You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+6-10Lines changed: 6 additions & 10 deletions
Original file line number
Diff line number
Diff line change
@@ -1,22 +1,18 @@
1
-
# ESS-DIVE Model Data Archiving Guidelines v1.1.0
1
+
# ESS-DIVE Model Data Archiving Guidelines v1.1.1
2
2
3
-
These guidelines were informed by input from the U.S. Department of Energy's (DOE) Environmental System Science (ESS) land modeling community and are associated with the manuscript by Simmonds et al. (In Revision). The terrestrial modeling community has unique challenges related to data archiving because the models and simulations they use span scientific domains and address a diversity of research questions. By working with DOE terrestrial modelers we created these guidelines to help users determine which components of model simulations to archive, how to bundle files for data publication, and we discuss data repository tools that can facilitate future archiving of model data. We envision the recommendations being applied to other types of models beyond the terrestrial modeling community. Following the guidelines will help modelers have a clear understanding of what components of their model to archive and also enable model data reuse and integration.
3
+
These guidelines were informed by input from the U.S. Department of Energy's (DOE) Environmental System Science (ESS) land modeling researchers and are associated with the manuscript by Simmonds et al. ([http://doi.org/10.5334/dsj-2022-003](http://doi.org/10.5334/dsj-2022-003)). Terrestrial modeling researchers has unique challenges related to data archiving because the models and simulations they use span scientific domains and address a variety of research questions. By working with DOE terrestrial modelers we created these guidelines to help users determine which components of model simulations to archive, how to bundle files for data publication, and we discuss data repository tools that can facilitate future archiving of model data. We envision the recommendations being applied to other types of models beyond the terrestrial modeling researchers. Following the guidelines will help modelers have a clear understanding of what components of their model to archive and also enable model data reuse and integration.
4
4
5
-
These guidelines are the culmination of the aforementioned efforts, they will evolve over time based on ongoing community engagement and feedback received on the material in this GitHub repository.
5
+
These guidelines are the culmination of the aforementioned efforts, they will evolve over time based on feedback received on the material in this GitHub repository.
6
6
7
7
## Getting started
8
8
To begin using the model data archiving guidelines, visit the [instructions page](instructions.md). There you will find the step-by-step procedure for making decisions about which files to archive.
9
9
10
-
## Updates in v1.1.0
11
-
Updates to v1.1.0 as of November 18th 2021 include:
12
-
13
-
- Removing figure of model data archiving guidelines and replacing the figure with a text-based description of the guidelines based on feedback.
14
-
- Updating citation for our `In Revision` manuscript and adding two co-authors.
15
-
- Updating figure of file-level metadata guidance with new recommendations from v1.0.0 of the file-level metadata reporting format.
10
+
## Updates in v1.1.1
11
+
In March 2025, a patch version of the Model Data Archiving Guidelines was made to improve the overall experience with the associated reporting format documentation. Additionally, the standard reporting format keyword and standard term were added to the instructions.md file.
16
12
17
13
## How to contribute
18
14
19
-
If you would like to suggest a change to the model data archiving guidelines, please submit a GitHub issue using one of our [issue templates](https://github.com/ess-dive-community/essdive-community-space-guide/issues/new/choose).
15
+
If you would like to suggest a change to the model data archiving guidelines, please submit a [GitHub issue](https://github.com/ess-dive-workspace/essdive-model-data-archiving-guidelines/issues).
20
16
21
17
If you would prefer to submit feedback over email, or for any other inquiries contact us at ess-dive-support [at] lbl.gov.
Copy file name to clipboardExpand all lines: instructions.md
+6-4Lines changed: 6 additions & 4 deletions
Original file line number
Diff line number
Diff line change
@@ -19,7 +19,7 @@ We have organized the instructions into three sections.
19
19
3.**Model Code** – Include source code(s) used to generate results in paper unless the code is publicly available elsewhere (e.g., GitHub or Zenodo), in which case include specific version, hash information, or citation allowing the exact source code to be recovered. Include links to any external model codes in the metadata and user guide. If published on GitHub, provide the commit hash associated with the specific version. If available, include a reference (with DOI) to the tagged release in an established data repository.
20
20
4.**Scripts** – Include run scripts if they are necessary for running the model to generate published results. Optionally also include scripts necessary for reproducing the parameters and model configuration for the simulations and input files, for post-processing model outputs to produce the results (e.g., tables and figures in a publication), and for executing the entire workflow used to generate the model results.
21
21
3.**Optional Files** –
22
-
1.**\*File-level metadata** (FLMD) – Include descriptions of all the data files as one file catalog (e.g., by using the [file-level metadata reporting format](https://github.com/ess-dive-community/essdive-file-level-metadata). Optionally also include one data dictionary for each file type within the data publication describing columns and variables.
22
+
1.**\*File-level metadata** (FLMD) – Include descriptions of all the data files as one file catalog (e.g., by using the [file-level metadata reporting format](https://github.com/ess-dive-workspace/essdive-file-level-metadata). Optionally also include one data dictionary for each file type within the data publication describing columns and variables.
23
23
2.**Model Testing Data** - Include data files of observations from each location simulated to produce the results in the paper in an open source format (e.g., CSV). If the data are publicly available in another repository, include a reference (with DOI) in the metadata and user guide.
24
24
3.**Documentation or user guide** - Include a readme file (e.g., pdf) for each site-specific or large-scale simulation and provide details on the model name and version number, and required data or code dependencies. Also include a citation for the model code and licensing information if applicable.
25
25
4.**Use in publications** - If publishing model results, cite and include links to the data and code publication(s) in the Data or Code Availability section. Include the citations of the dataset and code publication(s) with DOI(s) in the references section. Examples of Data or Code Availability statements associated with the journal articles researched in this study are provided in Supplemental Table 1 of the associated manuscript.
@@ -40,12 +40,14 @@ The decision tree below provides suggestions for which files to archive, and whe
40
40
41
41
### 3. File-Level Metadata
42
42
43
-
We suggest researchers archiving model data include 2 types of file-level metadata. For more details see [ESS-DIVE File-level Metadata](https://github.com/ess-dive-community/essdive-file-level-metadata). Note that one possible option is to use ncdump to create a metadata CSV file for NetCDF and HDF5 files.
43
+
We suggest researchers archiving model data include 2 types of file-level metadata. For more details see [ESS-DIVE File-level Metadata](https://github.com/ess-dive-workspace/essdive-file-level-metadata). Note that one possible option is to use ncdump to create a metadata CSV file for NetCDF and HDF5 files.
44
+
45
+
Within the FLMD file, the [standard](https://github.com/ess-dive-workspace/essdive-file-level-metadata/blob/main/RF_FLMD_Standard_Terms.csv) for each sample ID and metadata reporting format related file should be **ESS-DIVE Model Data v1**. If submitting your dataset to ESS-DIVE, include the keyword **ESS-DIVE Model Data Archiving Guidelines** in the package-level metadata.
44
46
45
47
.png>)
46
48
47
-
¹ For more details on how to provide file-level metadata [see here](https://github.com/ess-dive-community/essdive-file-level-metadata)\
48
-
² Details for the [CSV reporting format](https://github.com/ess-dive-community/essdive-csv-structure)\
49
+
¹ For more details on how to provide file-level metadata [see here](https://github.com/ess-dive-workspace/essdive-file-level-metadata)\
50
+
² Details for the [CSV reporting format](https://github.com/ess-dive-workspace/essdive-csv-structure)\
49
51
³ Report the Local Standard Time offset (+/- #hours) or time zone (abbreviations allowed). Do not report time using Daylight Savings Time\
50
52
⁴ yyyy-mm-dd\
51
53
⁵ If providing a non-point location (WGS84 decimal degrees)\
0 commit comments