Reiter
About this training
Introduction to Research Data Management
Scientists collect ever-increasing amounts of data that have to be stored, interpreted and shared. Furthermore, funding agencies, journals and academic institutions regularly issue new guidelines and policies regarding data management. As a result, successful research data management has become both a key skill and a major challenge for many scientists. In this workshop, experts from ETH Zurich Scientific IT Services will provide an overview of best practices and tools for the daily management of data during the lifetime of a research project. In particular, the course introduces tools to manage primary data, notes, inventories and code in order to keep track of information from the acquisition to the final publication of results. Finally, the open source tool openBIS (https://labnotebook.ch/) is presented as an example of a comprehensive data management system for research groups in quantitative domains.
Topics to be covered include:
Target group
The course addresses scientists with experience in conducting a research project (PIs, Postdocs, PhD students).
Prerequisites
Coaches
Scientists collect ever-increasing amounts of data that have to be stored, interpreted and shared. Furthermore, funding agencies, journals and academic institutions regularly issue new guidelines and policies regarding data management. As a result, successful research data management has become both a key skill and a major challenge for many scientists. In this workshop, experts from ETH Zurich Scientific IT Services will provide an overview of best practices and tools for the daily management of data during the lifetime of a research project. In particular, the course introduces tools to manage primary data, notes, inventories and code in order to keep track of information from the acquisition to the final publication of results. Finally, the open source tool openBIS (https://labnotebook.ch/) is presented as an example of a comprehensive data management system for research groups in quantitative domains.
Topics to be covered include:
- Data management planning
- Data documentation and metadata
- Tools for daily management of data
- Electronic laboratory notebooks
- Safe data storage and backup
- Reproducibility and reusability
- Working with Big Data
Target group
The course addresses scientists with experience in conducting a research project (PIs, Postdocs, PhD students).
Prerequisites
- None
Coaches
- Dr. Caterina Barillari, ETH Zurich Scientific IT Services
- Dr. Alex Upton, ETH Zurich Scientific IT Services
Practical information (time, location ...)
Time : 2019-01-23 13:30 - 17:00
Location : Main Building, Room 105, Hochschulstrasse 4, University of Bern
Training language: English
Participants : Max 24
Registraion : Mandatory
Coaches : Dr. Caterina Barillari, Dr. Alex Upton
Prerequisites : None
Location : Main Building, Room 105, Hochschulstrasse 4, University of Bern
Training language: English
Participants : Max 24
Registraion : Mandatory
Coaches : Dr. Caterina Barillari, Dr. Alex Upton
Prerequisites : None
About ScITS
The Science IT Support is there to boost your research by supporting you solving computing challenges. Your code doesn't compile, you need more computing power, more storage, a data mangament plan and so on - drop an email, call or pass by our office. Cheers, Sigve
Our wepgabe is scits.math.unibe.ch.
This course is organised by our colleagues at ETH Scientific IT Services (SIS). SIS has extensive experience of research data management, including the development of the research data management platform openBIS. Via the openRDM.swiss project mandated by swissuniversities, SIS offers a national research data management service to the whole of the Swiss academic community.
Our wepgabe is scits.math.unibe.ch.
This course is organised by our colleagues at ETH Scientific IT Services (SIS). SIS has extensive experience of research data management, including the development of the research data management platform openBIS. Via the openRDM.swiss project mandated by swissuniversities, SIS offers a national research data management service to the whole of the Swiss academic community.