Merge pull request #121 from EATRIS/create-pull-request/resource_summary

Changes created by "create_summary" action

resources/summary/MOTBX_v0.0.6.csv

@@ -92,3 +92,4 @@ ID0089,Data Analysis,Software applications and workflows,Ten quick tips for buil
 ID0090,Data Analysis,Software applications and workflows,FAIR Principles for Research Software (FAIR4RS Principles),"This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles), and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019.",https://doi.org/10.15497/RDA00068,"data standard, scientific publication, software application","data standard, scientific publication, software application"
 ID0091,Data Analysis,Guidelines and best practices,Introducing the FAIR Principles for research software,"The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work.",https://www.nature.com/articles/s41597-022-01710-x,"data standard, scientific publication, software application","data standard, scientific publication, software application"
 ID0092,Data Management and Stewardship,Translational research use cases,Data Management Plan (DMP) EATRIS-Plus Project,"This data management plan is for the demonstrator study in the EU-funded EATRIS-Plus Project, involving the reuse of genomic data and the generation, analysis and integration of multi-omics data from a cohort of 127 healthy blood donors. Data has been generated by five project partners in five different EU countries. The purpose of the data generation is to establish multi-omics reference values based on high-quality reference protocols of a well-characterised population cohort of healthy individuals.",https://zenodo.org/records/10246048,"database, datasets, metadata standards","database, datasets, metadata standards"
+ID0093,Data Management and Stewardship,Databases and catalogues,EATRIS-Plus multi-omics data of a human reference cohort,"In this reference study, blood samples of 127 healthy individuals were analyzed with a wide range of -omics technologies, resulting in the most comprehensive -omics profiling data set that is publicly available. The molecular measurements that are available here, can be used as reference values for any future (multi-)omics studyies. Along with phenotypic information (Sex, Age, BMI etc. and measured cell types levels) on the healthy subjects, omics data types are included.",https://doi.org/10.5281/zenodo.10782800,"database, datasets, multi-omics, multi-omics studies, EATRIS-Plus project","database, datasets"

resources/summary/changelog_v0.0.6.csv

@@ -5,3 +5,4 @@ ID0089,added,yes,"resourceCategory, resourceDescription, resourceID, resourceKey
 ID0090,added,yes,"resourceCategory, resourceDescription, resourceID, resourceKeywords, resourceSubcategory, resourceTags, resourceTitle, resourceUrl"
 ID0091,added,yes,"resourceCategory, resourceDescription, resourceID, resourceKeywords, resourceSubcategory, resourceTags, resourceTitle, resourceUrl"
 ID0092,added,yes,"resourceCategory, resourceDescription, resourceID, resourceKeywords, resourceSubcategory, resourceTags, resourceTitle, resourceUrl"
+ID0093,added,yes,"resourceCategory, resourceDescription, resourceID, resourceKeywords, resourceSubcategory, resourceTags, resourceTitle, resourceUrl"