Last modified by maaike on 2022/07/05 20:42
From version 23.2
edited by maaike
on 2022/06/23 12:36
Change comment: There is no comment for this version
To version 22.1
edited by maaike
on 2022/06/23 12:34
Change comment: Uploaded new attachment "QBstep3.png", version {1}

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76 76  
77 77  Go to the Query Builder: [[https:~~/~~/query.kg.ebrains.eu>>https://query.kg.ebrains.eu/#state=6a41dd5b-3cf9-4263-8a65-83d41f27677a&session_state=638c33f5-4551-4d70-8b1d-a5c900aa62d0&code=300f25d8-caac-4576-9a21-195ccc93fd31.638c33f5-4551-4d70-8b1d-a5c900aa62d0.4214dba9-b6d0-4331-9837-3e75a10cda14]]
78 78  
79 -
80 80  ==== Select a category ====
81 81  
82 82  A query for the Knowledge Graph is always executed against a specific data structure (e.g. a "Dataset version"). First select the data structure for your query.
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84 84  [[image:QB1.png||alt="Step 1: Select a category" height="520" width="700"]]
85 85  
86 86  
87 -==== Select an experimental approach ====
86 +==== Select a modality/experimental approach ====
88 88  
89 89  Similar to the facetted filters in the Knowledge Graph Search UI, we can refine our query by defining the experimental approach of our interest, for example electrophysiology.
90 90  
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92 92  
93 93  [[image:QBstep2.png||alt="Step 2: Select modality" height="541" width="700"]]
94 94  
95 -
96 -==== Select species ====
97 -
98 -Similarly, we can refine our query for mice only.
99 -
100 -[[image:QBstep3.png||alt="Step 3: Select species" height="543" width="700"]]
101 -
102 102  = Who has access? =
103 103  
104 104  Describe the audience of this collab.