Project, Studies, and Collections: Difference between revisions

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== Overview ==
== Overview ==
NAN provides a structured, hierarchical approach to organizing NMR data in the Data Browser which is accessible from the [[Datasets#Navigation Pane|Navigation Pane]].
NAN provides a structured, hierarchical approach to organizing NMR data (datasets and samples) in the Data Browser which is accessible from the [[Datasets#Navigation Pane|Navigation Pane]]. This allows datasets and samples to be organized in a hierarchal manner similar to how users organize data on a file system.


== Projects ==
== Projects ==
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* The ability to link to one or more funding sources (e.g., NIH, NSF)
* The ability to link to one or more funding sources (e.g., NIH, NSF)
* Serving as containers for datasets, studies, and collections
* Serving as containers for Studies, and Collections
** Datasets added at the Project level appear in the "''default collection''" for that Project
** Datasets and samples may also be added directly to a Project in the "''default collection''" for that Project
*The ability to grant all lab-group users access to the Project or to apply fine-grain access control to the Project data
*The ability to grant all lab-group users access to the Project or to apply fine-grain access control to the Project data


* Allowing the Project and Study to be selected at the time of data collection through the NDTS GUI
* Allowing the Project and Study to be selected at the time of data collection through the NDTS GUI
** Data can be later organized into Projects, Studies, and Collections through the Data Browser


Projects are ideal for grouping data related to a particular grant, research theme, or initiative. Associating datasets with projects allows for clear attribution of funding and enables both investigators and facilities to generate accurate usage and funding reports.
Projects are ideal for grouping data related to a particular grant, research theme, or initiative. Associating datasets and sample with projects allows for clear attribution of funding and enables both investigators and facilities to generate accurate usage and funding reports.


== Studies ==
== Studies ==
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* Each Study belongs to a single Project
* Each Study belongs to a single Project
* Studies can contain datasets and Collections
* Studies can contain Collections
** Datasets added at the Study level appear in the "''default collection''" for that Study
** Datasets and samples may also be added directly to the Study in the "''default collection''" for that Study


== Collections ==
== Collections ==
Collections are flexible containers that serve two purposes:
Collections are containers that serve two purposes:


* **Within a Study:** Collections group datasets that share a specific context, such as replicates or multi-condition experiments.
* '''Within a Study''': Collections allow a further level of organization underneath Studies
* **Independent Use:** Any user can create personal collections accessible from '''My Collections'''. These allow individuals to organize datasets privately, even if those datasets are part of shared projects.
* '''Independent Use''': Allow individuals to organize datasets privately, even if those datasets are part of shared projects


Key points about collections:
== Adding Datasets and Samples to Projects, Studies, or Collections ==
 
* Collections can be nested inside studies or used independently.
* Collections can only contain datasets the user already has permission to view.
* Datasets added to personal collections retain the PI-defined permission model—they do not become private or public by virtue of the collection.


== Funding Sources ==
== Funding Sources ==
Funding sources may be added by PIs and linked directly to Projects. Each funding source includes fields such as:
Funding sources may be added by PIs (or PI Delegates) and linked directly to Projects. When a dataset is linked to a Project, and that Project is associated with one or more funding sources, those funding relationships are inherited. This structure assists with downstream reporting, including generation of reports for funding agencies and internal accounting by NMR facilities.
 
* Agency and Institute (e.g., NIH/NIGMS)
* Grant number
* PI and Co-PI names
* Abstract, start and end dates, and optional URL
 
When a dataset is linked to a Project, and that Project is associated with one or more funding sources, those funding relationships are inherited. This structure supports downstream reporting, including generation of reports for funding agencies and internal accounting by facilities.
 
== Summary ==
Together, Projects, Studies, Collections, and Funding Sources provide a scalable and intuitive structure for organizing NMR data in NAN:
 
* Projects group datasets at the lab/grant level.
* Studies subdivide projects into experimental or thematic areas.
* Collections bundle related datasets, either collaboratively or privately.
* Funding sources tie datasets to their financial support, improving accountability and reporting.
 
This structure parallels a traditional file system, making it intuitive for users while supporting robust metadata tracking and analysis across the NAN platform.

Revision as of 16:46, 29 May 2025

Overview

NAN provides a structured, hierarchical approach to organizing NMR data (datasets and samples) in the Data Browser which is accessible from the Navigation Pane. This allows datasets and samples to be organized in a hierarchal manner similar to how users organize data on a file system.

Projects

Navigation Pane

Projects are the top-level organizational unit and are created by a Principal Investigator (PI) or a PI Delegate. Projects features include:

  • The ability to link to one or more funding sources (e.g., NIH, NSF)
  • Serving as containers for Studies, and Collections
    • Datasets and samples may also be added directly to a Project in the "default collection" for that Project
  • The ability to grant all lab-group users access to the Project or to apply fine-grain access control to the Project data
  • Allowing the Project and Study to be selected at the time of data collection through the NDTS GUI
    • Data can be later organized into Projects, Studies, and Collections through the Data Browser

Projects are ideal for grouping data related to a particular grant, research theme, or initiative. Associating datasets and sample with projects allows for clear attribution of funding and enables both investigators and facilities to generate accurate usage and funding reports.

Studies

Studies are mid-level containers that exist within Projects. They can be created by any user with access to the parent Project.

  • Each Study belongs to a single Project
  • Studies can contain Collections
    • Datasets and samples may also be added directly to the Study in the "default collection" for that Study

Collections

Collections are containers that serve two purposes:

  • Within a Study: Collections allow a further level of organization underneath Studies
  • Independent Use: Allow individuals to organize datasets privately, even if those datasets are part of shared projects

Adding Datasets and Samples to Projects, Studies, or Collections

Funding Sources

Funding sources may be added by PIs (or PI Delegates) and linked directly to Projects. When a dataset is linked to a Project, and that Project is associated with one or more funding sources, those funding relationships are inherited. This structure assists with downstream reporting, including generation of reports for funding agencies and internal accounting by NMR facilities.

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