Sharing

What is data sharing?

Sharing data means making your data known to other people.

You can share your data with collaboration partners in the context of a collaborative research project, or you can publish your data to share it with the global research community and society at large.

It’s important to know that data sharing doesn’t mean open data or public data. You can choose to share your data with restricted access or even closed access. Moreover, sharing or publishing data is different from publishing a paper or a manuscript in a journal. Here we focused on data (i.e. raw observations and measurements, analysis workflows, code, etc.), not on papers or articles.

Data sharing can be done at any time during the research data life cycle but, at the latest, data should be made available at the time of publication of articles that use the data to make scientific conclusions.
ELIXIR. “RDMkit – Sharing“.

For details, see RDMkit – Sharing

Researcher tasks anticipated during the sharing phase (external link)

Data brokering

Data transfer

Licensing

Data sensitivity

Data security

Data publication

Identifiers

Documentation and metadata

Reference information for the sharing phase

During the sharing phase, it is necessary to preserve data in a suitable file format that ensures sustainable accessibility, back it up, and respond to the requests of other researchers and institutions for the data.

Repositories for disclosing data include field-specific repositories, general repositories, and institutional repositories.

Field-specific repositories

A repository that collects data for specific fields. Examples include the following:

OLAC (Open Language Archives Community)：A collaborative distributed archive of language-related resources. It applies an extended version of the Dublin Core as its metadata schema and uses a unique metadata harvesting protocol compatible with OAI-PMH.
ComparaLex： An online lexical database developed by the Canada Institute of Linguistics. It stores word list data, including audio samples, and can be used for linguistic analysis.

General repositories

A repository that is not limited to specific fields. Examples include the following:

Institutional repositories

A repository operated by the Tokyo University of Foreign Studies Library. For information on publishing in the institutional repository, please refer to ‘Publishing Academic Data in the Institutional Repository”.

Data-repository searching sites

Data repositories can be searched on sites such as the following: