Merge branch 'main' into Kleinigkeiten

Author: Zack-83

README.md

@@ -107,13 +107,15 @@ In order to file issues, you will need a GitHub account.
 |Horizon 2020                     |[catalog][EHU]|[view][EHU]|2020-09|FDM Bayern eHumanities|
 |Mathematics                      |[catalog][MAT]|     |2022-11|DFG Excellence Cluster MATH+|
 |NFDI DMP Template                |[catalog][D4N]|           |2025-06|DMP4NFDI              |
+|Offboarding checklist            |[catalog][UDA]|           |2025-09|ULB Darmstadt          |
 |Quality Assurance Tool for data  |[catalog][QAT]|           |2025-03|Mathmet / TC-IM 1449  |
 |Quality Assurance Tool for software  |[catalog][QAT]|       |2025-03|Mathmet / TC-IM 1449  |
 |Research data policy generator       |[catalog][FDN]|       |2025-04|FDNext                |
+|Software for collection management|[2 catalogs][N4Q]|       |2025-09|NFDI4Culture          |
 |VW Foundation - Basic DMP            |[catalog][VWB]|       |2025-06|FDM Bayern eHumanities|
 |VW Foundation - Science Europe       |[catalog][VWE]|       |2021-04|FDM Bayern eHumanities|
 
-Total: 29 catalogs, 15 views
+Total: 32 catalogs, 15 views
 
 [AKU]:         shared/ub_fau_erlangen_nuernberg/dfg-alte-kulturen/
 [CHE]:         shared/ub_fau_erlangen_nuernberg/dfg-chemie/
@@ -128,13 +130,15 @@ Total: 29 catalogs, 15 views
 [D4N]:         shared/DMP4NFDI
 [FDK]:         shared/FoDaKo
 [FDN]:         shared/FDNext/
+[N4Q]:         shared/NFDI4Culture/
 [N4C]:         shared/nfdi4chem
 [N4I]:         shared/nfdi4ing
 [EMM]:         shared/EmiMin
 [HFD]:         shared/HeFDI
 [MAT]:         shared/MATH+
 [QAT]:         shared/Mathmet-QAT
 [EPM]:         shared/metrology-rdm/
+[UDA]:         shared/ulb_darmstadt/
 [Q-rdmo]:      rdmorganiser/questions/questions-rdmo.xml
 [Q-fhp]:       rdmorganiser/questions/questions-fhpshort.xml
 [Q-dcc]:       rdmorganiser/questions/questions-dcc.xml

rdmorganiser/questions/questions-DFG-Checkliste.xml

@@ -106,7 +106,7 @@ The following questions address the content, format, origin and management of th
     <li>Relevance/reuse potential: High (reference data), medium (main scientific study), low (preliminary study);</li>
     <li>Publication of data: Yes/no, planned repository, planned implementation and financing;</li>
     <li>Long-term archiving: Yes/no, planned data format, planned implementation and financing.</li></ul></li>
-  <li>Decide on the most favourable division of project data into data sets, ensuring that only data which differ significantly in terms of these criteria are assigned to different data sets. Create a suitable number of homogeneous data sets: enough to avoid case distinctions, but few enough to prevent repetition of the same answers.</li>
+  <li>Decide on the most favourable division of project data into data sets, ensuring that only data which differ significantly in terms of these criteria are assigned to different data sets. Create a suitable number of homogeneous data sets: enough to avoid the need for conditional answers, but few enough to prevent repetition of the same answers.</li>
 </ul>
 
 <p style="text-indent: 2em;">Examples of two projects in which the data are sorted into data sets can be found <a href="https://gl.mathhub.info/cdi/labs/literacy/proposal-self-service/-/blob/main/RDMO/Beispiele_und_Hilfen/Hilfe_Datenkategorie_en.md" target="_blank">here</a>.</p>

rdmorganiser/questions/questions-dcc.xml

@@ -382,7 +382,7 @@ The following questions address the content, format, origin and management of th
     <li>Relevance/reuse potential: High (reference data), medium (main scientific study), low (preliminary study);</li>
     <li>Publication of data: Yes/no, planned repository, planned implementation and financing;</li>
     <li>Long-term archiving: Yes/no, planned data format, planned implementation and financing.</li></ul></li>
-  <li>Decide on the most favourable division of project data into data sets, ensuring that only data which differ significantly in terms of these criteria are assigned to different data sets. Create a suitable number of homogeneous data sets: enough to avoid case distinctions, but few enough to prevent repetition of the same answers.</li>
+  <li>Decide on the most favourable division of project data into data sets, ensuring that only data which differ significantly in terms of these criteria are assigned to different data sets. Create a suitable number of homogeneous data sets: enough to avoid the need for conditional answers, but few enough to prevent repetition of the same answers.</li>
 </ul>
 
 <p style="text-indent: 2em;">Examples of two projects in which the data are sorted into data sets can be found <a href="https://gl.mathhub.info/cdi/labs/literacy/proposal-self-service/-/blob/main/RDMO/Beispiele_und_Hilfen/Hilfe_Datenkategorie_en.md" target="_blank">here</a>.</p>

rdmorganiser/questions/questions-fhpshort.xml

@@ -544,7 +544,7 @@ The following questions address the content, format, origin and management of th
     <li>Relevance/reuse potential: High (reference data), medium (main scientific study), low (preliminary study);</li>
     <li>Publication of data: Yes/no, planned repository, planned implementation and financing;</li>
     <li>Long-term archiving: Yes/no, planned data format, planned implementation and financing.</li></ul></li>
-  <li>Decide on the most favourable division of project data into data sets, ensuring that only data which differ significantly in terms of these criteria are assigned to different data sets. Create a suitable number of homogeneous data sets: enough to avoid case distinctions, but few enough to prevent repetition of the same answers.</li>
+  <li>Decide on the most favourable division of project data into data sets, ensuring that only data which differ significantly in terms of these criteria are assigned to different data sets. Create a suitable number of homogeneous data sets: enough to avoid the need for conditional answers, but few enough to prevent repetition of the same answers.</li>
 </ul>
 
 <p style="text-indent: 2em;">Examples of two projects in which the data are sorted into data sets can be found <a href="https://gl.mathhub.info/cdi/labs/literacy/proposal-self-service/-/blob/main/RDMO/Beispiele_und_Hilfen/Hilfe_Datenkategorie_en.md" target="_blank">here</a>.</p>