How will you share the data?

Questions to consider:

• How will potential users find out about your data?
• With whom will you share the data, and under what conditions?
• Will you share data via a repository, handle requests directly or use another mechanism?
• When will you make the data available?
• Will you pursue getting a persistent identifier for your data?

Guidance:

Consider where, how, and to whom data with acknowledged long-term value should be made available. The methods used to share data will be dependent on a number of factors such as the type, size, complexity and sensitivity of data. If possible, mention earlier examples to show a track record of effective data sharing. Consider how people might acknowledge the reuse of your data.

SAMPLE 1 :

Our collected data is mainly disseminated through presentations at scientific conferences and meetings, scientific publications, and our exciting collaborations. For example, our laboratory is a member of COST action MitoEAGLE that consists of research teams from 32 countries.

The data will be available in parts right after we have published research articles related to the data

SAMPLE 2:

Datasets will be published together with the corresponding publications. For dataset publishing, we plan to use internationally established repositories, such as TalTechData.

Data sharing in the form of original datasets and metadata as a separate database is already possible and has a minimal cost. However, conversion of such datasets as ours to RDF enriched with the standard ontologies is a separately financed project that is in progress in the laboratory. This will allow us to publish the datasets in a form suitable for machine learning and mining.