Nederlands Instituut voor Ecologie (NIOO-KNAW)
FAIR + Structure Evaluation Tool
Metadata
- Metadata is data about your data and contains information about the who, where, what, when, and how of data collection allowing another user of your data to find, understand, and reuse it.
Does the data have detailed metadata
:
No
Yes
Does the dataset have a licence
:
No
Yes
Does the metadata include provenance details
:
No
Yes
Is the metadata mentioning the persistent identifier (PID) of the dataset
:
No
Yes
Does the metadata include qualified reference to other (meta)data
:
No
Yes
Does the data include qualified reference to other (meta)data
:
No
Yes
Storage
- Storage is about whether your data is stored persistently and in a way that makes it findable and accessible to others.
Does the dataset have a persistent and globally unique identifier
:
No
Yes
Is the data stored in a repository
:
No
Yes
Is the metadata stored in a repository
:
No
Yes
Is the data registered or indexed in a searchable resource/catalogue
:
No
Yes
Is the metadata registered or indexed in a searchable resource/catalogue
:
No
Yes
Is the data retrievable through a standardised communication protocol, that allows for authentication and authorisation procedure where necessary
:
No
Yes
Is the metadata persistently accessible also when data is no longer available
:
No
Yes
Standards
- Standards describe uniform, community-accepted formats in which both data and metadata are stored and which enhance compatibility with other datasets. This also includes that data records use standardised vocabulary, where possible to avoid ambiguity of terms.
Is the metadata in a standard format
:
No
Yes
Is the data in a standard format
:
No
Yes
Does the metadata use standard vocabulary/ontologies
:
No
Yes
Does the data use standard vocabulary/ontologies
:
No
Yes
Is the metadata machine readable according to a generally accepted standard
:
No
Yes
Is the data machine readable according to a generally accepted standard
:
No
Yes
Structure
- Structure is about whether your data is organised in a consistent and logical way that makes the data easier to understand for others. While structure is important for all types of data, the questions here are explicitly tailored to tabular data and should not be answered, if your data is in another, non-tabular format.
Is the data structured in rows, each of which contains information about a single entity and in which each row has the same number of cells
:
No
Yes
Do cells in the same column describe (or provide values for) the same property of the entities described by each row
:
No
Yes
Do you describe how different files within the dataset and/or tables within files link to each other
:
No
Yes
Do you provide a comprehensive description of the columns in your files
:
No
Yes
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