Add best practices section, prepare 3.0.0 release

source/best_practices.rst

@@ -0,0 +1,43 @@
+When writing schema using the HDMF Schema Language, including extensions, the HDMF development team provides a few best
+practices to ensure correct behavior from the HDMF reference API and other APIs that we are aware of (e.g., MatNWB).
+
+1. Do not create schema that the HDMF reference API does not yet support. See `hdmf_support`_ for details.
+
+2. Define new data types (``data_type_def``) at the root of the schema rather than nested within another data type
+definition. Nested type definitions may in some cases lead to errors in HDMF. See `hdmf#511`_ and `hdmf#73`_.
+
+3. Use the ``quantity`` key not in the data type definition but in the group/dataset spec where the type is included.
+When the data type is included within another data type via ``data_type_inc``, if the ``quantity`` key omitted, the
+default value of 1 would be used. This makes the ``quantity`` defined in the data type definition meaningless
+and confusing.
+
+4. Use the ``name`` key not in the data type definition but in the group/dataset spec where the type is included,
+unless you really want to require that all instances of the data type have that name. Mismatch between the name
+defined on the data type definition and where it is included can lead to unexpected behavior in the APIs.
+
+5. Create a new data type when adding attributes/datasets/groups/links to an existing data type. See
+`hdmf-schema-language#13`_ for details. Adding attributes/datasets/groups/links to an existing data type using
+``data_type_inc`` is partially supported by the APIs, particularly the validator, so this is discouraged until
+full, tested support is added.
+
+6. Modifying the dtype, shape, or quantity of a data type when using ``data_type_inc`` should only restrict the values
+from their original definitions. This ensures that the data types follow the object-oriented programming principle of
+inheritance. For example, if type A has ``dtype: text`` and type B extends type A
+(``data_type_def: B, data_type_inc: A``), then type B should not redefine ``dtype`` to be ``int``
+which is incompatible with the ``dtype`` of type A. The same idea holds if type A is included in another type
+and a new type is not defined (just ``data_type_inc: A``).
+In other words, all children types should be valid against the parent type. See `hdmf#321`_.
+
+7. Non-scalar values for the ``value`` and ``default_value`` keys are not fully supported in the official APIs,
+so these are discouraged until support is added.
+
+8. Do not put spaces in the names of data types or objects. This can lead to unexpected behavior in the APIs.
+See `pynwb#1421`_ for an example.
+
+
+.. _hdmf#511: https://github.com/hdmf-dev/hdmf/issues/511
+.. _hdmf#73: https://github.com/hdmf-dev/hdmf/issues/73
+.. _hdmf-schema-language#13: https://github.com/hdmf-dev/hdmf-schema-language/issues/13
+.. _hdmf#321: https://github.com/hdmf-dev/hdmf/issues/321
+.. _pynwb#1421: https://github.com/NeurodataWithoutBorders/pynwb/issues/1421
+.. _hdmf_support: https://hdmf.readthedocs.io/en/stable/spec_language_support.html

source/index.rst

@@ -14,5 +14,6 @@ See the full language description, release notes, and credits below.
    :caption: Table of Contents
 
    description
+   best_practices
    release_notes
    credits

source/release_notes.rst

@@ -2,7 +2,7 @@
 Release Notes
 =============
 
-Version 3.0.0 (Upcoming)
+Version 3.0.0 (August 12, 2024)
 ---------------------------------
 * Deprecated the ``default_value`` key for datasets. This key is still supported for attributes.
 * Deprecated ``linkable`` key for groups and datasets.
@@ -14,6 +14,7 @@ Version 3.0.0 (Upcoming)
 * Updated ``datetime`` specification to allow a date with no time or timezone.
 * Changed the meaning of the default shape ``shape: null`` from representing a scalar to representing any shape.
 * Added special value for ``shape: scalar`` that represents a scalar.
+* Added best practices section to documentation.
 
 Version 2.0.2 (March, 2020)
 ---------------------------------