto ORCID:0000-0001-5485-9724,Thomas Pronk ORCID:0000-0001-9334-7190, David Wallace ORCID:0000-0001-8958-4601, Jürgen Windeck ORCID:0000-0003-1909-4353).The maSMP project is part of the NFDI4DataScience project funded by the German Research Foundation (DFG), project number 460234259. This dataset was created during the NFDI4DS hackathon on maSMPs at ZB MED 2023. 

We have written a template for a #software management plan. The aim is to make #researchsoftware more sustainable. The questionnaire is for the #RDMO software github.com/rdmorganiser/rdmo-c (actually for writing #DMP). We welcome re-use and feedback. If you would like to test the SMP with us, please contact us via rdmo@mpdl.mpg.de #MaxPlanck #MPDL

GitHubGitHub - rdmorganiser/rdmo-catalogContribute to rdmorganiser/rdmo-catalog development by creating an account on GitHub.