Fix #1334: Challenges: should be in Data Science not User Guides (PR #1342)

.gitbook.yaml

@@ -55,6 +55,8 @@ redirects:
     building-with-ocean/contributing/code-of-conduct: contribute/code-of-conduct.md
     building-with-ocean/contributing/legal-reqs: contribute/legal-reqs.md
     building-with-ocean/projects-using-ocean: contribute/projects-using-ocean.md
+    user-guides/join-a-data-challenge: data-science/join-a-data-challenge.md
+    user-guides/sponsor-a-data-challenge: data-science/sponsor-a-data-challenge.md
     api-references: developers/README.md
     api-references/aquarius-rest-api: developers/aquarius/asset-requests.md
     api-references/provider-rest-api: developers/provider/general-endpoints.md

SUMMARY.md

@@ -26,8 +26,6 @@
     - [Azure Cloud](user-guides/asset-hosting/azure-cloud.md)
     - [Google Storage](user-guides/asset-hosting/google-storage.md)
     - [Github](user-guides/asset-hosting/github.md)
-  - [Join a Data Challenge](user-guides/join-a-data-challenge.md)
-  - [Sponsor a Data Challenge](user-guides/sponsor-a-data-challenge.md)
   - [Liquidity Pools \[deprecated\]](user-guides/remove-liquidity-pools.md)
 - [💻 Developers](developers/README.md)
   - [Architecture Overview](developers/architecture.md)
@@ -105,6 +103,8 @@
     - [Ocean Assets Tech Details](data-science/ocean.py/ocean-assets-tech-details.md)
     - [Ocean Compute Tech Details](data-science/ocean.py/ocean-compute-tech-details.md)
     - [Datatoken Interface Tech Details](data-science/ocean.py/datatoken-interface-tech-details.md)
+  - [Join a Data Challenge](data-science/join-a-data-challenge.md)
+  - [Sponsor a Data Challenge](data-science/sponsor-a-data-challenge.md)
   - [Data Value-Creation Loop](data-science/the-data-value-creation-loop.md)
   - [What data is valuable?](data-science/data-engineers.md)
 * [👀 Predictoor](predictoor/README.md)

data-science/README.md

@@ -9,7 +9,7 @@ coverY: 0
 ### How does Ocean benefit data scientists?
 
 It offers three main benefits:
-- **Earn.** You can earn $ by doing crypto price predictions via [Predictoor](../predictoor/README.md), by curating data in [Data Farming](../data-farming/README.md), by doing [data challenges](../user-guides/join-a-data-challenge.md), and by selling data & models.
+- **Earn.** You can earn $ by doing crypto price predictions via [Predictoor](../predictoor/README.md), by curating data in [Data Farming](../data-farming/README.md), competing in a [data challenge](join-a-data-challenge.md), and by selling data & models.
 - **More Data.** Use [Compute-to-Data](../developers/compute-to-data/README.md) to access private data to run your AI modeling algorithms against, data which was previously inaccessible. Browse [Ocean Market](https://market.oceanprotocol.com) and other Ocean-powered markets to find more data to improve your AI models. 
 - **Provenance.** The acts of publishing data, purchasing data, and consuming data are all recorded on the blockchain to make a tamper-proof audit trail. Know where your AI training data came from!
 
@@ -19,7 +19,7 @@ Here are the most relevant Ocean tools to work with:
 
 - The **[ocean.py](ocean.py/README.md)** library is built for the key environment of data scientists: Python. It can simply be imported alongside other Python data science tools like numpy, matplotlib, scikit-learn and tensorflow. You can use it to publish & sell data assets, buy assets, transfer ownership, and more.
 - Predictoor's **[pdr-backend repo](https://github.com/oceanprotocol/pdr-backend)** has Python-based tools to run bots for crypto prediction or trading.
-- And any of the other Ocean tools documented here as well:)
+- **[Compete in a data challenge](join-a-data-challenge.md)**, or [sponsor one](sponsor-a-data-challenge.md).
 
 
 ### Are there mental models for earning $ in data?

data-science/data-engineers.md

@@ -16,7 +16,7 @@ But even then, it's not enough to just publish useful data on Ocean. **You need
 
 If you're still encountering challenges in generating income, don't worry! You can enter one of the [data challenges](https://oceanprotocol.com/challenges) to make sweet OCEAN rewards and build your data science skills.
 
-But what if you're a well-heeled company looking to create dApps or source data predictions? You can kickstart the value creation loop by working with Ocean Protocol to [sponsor a data challenge](../user-guides/sponsor-a-data-challenge.md).
+But what if you're a well-heeled company looking to create dApps or source data predictions? You can kickstart the value creation loop by working with Ocean Protocol to [sponsor a data challenge](sponsor-a-data-challenge.md).
 
 ### What data could be useful for dApp builders?