NO-RDA Workshop: Research Data Management in Practice - Documentation and Metadata

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31 May 2021 UTC

NO-RDA Workshop: Research Data Management in Practice - Documentation and Metadata

 
Date: 
31 May 2021

 

How can good documentation and metadata benefit your research project?

Research Data Alliance (RDA) Norway invites you to a workshop focused on the practical aspects of documentation and metadata in research projects, which are essential aspects to ensure that data can be understood and reused. An active approach to research data management can improve quality and consistency in data collection and analysis, as well as contribute to FAIR data and Open and Reproducible Science. The workshop will give a basic introduction for those who are not familiar with metadata, but will also be relevant for those that have more experience. 

Time: Monday May 31st 9:00-12:00 CEST

Location: Zoom. Link and password will be sent after registration

Target audience: Researchers and research support staff

In the first part of the workshop four short presentations will introduce metadata and show examples of practice from different research fields. The second part will give you as a researcher (or research support) the chance to learn more about how metadata and documentation can be useful for your research project. In the second part there will be several parallel sessions to choose from, depending on level of expertise and field of research. These sessions will go more in depth, with examples and demos, and the possibility for questions and discussions.

Registration deadline: Friday May 28th

Register for the workshop.

Programme

09:00   Introduction to metadata: Why is it relevant for open and reproducible science? 

            Agata Bochynska and Elin Stangeland, Open Research group, University of Oslo Library

09:15   RITMO - Beginning with data management and metadata at a new research center.

            Kayla Burnim, RITMO, University of Oslo

09:30   ELIXIR/DLN -Identifying relevant metadata standards and data management in Life Science projects. 

            Korbinian Bösl and Marta Eide, ELIXIR Norway and Centre for Digital Life Norway

09:45    The Data Documentation Initiative (DDI) Metadata Standards for Surveys and Cross Domain Use. 

            Benjamin Beuster and Hilde Orten, NSD

10:00  Coffee break

10:15-11:30 Thematic sessions, choose between different research fields/topics.

This session will dive into how to handle data, documentation and metadata in practice. There will be examples and demos of workflows, metadata standards, documentation, tools etc, with time for discussion and questions. Feel free to be an active participant or an observer, depending on your interest and needs.

Choose between three parallele sessions:

1: RITMO (Kayla Burnim)

“Getting started with documentation and metadata from scratch”. RITMO is a collaboration of the Department of Musicology, Informatics, and Psychology with a variety of research methods, privacy, and data types. How did RITMO get started with data management and basic metadata when experiments are consistently unique. Using user needs, skills, and research types to begin working with metadata

2: ELIXIR/DLN (Korbinian Bösl and Marta Eide)

There is a large selection of repositories and metadata standards for Life Sciences. How to identify the relevant metadata standards for your project? We will show how to use the DSW & FAIRsharing guidance tools to navigate the options and FAIRDOM SEEK as a tool to track metadata in a project. We will give concrete examples from the dCod 1.0 project and different ELIXIR resources.

3: DDI Metadata standards for surveys and cross domain use (Benjamin Beuster and Hilde Orten)

The Data Documentation Initiative (DDI) is a family of metadata standards.

- The Data Documentation Initiative Lifecycle (DDI-Lifecycle ) is an international standard for describing surveys, questionnaires, statistical data files, and social sciences study-level information. In the first part of the session, we will describe its main concepts and present real life examples from the European Social Survey (ESS).

- The goal of the DDI Cross Domain Integration (DDI-CDI) standard, to be published this summer, is to allow integration of data from multiple data structures and domains. In the second part of the session the basics of DDI-CDI will be presented, and first ideas for combining survey data with data from other domains using DDI-CDI will be laid out.

11:30-12:00

Wrap up and summary in plenary.

Key take-away messages and summary of discussion in the different rooms.

Final discussion and input:

How to get started with Research Data Management, documentation and metadata? Are these examples of good practice, tools and standards useful for your own research?

Looking to the future: suggestions for coming workshops, webinars, etc? What other topics are relevant to ensure good RDM and FAIR data?

 

For questions about registration or the programme, contact Kjersti Hasle Enerstvedt, Senior Academic Librarian, UiB or Ingrid Heggland, Senior Research Librarian, NTNU, respectively.