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<\/a><\/span><\/div><\/div><\/div><\/div>FAQs<\/strong><\/h1>\n<\/div>\nHow does EDX address data security?<\/h2>\n<\/section>\n<\/div>\n- EDX uses a tiered approach to data security.<\/li>\n
- Private and Semi-Private data is organized in workspaces.<\/li>\n
- Public data is organized in submissions and is accessible to registered and unregistered users.<\/li>\n
- All data resources contain a data license.<\/li>\n
- All published submissions contain a data citation.<\/li>\n
- EDX is not recommended for classified data.<\/li>\n<\/ul>\n<\/div>
![](\"https:\/\/edx.netl.doe.gov\/reference-shelf\/wp-content\/uploads\/2022\/05\/Picture1-1.png\" "\\"Picture1\\"")
<\/span><\/div><\/div><\/div><\/div>\nDoes EDX have a user registration review process?<\/h2>\n<\/section>\n<\/div>Yes, EDX has 2 separate user review workflows.<\/p>\n
\n- Registrants who register with a .GOV email address obtain immediate inclusion as soon as they click on the validation link sent to their .GOV email address.<\/li>\n
- Registrants who register with a non-.GOV email address must list an NETL POC that can verify that they are actively engaged in NETL\/FE funded research. If the NETL POC approves the account the registrant will receive an email from EDX with a validation link.\u00a0 As soon as they click on the validation link the account will be activated.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
\nDoes EDX have a submission review process?<\/h2>\n<\/section>\n<\/div>Yes, EDX has 2 separate submission review workflows.<\/p>\n
\n- Submissions affiliated with NETL\/FE funded research must be reviewed and approved by an NETL\/FE Project Manager prior to publication,<\/li>\n
- Submissions not affiliated with NETL\/FE funded research must be reviewed and approved by an EDX Reviewer prior to publication.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
\nHow often does EDX release new features and functionality?<\/h2>\n<\/section>\n<\/div>EDX has periodic version releases (typically every month) that provide new features, functionality, and security patches.<\/p>\n<\/div>
\nIf you have a feature enhancement that you would like to suggest please contact edxsupport@netl.doe.gov<\/a><\/p>\n<\/div><\/div><\/div><\/div>\nWhat\u2019s a DOI and what should I know about citing datasets?<\/h2>\n<\/section>\n<\/div>Data citation is analogous to the citation of any other published work. Cite the dataset (and software) supporting your research using a standard citation in the reference section of your published work. This gives credit to the data authors and make research datasets findable and accessible.<\/p>\n<\/div>
Most journals now provide standards for how to cite datasets (e.g. and most data repositories automatically generate a citation when a dataset is published, which includes the data authors, the repository where the data are archived, and a persistent identifier, most often a digital object identifier (DOI<\/a>).<\/p>\n<\/div>A DOI is a unique string of numbers, letters, and symbols assigned by a central non-profit registration agency to provide a persistent link to the location of content (such as a paper or dataset) on the Internet. DOIs are standardized by the International Organization for Standardization (ISO) and are used to unambiguously identify (and access) published content, usually by resolving to a URL.<\/p>\n<\/div>
You have likely seen DOIs in the references of journal articles, probably in the form of a url, e.g. https:\/\/doi.org\/10.1000\/182, though they can also be found in the form of \u201cdoi:\u201d followed by the alphanumeric identifier, e.g. doi:10.1000\/182<\/p>\n<\/div>
DOIs are a widely, internationally adopted way to provide persistent, unambiguous links to content online and should be included when citing datasets.<\/p>\n<\/div>
The Joint Declaration of Data Citation Principles provides general guidance on why data citation is important and how it is defined.<\/p>\n<\/div>
You can also find more information, including specific examples of how to cite datasets, here: https:\/\/libguides.princeton.edu\/citingdata<\/a><\/p>\n<\/div>\nIf you have any questions that aren’t answered here, please contact edxsupport@netl.doe.gov<\/a>.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
How does EDX address data security?<\/h2>\n<\/section>\n<\/div>\n- EDX uses a tiered approach to data security.<\/li>\n
- Private and Semi-Private data is organized in workspaces.<\/li>\n
- Public data is organized in submissions and is accessible to registered and unregistered users.<\/li>\n
- All data resources contain a data license.<\/li>\n
- All published submissions contain a data citation.<\/li>\n
- EDX is not recommended for classified data.<\/li>\n<\/ul>\n<\/div><\/span><\/div><\/div><\/div><\/div>
\nDoes EDX have a user registration review process?<\/h2>\n<\/section>\n<\/div>Yes, EDX has 2 separate user review workflows.<\/p>\n
\n- Registrants who register with a .GOV email address obtain immediate inclusion as soon as they click on the validation link sent to their .GOV email address.<\/li>\n
- Registrants who register with a non-.GOV email address must list an NETL POC that can verify that they are actively engaged in NETL\/FE funded research. If the NETL POC approves the account the registrant will receive an email from EDX with a validation link.\u00a0 As soon as they click on the validation link the account will be activated.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
\nDoes EDX have a submission review process?<\/h2>\n<\/section>\n<\/div>Yes, EDX has 2 separate submission review workflows.<\/p>\n
\n- Submissions affiliated with NETL\/FE funded research must be reviewed and approved by an NETL\/FE Project Manager prior to publication,<\/li>\n
- Submissions not affiliated with NETL\/FE funded research must be reviewed and approved by an EDX Reviewer prior to publication.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
\nHow often does EDX release new features and functionality?<\/h2>\n<\/section>\n<\/div>EDX has periodic version releases (typically every month) that provide new features, functionality, and security patches.<\/p>\n<\/div>
\nIf you have a feature enhancement that you would like to suggest please contact edxsupport@netl.doe.gov<\/a><\/p>\n<\/div><\/div><\/div><\/div>\nWhat\u2019s a DOI and what should I know about citing datasets?<\/h2>\n<\/section>\n<\/div>Data citation is analogous to the citation of any other published work. Cite the dataset (and software) supporting your research using a standard citation in the reference section of your published work. This gives credit to the data authors and make research datasets findable and accessible.<\/p>\n<\/div>
Most journals now provide standards for how to cite datasets (e.g. and most data repositories automatically generate a citation when a dataset is published, which includes the data authors, the repository where the data are archived, and a persistent identifier, most often a digital object identifier (DOI<\/a>).<\/p>\n<\/div>A DOI is a unique string of numbers, letters, and symbols assigned by a central non-profit registration agency to provide a persistent link to the location of content (such as a paper or dataset) on the Internet. DOIs are standardized by the International Organization for Standardization (ISO) and are used to unambiguously identify (and access) published content, usually by resolving to a URL.<\/p>\n<\/div>
You have likely seen DOIs in the references of journal articles, probably in the form of a url, e.g. https:\/\/doi.org\/10.1000\/182, though they can also be found in the form of \u201cdoi:\u201d followed by the alphanumeric identifier, e.g. doi:10.1000\/182<\/p>\n<\/div>
DOIs are a widely, internationally adopted way to provide persistent, unambiguous links to content online and should be included when citing datasets.<\/p>\n<\/div>
The Joint Declaration of Data Citation Principles provides general guidance on why data citation is important and how it is defined.<\/p>\n<\/div>
You can also find more information, including specific examples of how to cite datasets, here: https:\/\/libguides.princeton.edu\/citingdata<\/a><\/p>\n<\/div>\nIf you have any questions that aren’t answered here, please contact edxsupport@netl.doe.gov<\/a>.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
- \n
- EDX uses a tiered approach to data security.<\/li>\n
- Private and Semi-Private data is organized in workspaces.<\/li>\n
- Public data is organized in submissions and is accessible to registered and unregistered users.<\/li>\n
- All data resources contain a data license.<\/li>\n
- All published submissions contain a data citation.<\/li>\n
- EDX is not recommended for classified data.<\/li>\n<\/ul>\n<\/div><\/span><\/div><\/div><\/div><\/div>
\n Does EDX have a user registration review process?<\/h2>\n<\/section>\n<\/div>
Yes, EDX has 2 separate user review workflows.<\/p>\n
- \n
- Registrants who register with a .GOV email address obtain immediate inclusion as soon as they click on the validation link sent to their .GOV email address.<\/li>\n
- Registrants who register with a non-.GOV email address must list an NETL POC that can verify that they are actively engaged in NETL\/FE funded research. If the NETL POC approves the account the registrant will receive an email from EDX with a validation link.\u00a0 As soon as they click on the validation link the account will be activated.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
\n Does EDX have a submission review process?<\/h2>\n<\/section>\n<\/div>
Yes, EDX has 2 separate submission review workflows.<\/p>\n
- \n
- Submissions affiliated with NETL\/FE funded research must be reviewed and approved by an NETL\/FE Project Manager prior to publication,<\/li>\n
- Submissions not affiliated with NETL\/FE funded research must be reviewed and approved by an EDX Reviewer prior to publication.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
\n How often does EDX release new features and functionality?<\/h2>\n<\/section>\n<\/div>
EDX has periodic version releases (typically every month) that provide new features, functionality, and security patches.<\/p>\n<\/div>
\nIf you have a feature enhancement that you would like to suggest please contact edxsupport@netl.doe.gov<\/a><\/p>\n<\/div>
<\/div><\/div><\/div>\n What\u2019s a DOI and what should I know about citing datasets?<\/h2>\n<\/section>\n<\/div>
Data citation is analogous to the citation of any other published work. Cite the dataset (and software) supporting your research using a standard citation in the reference section of your published work. This gives credit to the data authors and make research datasets findable and accessible.<\/p>\n<\/div>
Most journals now provide standards for how to cite datasets (e.g. and most data repositories automatically generate a citation when a dataset is published, which includes the data authors, the repository where the data are archived, and a persistent identifier, most often a digital object identifier (DOI<\/a>).<\/p>\n<\/div>
A DOI is a unique string of numbers, letters, and symbols assigned by a central non-profit registration agency to provide a persistent link to the location of content (such as a paper or dataset) on the Internet. DOIs are standardized by the International Organization for Standardization (ISO) and are used to unambiguously identify (and access) published content, usually by resolving to a URL.<\/p>\n<\/div>
You have likely seen DOIs in the references of journal articles, probably in the form of a url, e.g. https:\/\/doi.org\/10.1000\/182, though they can also be found in the form of \u201cdoi:\u201d followed by the alphanumeric identifier, e.g. doi:10.1000\/182<\/p>\n<\/div>
DOIs are a widely, internationally adopted way to provide persistent, unambiguous links to content online and should be included when citing datasets.<\/p>\n<\/div>
The Joint Declaration of Data Citation Principles provides general guidance on why data citation is important and how it is defined.<\/p>\n<\/div>
You can also find more information, including specific examples of how to cite datasets, here: https:\/\/libguides.princeton.edu\/citingdata<\/a><\/p>\n<\/div>
\nIf you have any questions that aren’t answered here, please contact edxsupport@netl.doe.gov<\/a>.<\/p>\n<\/div>
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