diff --git a/content/learn-more/annotated-research-context.html b/content/learn-more/annotated-research-context.html index 6643a6ff..b29b08ff 100644 --- a/content/learn-more/annotated-research-context.html +++ b/content/learn-more/annotated-research-context.html @@ -210,21 +210,22 @@

-
- -
-
-
-

- Studies +

+ Workflows

-

Studies are collections of material and resources used within the investigation. -You need to place each study in a unique subdirectory. Material or experimental samples, as well as external data files, can be stored as virtual sample files (containing unique identifiers) in the resources directory. To describe the sample or material creation process, you can store protocols in the designated sub-folder.

-

For each study, an isa.study.xlsx file following the ISA study model needs to be present to specify the characteristics of all material and resources, such as a certain strain. Resources might include external data (e.g., knowledge files or result files) that need to be included and cannot be referenced due to external limitations. Resources described in a study file can be the input for one or multiple assays.

+

Workflows in ARCs represent processing steps used in computational analyses and other data transformations of assays to generate run results. Typical examples include data cleaning and preprocessing, computational analysis, or visualization.

+

All files belonging to a specific workflow need to be stored in a single sub-directory. +This also includes a mandatory per-workflow executable CWL description (v1.2 or higher), which can contain a tool or workflow description.

+

We highly recommend to include a reproducible execution environment description in form of a Docker container description for tool descriptions.

+
+
+ +
+
@@ -234,22 +235,21 @@

-

- Workflows +
+ +
+

+
+

+ Studies

-

Workflows in ARCs represent processing steps used in computational analyses and other data transformations of assays to generate run results. Typical examples include data cleaning and preprocessing, computational analysis, or visualization.

-

All files belonging to a specific workflow need to be stored in a single sub-directory. -This also includes a mandatory per-workflow executable CWL description (v1.2 or higher), which can contain a tool or workflow description.

-

We highly recommend to include a reproducible execution environment description in form of a Docker container description for tool descriptions.

+

Studies are collections of material and resources used within the investigation. +You need to place each study in a unique subdirectory. Material or experimental samples, as well as external data files, can be stored as virtual sample files (containing unique identifiers) in the resources directory. To describe the sample or material creation process, you can store protocols in the designated sub-folder.

+

For each study, an isa.study.xlsx file following the ISA study model needs to be present to specify the characteristics of all material and resources, such as a certain strain. Resources might include external data (e.g., knowledge files or result files) that need to be included and cannot be referenced due to external limitations. Resources described in a study file can be the input for one or multiple assays.

-
-
- -
-
diff --git a/news.html b/news.html index 17cb23b1..5e370c70 100644 --- a/news.html +++ b/news.html @@ -1406,11 +1406,11 @@

- DataPLANT Governance: Senior Management Board Meeting + First ever ARC Hackathon

- On Wednesday, September 08, 2021 the senior management (SMB) board met again to discuss the current status of the project after pretty much one year of DataPLANT. The SMB's objective is the oversight of the general developments, interaction with other consortia and the general NFDI. It takes care of the strategy and standards development and suggests consortium members as experts for the relevant working groups. This meeting's agenda informed on the newly formed NFDI association and its vision, discussed aspects of community integration and public relations... + From 6th to 8th September DataPLANT scientists of the different Task Areas came together at Villa Denis in Frankenstein to continue their work on improving DataPLANTs solution for FAIR data. the Annotated Research Context and its associated tools and services. During the three-day event, the data experts tackled four essential topics. ...
- + Read more
@@ -1426,11 +1426,11 @@

- First ever ARC Hackathon + DataPLANT Governance: Senior Management Board Meeting

- From 6th to 8th September DataPLANT scientists of the different Task Areas came together at Villa Denis in Frankenstein to continue their work on improving DataPLANTs solution for FAIR data. the Annotated Research Context and its associated tools and services. During the three-day event, the data experts tackled four essential topics. ... + On Wednesday, September 08, 2021 the senior management (SMB) board met again to discuss the current status of the project after pretty much one year of DataPLANT. The SMB's objective is the oversight of the general developments, interaction with other consortia and the general NFDI. It takes care of the strategy and standards development and suggests consortium members as experts for the relevant working groups. This meeting's agenda informed on the newly formed NFDI association and its vision, discussed aspects of community integration and public relations...
- + Read more
diff --git a/style/constants.css b/style/constants.css index e93d410a..787a2271 100644 --- a/style/constants.css +++ b/style/constants.css @@ -1,3 +1,3 @@ -/*# sourceMappingURL=tmpFtfCgI.tmp.map */ +/*# sourceMappingURL=tmpUZOlJp.tmp.map */ diff --git a/style/style.css b/style/style.css index 0ae1da73..1a1f090e 100644 --- a/style/style.css +++ b/style/style.css @@ -11947,4 +11947,4 @@ body { margin-bottom: unset !important; } -/*# sourceMappingURL=tmpMkNJz9.tmp.map */ +/*# sourceMappingURL=tmpN7WWLA.tmp.map */