Funding for Agri-food Data Canada is provided in part by the Canada First Research Excellence Fund
Searching for ADC Data Schemas
Alrighty – so you have been learning about the Semantic Engine and how important documentation is when it comes to research data – ok, ok, yes documentation is important to any and all data, but we’ll stay in our lanes here and keep our conversation to research data. We’ve talked about Research Data Management and…
View
Data Quality Annotations
What do you do when you’ve collected data but you need to also include notes in the data. Do you mix the data together with the notes? Here we build on our previous blog post describing data quality comments with worked examples. An example of quality comments embedded into numeric data is if you include…
View
How to use ISO duration
How to Use ISO 8601 Duration Format The ISO 8601 duration format allows you to represent durations of time in a standardized way. For example, if your data records contain a mixture of duration (e.g. 3 days, 4 months, 1 year etc.) you can represent all of these values using the ISO standard duration. Read…
View
Feature release! Data Verification
There is a new feature just released in the Semantic Engine! Now, after you have written your schema you can use this schema to enter and verify data using your web browser. Find the link to the new tool in the Quick Link lists, after you have uploaded a schema. Watch our video tutorial on…
ViewSchemas for Publications
When submitting a publication to a journal you are often asked to submit data, publish it in a repository, or otherwise make it available. The journals may ask that your data supports FAIR principles (that data is Findable, Accessible, Interoperable and Reusable). You may be asked to submit supplementary data to a generalist or specialist…
View
ADC’s Re-usable Data Explorer App
Let’s take a little jaunt back to my FAIR posts. Remember that first one? R is for Reusable? Now, it’s one thing to talk about data re-usability, but it’s an entirely different thing to put this into action. Well, here at Agri-food Data Canada or ADC we like to put things into action, or think…
View
Understanding a schema text file
When you create a schema using the Semantic Engine you are documenting information that can make your dataset more FAIR, helping others use and understand your data. The schema created using the Semantic Engine is understood by machines and is written in JSON. At first glance, it is not so easy for people to read…
View
Example video for writing a schema
At the Semantic Engine we have created a new video example where we walk through the process of describing a dataset with a schema. We are using a dataset with milking data that has been downloaded from the research dairy barn. You can watch the video on YouTube or follow along in the schema writing…
View
Import entry codes from a schema
The Semantic Engine has a new upgrade for importing existing entry codes! If you don’t know what entry codes are, you can check out our blog post about how to use entry codes. We also walk through an example of entry codes in our video tutorial. While you can type your entry codes and labels…
View
Array Datatypes for attributes
In Overlays Capture Architecture (OCA), when using the Semantic Engine you must assign data types to all of your attributes (aka variables). When do you use the array datatype? You use an array data type when a data record for that attribute would hold multiple values of a specific data type, arranged in a list-like…
View