Create Data
When you turn your data into Linked Open Data (LOD) you will be able to see your data in new ways, discover surprising connections between your data and other LOD, and contribute to the development of the Semantic Web.
Create Linked Open Data
You can create LOD from any kind of existing data, whether it is a spreadsheet or a database (structured data), text with markup or encoding (semi-structured data), or plain text (natural language data).
LINCS provides the tools, infrastructure, and expertise to get you there.
At LINCS, the process of creating LOD is called the conversion workflow. There are various paths through this workflow. The path you take depends on the structure and size of your dataset, your timeline, and your research goals.
You will encounter some or all of these steps along the way:
- Cleaning ensures your data is internally consistent, correctly formatted, and complete.
- Reconciling matches (reconciles) your data to Uniform Resource Identifiers (URIs) so that your data will link accurately to other datasets on the web.
- Converting is a multistep process that involves mapping (fitting your dataset to an ontology), converting (turning the data into triples), reviewing the data for meaning and accuracy, and publishing (ingesting the data into the LINCS triplestore).
Before You Begin
Creating and publishing LOD with LINCS is a significant undertaking that can take several months to complete. Before you decide to work with LINCS to convert your data, you can learn more about LOD and try out some of the LINCS tools:
- Familiarize yourself with LOD basics.
- Explore datasets that have already been published and imagine what might be possible for your own data.
- Use OpenRefine to clean and reconcile your data on your own.
- Attend workshops and events to build your knowledge and skills.
- Review LINCS data policies.
When you are ready to discuss creating and publishing your data with LINCS, please contact us!
Important Steps for Creating Linked Open Data
Clean
Cleaning tools allow you to make your data internally consistent so any time a data point is referenced, it is done in the same way throughout the dataset. These tools are also useful for sorting your data into the most specific categories needed for Linked Open Data (LOD). Cleaning is an important step in data management regardless of whether you are making LOD.
Cleaning Tools
No Tools Found!
Reconcile
Reconciliation tools allow you to find and match a Uniform Resource Identifier (URI) from an external database to an entity that exists in your data. This process enhances your dataset with additional information and links it to other datasets and authorities through the shared URIs.
Reconciliation Tools
No Tools Found!
Convert
Conversion tools allow you to convert your data from one format to another. Conversion can be used to change data from standard relational formats such as XML and CSV into Linked Open Data (LOD) formats that are structured by ontologies. Conversion tools are an important aspect of creating LOD through LINCS’s conversion workflows.
Conversion Tools
No Tools Found!