MetaDataApp-Wiki/SFB-1280-metadata-fields.md

-_Work in progress, please contact_ _sfb1280data@rub.de_ _in case of questions._
-
-In the following, the 16 metadata fields of the SFB 1280 metadata schema are defined, as well as constraints (e.g. allowed values) explained and examples given. General conventions in the SFB for storing metadata can be found [here](https://gitlab.ruhr-uni-bochum.de/sfb1280/metaapp_2/-/wikis/MetaDataApp-Wiki/General-conventions:-SFB-1280-metadata)[ ]()and in the [SFB's research data management policy](https://sfb1280.ruhr-uni-bochum.de/wp-content/uploads/2022/10/SFB1280_ResearchDataManagementPolicy_ADOPTED_20220928.pdf).
+In the following, the 16 metadata fields of the SFB 1280 metadata schema are defined, as well as constraints (e.g. allowed values) explained and examples given. General conventions in the SFB for storing metadata can be found [here](https://gitlab.ruhr-uni-bochum.de/sfb1280/metaapp_2/-/wikis/MetaDataApp-Wiki/General-conventions:-SFB-1280-metadata)[ ]()and in the [SFB's research data management policy](https://doi.org/10.5281/zenodo.8004432).
 
 ### 1. Group ID
 
@@ -40,11 +38,13 @@ In the following, the 16 metadata fields of the SFB 1280 metadata schema are def
 
 ### 5. Record Date
 
-**Definition:** Date when the the data were collected or recorded.
+**Definition:** Date when the data were collected or recorded.
 
 **Constraints:** MetaDataApp provides a calendar from which the relevant date can be selected (date picker). The app also allows free text entry of the date in the format TT.MM.YYYY, which is common in Germany. Afterwards the app saves the data in the ISO 8601 date format (YYYY-MM-DD) in the created meta.json
 
-**Example:** free text enty 31.05.2022 stored in the app as 2022-05-31 in meta.json
+**Example:** 31.05.2022
+
+_Note:_ Free text entry in the app "31.05.2022" will be stored  as "2022-05-31" in meta.json
 
 ### 6. Resource Type
 
@@ -122,7 +122,7 @@ It is possible to select more than one value in the MetaDataAppn by holding “C
 
 **Constraints:** Free text entry
 
-**Example:** Reward prediction errors (RPEs) have been suggested to drive associative learning processes, but their precise temporal dynamics at the single-neuron level remain elusive. Here, we studied the neural correlates of RPEs, focusing on their trial-by-trial dynamics during an operant extinction learning paradigm. Within a single <span dir="">behavioural</span>session, pigeons went through acquisition, extinction and renewal - the context-dependent response recovery after extinction. We recorded single units from the avian prefrontal cortex analogue, the nidopallium caudolaterale (NCL).
+**Example:** Reward prediction errors (RPEs) have been suggested to drive associative learning processes, but their precise temporal dynamics at the single-neuron level remain elusive. Here, we studied the neural correlates of RPEs, focusing on their trial-by-trial dynamics during an operant extinction learning paradigm. Within a single <span dir="">behavioural</span> session, pigeons went through acquisition, extinction and renewal - the context-dependent response recovery after extinction. We recorded single units from the avian prefrontal cortex analogue, the nidopallium caudolaterale (NCL).
 
 Packheiser, J., Donoso, J. R., Cheng, S., Güntürkün, O., & Pusch, R. (2021). Trial-by-trial dynamics of reward prediction error-associated signals during extinction learning and renewal. _Progress in neurobiology_, _197_, 101901. https://doi.org/10.1016/j.pneurobio.2020.101901