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Authors: Christine Staiger 


Introduction to Persistent Identifiers

Module also available as self-study material in data carpentry style

Scientific topics: Data management

Keywords: system relevant metadata for data, PID metadata, Python API pyhandle, Persistent Identifiers

Resource type: course materials

Introduction to Persistent Identifiers https://tess.elixir-europe.org/materials/introduction-to-persistent-identifiers Module also available as self-study material in data carpentry style Data management system relevant metadata for data, PID metadata, Python API pyhandle, Persistent Identifiers data stewards data managers bioinformaticians
Helis Academy - Persistent identifiers and their use cases

Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source

Keywords: Referencing data and code, Findability of data and code, Identifying data and code

Resource type: Slides

Helis Academy - Persistent identifiers and their use cases https://tess.elixir-europe.org/materials/persistent-identifiers-and-their-use-cases Managing increasing numbers of data objects Sharing data from different sourcesamongst researchers Data needs to be (globally) identifiable and addressable to ensure reuse of data Data citation Linking data from different source Referencing data and code, Findability of data and code, Identifying data and code data stewards Life Science Researchers bioinformaticians
Helis Academy - Data Sharing, publishing and archiving

Basic knowledge of: o Know what a repository is o Characteristics of Data Sharing, Archiving and Publishing o Knowledge of major platforms for Sharing, Archiving and Publishing Hands on experience: o Dataverse possibilities for sharing and publishing o Designing requirements digital...

Keywords: data sharing, Data publishing, data archiving, data repositories

Resource type: Slides

Helis Academy - Data Sharing, publishing and archiving https://tess.elixir-europe.org/materials/data-sharing-publishing-and-archiving Basic knowledge of: o Know what a repository is o Characteristics of Data Sharing, Archiving and Publishing o Knowledge of major platforms for Sharing, Archiving and Publishing Hands on experience: o Dataverse possibilities for sharing and publishing o Designing requirements digital archives o Finding your ideal archive data sharing, Data publishing, data archiving, data repositories
Introduction to FAIR data stewardship

FAIR data Stewardship: How to improve the reuse of nanosafety data

Scientific topics: Data management

Keywords: FAIR

Introduction to FAIR data stewardship https://tess.elixir-europe.org/materials/introduction-to-fair-data-stewardship FAIR data Stewardship: How to improve the reuse of nanosafety data Data management FAIR Life Science Researchers
FAIR Data Stewardship - Data sharing, archiving and publishing

The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities...

Keywords: Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication

Resource type: Slides, Training materials

FAIR Data Stewardship - Data sharing, archiving and publishing https://tess.elixir-europe.org/materials/fair-data-stewardship-data-sharing-archiving-and-publishing The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities towards data are distributed. The course does not require any prior knowledge. Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication General Interest Scientists Researchers data stewards