diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 74d6ca8cb..2e653a09e 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -106,7 +106,7 @@ To contribute contents such as blog posts, visualisations, and documentation, pl
### Blog post
-- [Guide on contribute blog posts](https://dataviz.shef.ac.uk/docs/22/03/2020/contribute-blog-post)
+- See the guide for how to contribute blog post on [website](https://dataviz.shef.ac.uk/docs/22/03/2020/contribute-blog-post) or [local markdown file](./content/docs/2020-03-22-datavizhub-guide/index.mdx).
### Documentation
@@ -121,7 +121,7 @@ All markdown files and resources for the document should be placed under the dir
### Visualisation
-- [How to contribute visualisation?](https://dataviz.shef.ac.uk/docs/21/07/2021/Contribute-visualisation)
+- See the guide for how to contribute visualisation on [website](https://dataviz.shef.ac.uk/docs/21/07/2021/Contribute-visualisation) or [local markdown file](./content/docs/2021-07-21-Contribute-visualisation/index.mdx).
[coc]: https://github.com/researchdata-sheffield/dataviz-hub2/blob/master/CODE-OF-CONDUCT.md
[issue]: https://github.com/researchdata-sheffield/dataviz-hub2/issues
@@ -131,4 +131,22 @@ All markdown files and resources for the document should be placed under the dir
### Styles
-Place global variables in the file `src/css/_variables.scss` and use it in any scss files like `var.$varibale-name`.
\ No newline at end of file
+Place global variables in the file `src/css/_variables.scss` and use it in any scss files in the format of `var.$varibale-name`.
+
+You may wish to use the [react-reveal](https://www.react-reveal.com/) package to add some animations to your contributed pages. Sometimes the following order of HTML elements would not render the content correctly:
+
+```mdx
+import { Fade } from "react-reveal";
+
+
+ ...contents
+
+```
+
+To solve this problem, move the `` tag one level above:
+
+```mdx
+
+
+ In computer science, reproducibility means that as long as the
+ environment and initial conditions are the same, when the program is
+ executed or the program is executed repeatedly, no matter if it is
+ executed from beginning to end without stopping, or "stop and restart"
+ execution, we will get the same result. Therefore, reproducibility
+ of data visualisation should follow the same principle.
+
+ Given the data and code provided (by an author) we should be able to get
+ the same output by following the same steps as the author does. But how do
+ we ensure that data and code are preserved and is accessible even after a
+ long period of time for further research or reference is important for
+ data visulisations as well as for publications. We hope you will find this
+ information useful and if you have any questions or have found any errors
+ in this page please contact us on our communication channels (
+ email,{" "}
+ slack,{" "}
+
+ google group
+
+ ).
+
+
+
-
-
-
- Make yourself identifiable
-
-
- Sometimes two researchers could have the same name or initials due to
- culture differences and writing systems etc, it is important that
- there is a mechanism for identifying who you are regardless where and
- when you published articles, datasets, and make other contributions.
- To resolve this problem, ORCID (Open Researcher and Contributor
- ID) was introduced in 2012 that can{" "}
-
- provide a persistent digital identifier (an ORCID iD) that
- distinguishes you from other researchers and a record that supports
- automatic links among all your professional activities. Your{" "}
- ORCID iD and connections are stored in the ORCID Registry, in
- an account you own and manage
-
- . To register, visit{" "}
- orcid.org.
-
-
-
-
-
-
- Make your data identifiable
-
-
- Identifying datasets and codes is equally important to identify
- yourself. DOI (digital object identifier) was introduced in
- 2000 to identify many resources across academic, professional, and
- government information, this will help you to include your datasets
- and code within your publication through DOI. If other
- researchers can easily locate your data and make use of it to
- reproduce your work to make sense of your data and communicate
- findings more widely. Read the{" "}
-
- next section
- {" "}
- to learn more about options of data repositories you can use.
-
-
-
-
-
-
- Deposit your data
-
-
- For reproducibility purposes we advise you to deposit data and codes
- in data repositories that can be accessed and cited by anyone{" "}
- around the world through a unique DOI (digital object
- identifier). For some repositories it is possible to use programming
- languages like Python and R to fetch data directly from the source
- using URL provided. If your data is not classified as sensitive data
- and no discipline-specific repository is available, we encourage you
- to deposit data and code in University's data repository (powered by{" "}
- figshare) -{" "}
-
- Online Research Data (ORDA)
-
- . For other recommendations including discipline-specific
- repositories, visit The University Library’s{" "}
-
- Research Data Repositories Page
-
- .
-
-
If you have a GitHub account, check out the following articles:
- There might be cases where your data comes from external sources like{" "}
- data.gov.uk, don't forget acknowledge the source of the
- information in your data and state the licence applied to.
-
-
- We also encourage you not to limit to data visulisation and to visit
- The University Library{" "}
-
- RDM page
- {" "}
- to give you a broad overview of Research Data Management at the
- university and many specific guidances.
-
-
-
-
-
-
+
+
+ Make yourself identifiable
+
+
+ Sometimes two researchers could have the same name or initials due to
+ culture differences and writing systems etc, it is important that there is
+ a mechanism for identifying who you are regardless where and when you
+ published articles, datasets, and make other contributions. To resolve
+ this problem, ORCID (Open Researcher and Contributor ID) was
+ introduced in 2012 that can{" "}
+
+ provide a persistent digital identifier (an ORCID iD) that distinguishes
+ you from other researchers and a record that supports automatic links
+ among all your professional activities. Your ORCID iD and
+ connections are stored in the ORCID Registry, in an account you own and
+ manage
+
+ . To register, visit orcid.org.
+
+
+
+
+{" "}
+
+
+
+ Make your data identifiable
+
+
+ Identifying datasets and codes is equally important to identify yourself.{" "}
+ DOI (digital object identifier) was introduced in 2000 to identify
+ many resources across academic, professional, and government information,
+ this will help you to include your datasets and code within your
+ publication through DOI. If other researchers can easily locate
+ your data and make use of it to reproduce your work to make sense of your
+ data and communicate findings more widely. Read the{" "}
+
+ next section
+ {" "}
+ to learn more about options of data repositories you can use.
+
+
+
+
+
+
+ Deposit your data
+
+
+ For reproducibility purposes we advise you to deposit data and codes in
+ data repositories that can be accessed and cited by anyone around
+ the world through a unique DOI (digital object identifier). For
+ some repositories it is possible to use programming languages like Python
+ and R to fetch data directly from the source using URL provided. If your
+ data is not classified as sensitive data and no discipline-specific
+ repository is available, we encourage you to deposit data and code in
+ University's data repository (powered by{" "}
+ figshare) -{" "}
+
+ Online Research Data (ORDA)
+
+ . For other recommendations including discipline-specific repositories, visit
+ The University Library’s
+ Research Data Repositories Page
+ .
+
+
If you have a GitHub account, check out the following articles:
+
+
- Congratulations!
- {" "}
- You have completed the learning path - Workflow, now you understand
- the importance of the reproducible data visualisation workflow and also
- able to deposit data and code in suitable data repositories. Note that we
- are updating learning paths from time to time, so do keep eye on this
- website and our community channels to get the latest information.
-
+ There might be cases where your data comes from external sources like{" "}
+ data.gov.uk, don't forget acknowledge the source of the information
+ in your data and state the licence applied to.
+
+
+ We also encourage you not to limit to data visulisation and to visit The
+ University Library{" "}
+
+ RDM page
+ {" "}
+ to give you a broad overview of Research Data Management at the university
+ and many specific guidances.
+
+
+
+
+
+
+ Congratulations!
+
{" "}
+ You have completed the learning path - Workflow, now you understand the
+ importance of the reproducible data visualisation workflow and also able to
+ deposit data and code in suitable data repositories. Note that we are updating
+ learning paths from time to time, so do keep eye on this website and our
+ community channels to get the latest information.
+
diff --git a/src/components/blog/postPagination.jsx b/src/components/blog/postPagination.jsx
index d31b3b38b..aeae1d193 100644
--- a/src/components/blog/postPagination.jsx
+++ b/src/components/blog/postPagination.jsx
@@ -28,7 +28,7 @@ class PostPagination extends React.Component {
let nextTitle = next ? shortenText(next.node.frontmatter.title, 6) : "";
let linkStyle =
- "flex items-center px-3 hover:text-brand-blue text-gray-900 min-w-20";
+ "flex items-center px-3 inline-block hover:bg-brand-blue text-brand-black";
return (