Merge pull request #413 from jliermann/main

Fix links

Author: jliermann

docs/00_intro/10_fair.mdx

@@ -92,7 +92,7 @@ Especially when looking at metadata, effective and efficient machine readability
 
 ### I2. (meta)data use vocabularies that follow FAIR principles
 
-The applied vocabularies or ontologies should be well-documented and resolvable using a PID. For instance, CHMO mentioned [above](#i1-metadata-use-a-formal-accessible-shared-and-broadly-applicable-language-for-knowledge-representation) uses a [persistent URL (PURL)](http://www.purlz.org/home), resolvable using a standard web browser through `http`, while the [documentation](https://github.com/rsc-ontologies/rsc-cmo) is publicly available on Github.
+The applied vocabularies or ontologies should be well-documented and resolvable using a PID. For instance, CHMO mentioned [above](#i1-metadata-use-a-formal-accessible-shared-and-broadly-applicable-language-for-knowledge-representation) uses a [persistent URL (PURL)](https://en.wikipedia.org/wiki/Persistent_uniform_resource_locator), resolvable using a standard web browser through `http`, while the [documentation](https://github.com/rsc-ontologies/rsc-cmo) is publicly available on Github.
 
 ### I3. (meta)data include qualified references to other (meta)data
 

docs/20_role/20_research_group_member.mdx

@@ -5,7 +5,7 @@ slug: "/research_group_member"
 
 # Research Group Member
 
-import useBaseUrl from '@docusaurus/useBaseUrl';
+import useBaseUrl from "@docusaurus/useBaseUrl";
 
 :::info Applies to:
 This article applies to research group members (PhD students, Postdocs and other scientists), who are generating scientific data.
@@ -17,36 +17,43 @@ As a research group member, you are the one who is doing the actual research. Th
 
 ## Data handling
 
-<img alt="Data LifeCycle" src={useBaseUrl('/img/Intro/DataLifeCycle_KB.svg')} width="500" align="right" vspace="10" hspace="10"/>
+<img
+    alt="Data LifeCycle"
+    src={useBaseUrl("/img/Intro/DataLifeCycle_KB.svg")}
+    width="500"
+    align="right"
+    vspace="10"
+    hspace="10"
+/>
 
 In recent years, many new digital tools have been developed to support researchers with their RDM needs. The technical possibilities are briefly explained below. For more details, please refer to the linked related chapters. If you want to learn more about domain-specific data production methods, have a look at the [domain-specific profiles](/docs/role_guide).
 
-The most efficient way to properly handle your research data and corresponding [metadata](/docs/metadata) starts when planning the experiment according to the [data life cycle](/docs/data_life_cycle) (see figure on the right). In order to have all data directly available in a digital format, the use of [electronic lab notebooks (ELNs)](/docs/eln) is strongly recommended. ELNs can support you in your daily work, from planning experiments to data processing and analysis. For example, after peak assignment in an obtained spectroscopic dataset—which can be performed entirely in one digital environment—peak lists can automatically be generated by ELNs such as the [Chemotion ELN](https://eln.chemotion.net/home) for theses or publications. Furthermore, ELNs are very powerful in preparing your data for [data publishing](/docs/data_publishing) in suitable [repositories](/docs/repositories) as well as for [data storage and archiving](/docs/data_storage). You are therefore facilitating future research in your working group by assembling an internal database in an invaluable manner. In addition to the group you are working in, publishing [well-organised](/docs/data_organisation) and [documented](/docs/data_documentation) research data can help other researchers significantly in terms of searching and re-using your data. [Best practice examples](/docs/best_practice) can guide you to better understand how efficient data handling works.
+The most efficient way to properly handle your research data and corresponding [metadata](/docs/metadata) starts when planning the experiment according to the [data life cycle](/docs/data_life_cycle) (see figure on the right). In order to have all data directly available in a digital format, the use of [electronic lab notebooks (ELNs)](/docs/eln) is strongly recommended. ELNs can support you in your daily work, from planning experiments to data processing and analysis. For example, after peak assignment in an obtained spectroscopic dataset—which can be performed entirely in one digital environment—peak lists can automatically be generated by ELNs such as the [Chemotion ELN](https://www.chemotion.net/) for theses or publications. Furthermore, ELNs are very powerful in preparing your data for [data publishing](/docs/data_publishing) in suitable [repositories](/docs/repositories) as well as for [data storage and archiving](/docs/data_storage). You are therefore facilitating future research in your working group by assembling an internal database in an invaluable manner. In addition to the group you are working in, publishing [well-organised](/docs/data_organisation) and [documented](/docs/data_documentation) research data can help other researchers significantly in terms of searching and re-using your data. [Best practice examples](/docs/best_practice) can guide you to better understand how efficient data handling works.
 
 ## Recommendations – how to start
 
-The use of an ELN for data handling has clear advantages (see [above](#data-handling)). Generally, selecting an [ELN](/docs/eln) and a [repository](/docs/repositories) for data deposition depends on the [chemical sub-domain](/docs/domain_guide). Since 60 % of the chemists work synthetically, the electronic lab notebook [Chemotion ELN](https://www.chemotion.net/chemotionsaurus/) in combination with the repository [Chemotion Repository](https://www.chemotion-repository.net/welcome) may be the right choice for you. 
+The use of an ELN for data handling has clear advantages (see [above](#data-handling)). Generally, selecting an [ELN](/docs/eln) and a [repository](/docs/repositories) for data deposition depends on the [chemical sub-domain](/docs/domain_guide). Since 60 % of the chemists work synthetically, the electronic lab notebook [Chemotion ELN](https://www.chemotion.net/) in combination with the repository [Chemotion Repository](https://www.chemotion-repository.net/) may be the right choice for you.
 
 :::tip Advantages of Chemotion
 
-- [Data life cycle](/docs/data_life_cycle) fully covered—from experiment planning to publication
-- Drawing chemical structures—automatic calculation of quantities and yields
-- Many spectra can be directly analysed in the Chemotion environment using ChemSpectra
-- Experimental information for the experimental section of theses or publications can be generated and exported by the software—no manual peak listing required
-- A plausibility check is available for NMR spectra
-- SciFinder search is directly integrated
-- Building an internal database—advancing collaboration and data exchange in the group.
-- Seamless export from ELN to repository as a FAIR data deposit with a [persistent identifier (DOI)](/docs/pid) for each molecule
-- User management—access rights, sharing, and syncing.
-- Academic version is free of charge
+-   [Data life cycle](/docs/data_life_cycle) fully covered—from experiment planning to publication
+-   Drawing chemical structures—automatic calculation of quantities and yields
+-   Many spectra can be directly analysed in the Chemotion environment using ChemSpectra
+-   Experimental information for the experimental section of theses or publications can be generated and exported by the software—no manual peak listing required
+-   A plausibility check is available for NMR spectra
+-   SciFinder search is directly integrated
+-   Building an internal database—advancing collaboration and data exchange in the group.
+-   Seamless export from ELN to repository as a FAIR data deposit with a [persistent identifier (DOI)](/docs/pid) for each molecule
+-   User management—access rights, sharing, and syncing.
+-   Academic version is free of charge
 
 **When running your own Chemotion instance, you keep control of your data.**
 
 :::
 
 :::info Info:
 
-For more information on Chemotion, the [Chemotion introductory video](https://www.youtube.com/watch?v=tZHaP6DW-Dw) (in German) provides a good overview of Chemotion as a tool in research data management. 
+For more information on Chemotion, the [Chemotion introductory video](https://www.youtube.com/watch?v=tZHaP6DW-Dw) (in German) provides a good overview of Chemotion as a tool in research data management.
 
 :::