Deposit and publish your data

If your organization provides authentication through Feide, log in with Feide.
If your organization does not provide Feide authentication, log in with ORCID.
For TROLLing, follow these instructions.

• • Log in with Feide: Go to DataverseNO, and click on Log In (in the upper right hand corner). To the right of Your Institution, select Feide – Norwegian educational institutions, and click on Continue. At first-time log-in, you are asked to approve Feide/Dataporten to forward user information about you. Once you have approved this request, a user account will be created for you in the DataverseNO repository.
    
    Note! If your institution is not listed in the log-in menu, please ask the IT user support at your institution to activate Feide log-in for DataverseNO.
    
    After log-in, you will be granted deposit access to DataverseNO. If your organization is a DataverseNO partner institution, you will have deposit access to the institutional collection of your organization. If your organization is not partnering with DataverseNO, you will have deposit access to the top collection in DataverseNO. If you do not have deposit access to any collection, contact the DataverseNO team at support@dataverse.no.

• Log in with ORCID: Go to DataverseNO, and click on Log In (in the upper right hand corner). Under Other options, choose ORCID and click on Create or Connect your ORCID. Log in with your ORCID username and password. If you do not have a ORCID account, you can create one by clicking on Register now. Make sure you use your institutional email address, otherwise you will not be granted automatic deposit access to DataverseNO.
  
  After log-in, click your user name in the top right corner, select Account Information, and click the Send Verification Email button. You will get an email asking you to verify your email address. If you have chosen your institutional email address you will after verification be granted deposit access to DataverseNO. If your organization is a DataverseNO partner institution, you will have deposit access to the institutional collection of your organization. If your organization is not partnering with DataverseNO, you will have deposit access to the top collection in DataverseNO. If you do not have deposit access to any collection, contact the DataverseNO team at support@dataverse.no.

If you are not affiliated with a Norwegian research organization, you may choose one of the log-in options below. With the exception of TROLLing, only researchers from Norwegian research organizations and international collaborators can get deposit access to DataverseNO. For TROLLing, follow these instructions.

• • Log in with eduGAIN: Go to DataverseNO, and click on Log In (in the upper right hand corner). Under Other options, choose eduGAIN and click on Log in with eduGAIN. Choose International provider (eduGAIN) and look up your country and the name of your organization and click on Continue. Log in with your institutional credentials.
    
    Note! If your institution is not listed in the log-in menu, please ask the IT user support at your institution to activate eduGAIN log-in for DataverseNO.
    
    After log-in, a DataverseNO user account will be created for you, but you will not have deposit access yet. Fill in and submit this form to request deposit access. As a rule, your request will be processed within three working days. For questions, please contact the DataverseNO team at support@dataverse.no.

• Log in with ORCID: Go to DataverseNO, and click on Log In (in the upper right hand corner). Under Other options, choose ORCID and click on Create or Connect your ORCID. Log in with your ORCID username and password. If you do not have a ORCID account, you can create one by clicking on Register now.
  
  After log-in, a DataverseNO user account will be created for you, but you will not have deposit access yet. Fill in and submit this form to request deposit access. As a rule, your request will be processed within three working days. For questions, please contact the DataverseNO team at support@dataverse.no.

• Once you have logged in to DataverseNO (see step 1), choose the collection in which you are supposed to deposit your data:
  • If you are an employee, student or affiliate at one of the DataverseNO partner institutions, choose the appropriate institutional collection (e.g. the UiT collection)
  • If you are a linguist and have got access to TROLLing, choose TROLLing (https://trolling.uit.no/).
  • All other users are supposed to choose the top-level collection (DataverseNO).
• Once you are in the right collection, you can create a dataset draft by clicking on the Add Data button on the right hand side, and choose New Dataset. The Add Data button is only visible if you are in the right collection.
• If you want to test how depositing into DataverseNO works, please use our sandbox at demo.dataverse.no.

Information about the various metadata fields can be obtained by placing the cursor on the field names (a roll-over window appears). Here is some more information about some of the fields:

• Title:
  • Enter a title for your dataset.
  • If your dataset is used in a publication, you may enter the title of the publication, and click on Add “Replication Data for” to Title. Instead of “Replication Data for: ” you may use “Background Data for: “, “Supporting Data for: ” or another suitable prefix.
• Author:
  • In the Name field, you can look up the name of an author by connecting to the Open Researcher and Contributor ID (ORCID). Enter / Start typing the name (at least three letters), and select the correct author from the results list. If the name does not appear with an associated ORCID, we recommend that you create an ORCID. If the name appears with an associated ORCID, but the name format is not correct or the way you want it to be, we recommend that you update the name on your ORCID profile. Once you have created or updated your ORCID, you can look up your name again in the Author – Name field. If you do not want to use ORCID, you can enter the name manually. You do this by entering the full name in inverted form, e.g., “Einstein, Albert”, and then selecting this name as it appears at the top of the results list, just below the search field.
  • In the Affiliation field, you can look up the name of your institution by connecting to the Research Organization Registry (ROR). If the name of your institution does not appear with an associated ROR ID, we recommend that you ask your institution to create such an ID. If the name appears with an associated ROD ID, but the name format is not correct, we recommend that you ask your institution to update their ROR entry. Alternatively, you can enter the name manually. You do this by entering the full name, e.g. “University of Nowhere”, and then selecting this name as it appears at the top of the results list, just below the search field.
  • If you have entered the author name manually, we recommend that you also enter the identifier manually. In this case, select the correct type in the Identifier Type field (e.g. ORCID), and enter the identifier in the Identifier field. For ORCID, you should enter the full URL, e.g., “https://orcid.org/0000-0001-0002-0003”.
• Contact:
  • Enter a contact email address. Also add the name of the contact person or research group/institution.
• Description:
  • Enter information about the data to be uploaded. Avoid using certain HTML tags and other special characters (e.g. [ or ]). If you need to add paragraphs, add the HTML tags <p> and </p> around each paragraph.
  • If relevant, enter information about the data collection/methodology here.
  • If applicable, also enter the publication abstract. The abstract should be entered into a second description field, which can be added by clicking the plus button to the right. NB! If your article is only submitted and not accepted (yet), DO NOT mention the name of the journal it has been submitted to.
• Keyword:
  • Information such as the subject area(s) (e.g. morphology or zoology) and the statistical method(s) may be entered into the keyword field.
  • Each keyword needs to be entered separately. Please click the plus button to enter more keywords.
  • Vocabulary and Vocabulary URL are not mandatory and may be left empty.
• Related Publication:
  • If the files you are depositing are the background data for a publication, you should include a reference to the publication here.
    • In the Relation Type field, select Is Supplement To
    • In the Citation field, paste the complete reference to the publication, including the URL, usually at the very end.
    • In the Identifier Type field, select the type of identifier the publication has. Often it will be DOI.
    • In the Identifier field, paste the identifier itself, e.g. “10.123455/12345” (for DOI).
    • In the URL field, paste the entire URL to the identifier, e.g. “https://doi.org/10.123455/12345” (for DOI).
  • Note! If your manuscript has been submitted for review but has not yet been accepted, DO NOT list the name of the journal or publisher. Instead you may simply write “Submitted for review” or similar.
  • Note! If the review of your manuscript is going to be double blind (both author and reviewer are anonymous), you must add a note about it in the Related Publication field. This way, the curators can assist you in anonymizing the dataset.
  • (When adding more than one publication, only the first of them will be visible on the overview page of the dataset. If you don’t want to highlight any of the publications in this way, you may add the following text in the first publication field: “Click Metadata tab below to see related publication(s).” This text will show up on the overview page, and to see the actual publications, user will have to click the Metadata tab.)
• Depositor and Deposit Date:
  • These fields are pre-filled. Do not change them. Deposit Date refers to the date when the dataset first was uploaded to the repository.

In the Terms tab, you can define a license or terms of use for your dataset. In line with the national licensing recommendations (see page 40 of the NFR report Hvordan skal vi dele forskningsdata? (in Norwegian)), we recommend placing as few restrictions as possible on data reuse. We therefore recommend Creative Commons Zero (CC0) as the license for data reuse in DataverseNO unless you have to deal with licenses or terms of use for sources you have used that do not make it possible to choose CC0 for your derived data. CC0 allows for maximum reuse and visibility, but also means that there are no legal restrictions on the reuse of your data. However, as also stated in the Terms tab, common academic practice and basic research ethics require that use of data be credited through attribution. If the CC0 license is not suitable for your data, you can select another standard license from the drop-down menu in the License/Data Use Agreement field in the Terms tab. If none of these standard licenses are suitable for your dataset, please contact user support at your institution.

• Before uploading your data, we strongly advise you to store and document your data according to best practice. Please refer to the section Prepare your data in our Deposit Guide.
• A single dataset must not contain more than 300 files. If you need to deposit more files, you may opt for one of these alternatives:
  • Pack the files into one or more (max. 300) container files.
  • Distribute your data files across multiple (sub-)datasets.
• Note! If your dataset contains a lot of files, it is convenient to place the ReadMe file on top of the file list. To achieve this, you can add an initial zero to the file name, e.g. “0_ReadMe.txt”.
• For container files, please adhere to the following recommendations:
  • Create archives (container files) only with extensions .zip or .tar (do not use .7z, tar.gz, .rar, and so on).
  • Do not use archives within your ZIP or tar files.
  • Please create your archives without any data compression (compression level “store”)
  • Avoid encrypting your files with a password.
• DataverseNO has no upper size limit for a dataset. However, below are some advices and procedures for handling uploads of large files. The following advice, size limits and procedures apply to single files, file uploads and datasets:
  • The size of individual files should not exceed 100 GB. Bigger files can create problems for others when it comes to downloading and reusing data.
  • A file upload should not exceed 200 GB in total size to minimize the likelihood that errors will occur when transmitting the data.
• If you are not able to upload your data according to the guidelines above, or if your dataset exceeds 200 GB, contact the support services of your home institution for more information about how to upload the data.
• Once you are ready for uploading your files, select the Files tab and click the Upload Files button to the right.
• If you only need to upload single files, click the Select Files to Add button, and choose your files from your computer or server space. You may select multiple files using Shift + arrow keys or Ctrl + mouse click.. Instead of clicking the Select Files to Add button, you can drag your files into the area marked with Drag and drop files here. When you have uploaded all the files in your dataset, click on Save Dataset. A draft of your dataset will be saved.
• If your files are organized in folders (and sub-folders) and you want to keep the folder structure in your dataset, click the Upload a Folder button. After that, click on Select a Directory. Here your select the folder which contains the folders and files you want to upload. Here is an example:MyData
  |– Folder01
  |– Folder02
  |– 0_README.txtIf you want to upload the file 0_README.txt and the folders Folder01 and Folder02, each of them containing files, select the top folder MyData for folder upload. When you select this folder, you won’t see any of the folder content in the upload window which will appear. The top level in the selected folder, i.e., the folder name MyData, will not be uploaded/reflected in the dataset, only the content in the folder. In the example above, your dataset will look like this after upload:|– Folder01
  |– Folder02
  |– 0_README.txtOnce you have selected the correct folder, confirm the upload by clicking on Upload. Your files will be listed, and if the list looks fine, click on Start Uploads.Note! If you upload large files, the upload may take a long time. Do not close the upload window before you get the following confirmation on green background: “Upload complete, all files in dataset. Close this window and refresh your dataset page to see the uploaded files.”.
• Note! If you have uploaded a folder to keep your folder structure, you need to select Tree View to be able to see the folder structure: Click the Tree button to the right of Change View on top of the file overview.

Once you have created a dataset draft, we recommend that enter more information about the dataset. This will increase the chance of others being able to discover your data and interpreting and reusing it correctly.

Select the Metadata tab and click the Add + Edit Metadata button. To the extent applicable, we recommend that you enter information in the fields below. When you are finished, click the Save Changes button at the bottom of the page.

CITATION METADATA

• Language:
  • Select the language you have used to describe your data. Often this will be English.
• Contributor:
  • Here you should credit those who have contributed to the dataset, including those who are not to be listed as authors. In the Type field you can choose what role they have had (e.g. Data Collector).
• Grant Information:
  • Note! Important information about possible funding. Use the full name of the funder, e.g. “The Research Council of Norway”.
• Time Period Covered:
  • What time period is the data from or about?
• Date of Collection:
  • When was the data collected / generated?
• Data Type
  • What type of data is it? Hover your mouse over the question mark to the right of the field name, and you will see some suggestions, e.g. survey data, experimental data, observation data.
• Related Material:
  • Material related to the dataset.
• Related Datasets:
  • Other data sets related to the dataset. This may be your own or others’ data sets. If available, use full reference, including persistent identifier (e.g. DOI).
• Data Sources:
  • If you have not generated or collected the data yourself, enter information here about your sources. This can for example be an archive, a corpus, or a website from which you downloaded the data. Also inform about the license or Terms of Use for the used sources. The curator at your home institution can help you with this.

GEOSPATIAL METADATA

Many datasets are related to one or more geographical locations. Entering geographical information in this section will make your dataset more discoverable in search engines that use a geographical entrance point, e.g. a map. You can specify a geographic location under Geographic Coverage, and / or enter coordinates under Geographic Bounding Box. If you specify a Geographic Bounding Box, you need to fill in all four fields. A geographical point has the same value for West Longitude and East Longitude, and the same value for North Latitude and South Latitude. A box, on the other hand, has four different values ​​in these fields. The values ​​must be specified as decimal degrees. For example, mainland Norway has these values: West Longitude: 4.09; East Longitude: 31.76; North Latitude: 71.38; South Latitude: 57.76. Note: Use period (“.”) as decimal separator, not comma. The value for West Longitude must be lower than the value for East Longitude. The value for South Latitude must be lower than the value for North Latitude.

DOMAIN-SPECIFIC METADATA

In addition, we encourage you to register domain-specific metadata where applicable. Currently, there are three domain-specific metadata schemas  in DataverseNO:

• Social Science and Humanities Metadata
• Astronomy and Astrophysics Metadata
• Life Sciences Metadata
• 3D Objects Metadata

DataverseNO is a repository for open data. This means that all uploaded files must be made openly available. However, you may restrict access to (some of) your files for a period. During this embargo period the selected files will not be accessible, but the metadata about your dataset will be visible. In order to restrict access to a file, follow these steps:

• Upload the file (see the step Upload data files above).
• Select the file by checking the box to the left of the file name.
• Click on the Edit files button above the file section to the right, and choose Restrict.
• When you have restricted all necessary files, click on Save Dataset, and enter the terms of access in the pop-up window. Check the box Request Access if you want users to be able to contact you for requesting access. Click Continue.
• Select the file(s) once again by checking the box to the left of the file name(s).
• Click on the Edit files button above the file section to the right, and choose Tags. Enter into the Custom File Tag field: “Not available until YYYY-MM-DD”. Click on Apply and Save Changes.
• Specify the date for when your file(s) will be made accessible using the metadata field Distribution Date (see the step Enter more metadata above).