#datalifecycle — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datalifecycle, aggregated by home.social.
-
Research data have a lifecycle — and every stage matters.
🔄 Plan → Collect → Process → Analyze → Preserve → Share → Reuse
Generally one thinks first about the "Analyze" part. But how you plan, document, and store your data determines whether anyone (including future you) can ever use it again.
👉 https://forschungsdaten.info/themen/informieren-und-planen/was-ist-forschungsdatenmanagement/
-
Research data have a lifecycle — and every stage matters.
🔄 Plan → Collect → Process → Analyze → Preserve → Share → Reuse
Generally one thinks first about the "Analyze" part. But how you plan, document, and store your data determines whether anyone (including future you) can ever use it again.
👉 https://forschungsdaten.info/themen/informieren-und-planen/was-ist-forschungsdatenmanagement/
-
Research data have a lifecycle — and every stage matters.
🔄 Plan → Collect → Process → Analyze → Preserve → Share → Reuse
Generally one thinks first about the "Analyze" part. But how you plan, document, and store your data determines whether anyone (including future you) can ever use it again.
👉 https://forschungsdaten.info/themen/informieren-und-planen/was-ist-forschungsdatenmanagement/
-
Research data have a lifecycle — and every stage matters.
🔄 Plan → Collect → Process → Analyze → Preserve → Share → Reuse
Generally one thinks first about the "Analyze" part. But how you plan, document, and store your data determines whether anyone (including future you) can ever use it again.
👉 https://forschungsdaten.info/themen/informieren-und-planen/was-ist-forschungsdatenmanagement/
-
Research data have a lifecycle — and every stage matters.
🔄 Plan → Collect → Process → Analyze → Preserve → Share → Reuse
Generally one thinks first about the "Analyze" part. But how you plan, document, and store your data determines whether anyone (including future you) can ever use it again.
👉 https://forschungsdaten.info/themen/informieren-und-planen/was-ist-forschungsdatenmanagement/
-
📄 New Manuscript published
"Collaborative creation and management of rich FAIR metadata: Two case studies from robotics field research", by Christian Backe, Veit Briken, Atefeh Gooran Orimi, Rayen Hamlaoui, Malte Wirkus, Bilal Wehbe, and Frank Kirchner
🔗 https://www.inggrid.org/article/id/4296/
#ResearchDataManagement #DataLifecycle #Metadata #FieldData #FAIR #Robotics
-
📄 New Manuscript published
"Collaborative creation and management of rich FAIR metadata: Two case studies from robotics field research", by Christian Backe, Veit Briken, Atefeh Gooran Orimi, Rayen Hamlaoui, Malte Wirkus, Bilal Wehbe, and Frank Kirchner
🔗 https://www.inggrid.org/article/id/4296/
#ResearchDataManagement #DataLifecycle #Metadata #FieldData #FAIR #Robotics
-
📄 New Manuscript published
"Collaborative creation and management of rich FAIR metadata: Two case studies from robotics field research", by Christian Backe, Veit Briken, Atefeh Gooran Orimi, Rayen Hamlaoui, Malte Wirkus, Bilal Wehbe, and Frank Kirchner
🔗 https://www.inggrid.org/article/id/4296/
#ResearchDataManagement #DataLifecycle #Metadata #FieldData #FAIR #Robotics
-
📄 New Manuscript published
"Collaborative creation and management of rich FAIR metadata: Two case studies from robotics field research", by Christian Backe, Veit Briken, Atefeh Gooran Orimi, Rayen Hamlaoui, Malte Wirkus, Bilal Wehbe, and Frank Kirchner
🔗 https://www.inggrid.org/article/id/4296/
#ResearchDataManagement #DataLifecycle #Metadata #FieldData #FAIR #Robotics
-
📄 New Manuscript published
"Collaborative creation and management of rich FAIR metadata: Two case studies from robotics field research", by Christian Backe, Veit Briken, Atefeh Gooran Orimi, Rayen Hamlaoui, Malte Wirkus, Bilal Wehbe, and Frank Kirchner
🔗 https://www.inggrid.org/article/id/4296/
#ResearchDataManagement #DataLifecycle #Metadata #FieldData #FAIR #Robotics
-
New preprint available: h5RDMtoolbox - A Python Toolbox for FAIR Data Management around HDF5.
"This paper presents an open-source package, called h5RDMtoolbox, written in Python helping to quickly implement and maintain FAIR research data management along the entire data lifecycle using HDF5 as the core file format"