Add codemeta file (#1166)

* add codemeta file

Co-authored-by: C.A.P. Linssen <[email protected]>

Author: clinssen

README.md

@@ -2,7 +2,9 @@
 
 # NESTML: The NEST Modelling Language
 
-NESTML is a domain-specific language that supports the specification of neuron models in a precise and concise syntax, based on the syntax of Python. Model equations can either be given as a simple string of mathematical notation or as an algorithm written in the built-in procedural language. The equations are analyzed by the associated toolchain, written in Python, to compute an exact solution if possible or use an appropriate numeric solver otherwise.
+NESTML is a domain-specific language for neuron and synapse models. These dynamical models can be used in simulations of brain activity on several platforms, in particular [NEST Simulator](https://nest-simulator.readthedocs.org/).
+
+NESTML combines an easy to understand, yet powerful syntax, with good simulation performance by means of code generation, through a flexible and user-friendly toolchain.
 
 ## Documentation
 

codemeta.json

@@ -0,0 +1,28 @@
+{
+    "@context": "https://w3id.org/codemeta/3.0",
+    "type": "SoftwareSourceCode",
+    "applicationCategory": "computational neuroscience",
+    "codeRepository": "https://github.com/nest/nestml/",
+    "description": "NESTML is a domain-specific language for neuron and synapse models. These dynamical models can be used in simulations of brain activity on several platforms, in particular NEST Simulator.\n\nNESTML combines an easy to understand, yet powerful syntax, with good simulation performance by means of code generation, through a flexible and user-friendly toolchain.",
+    "funder": {
+        "type": "Organization",
+        "name": "Jülich Research Centre GmbH, Jülich, Germany"
+    },
+    "keywords": [
+        "neuron",
+        "synapse",
+        "neuroscience",
+        "neural network",
+        "spiking"
+    ],
+    "license": "https://spdx.org/licenses/GPL-2.0-only",
+    "name": "NESTML",
+    "programmingLanguage": "Python",
+    "codemeta:contIntegration": {
+        "id": "https://github.com/nest/nestml/"
+    },
+    "continuousIntegration": "https://github.com/nest/nestml/",
+    "issueTracker": "https://github.com/nest/nestml/issues",
+    "version": "8.0.0-post-dev"
+}
+

extras/nestml-release-checklist.md

@@ -15,7 +15,7 @@ Follow this checklist to successfully perform a NESTML release. Let's say that 5
 
 - Ensure copyright transferal agreement is obtained from each author (contact: @heplesser). Obtain affiliation one-liner for each author.
 
-- Edit `setup.py` and enter the right version number. Edit `pynestml/__init__.py` and enter the right version number. Push to a new branch called `release-v5.0.1`.
+- Edit `setup.py` and enter the right version number. Edit `pynestml/__init__.py` and enter the right version number. Edit `codemeta.json` and enter the right version number. Push to a new branch called `release-v5.0.1`.
 
 - Log in to Zenodo, and create a new upload. Press the "Reserve DOI" button.