Journal of Marketing: Submitting Replication Packets for Revisions

Preparing Your Replication Packet

For more details on the requirements of the replication packet, see Appendix 1 of JM‘s Policy for Research Transparency and the File Organization Instructions.

All submissions to JM’s Dataverse must include the following:

1. A README file that includes
   • A list of all file names with brief descriptions.
   • Clear instructions for replicating the results reported in the manuscript using the data, code, and other methodological materials provided by the authors.
     • If the research relies on data sourced from licensed databases (e.g., Census Bureau, Compustat, CRSP, Factset, WRDS), include detailed instructions for accessing and linking to licensed data sufficient for replication.
     • If multiple sources of data were combined, describe how intermediate datasets were combined to create the final dataset.
     • If no scripts or code were used to collect or analyze the data, identify the analysis tools and procedures used so that an informed reader can replicate the analysis.
   • A description of computing resources required to replicate the results (adapted from Social Science Data Editors Template README):
     • Identify all software, including version numbers, used to conduct the analyses for each study.
     • Describe computer hardware used by the authors (operating system, CPU, memory and disk space). If multiple computers were used in parallel to conduct the analyses, please provide the specification for each computer.
     • If more than 5 minutes are required to run any of the analyses, please provide the estimated time required to run the analyses.
2. Any scripts or code used to collect or analyze the data.
3. If primary data (e.g., surveys, experiments, field studies, web scraping) was collected, the raw data analyzed for all quantitative results reported in the paper (e.g., as qsf, Excel, ASCII, or text files).
4. Any additional files or methodological materials required to replicate the results reported in the paper.

Note: All materials uploaded to JM‘s Dataverse should be provided in English.

If your data or code files are already publicly available on another trusted repository (Harvard Dataverse, OSF, Zenodo, Figshare), you do not have to reupload all the files to JM’s Dataverse. Your submission to JM’s Dataverse must include

• A README file that meets the requirements outlined above.
• The permanent link (i.e., not anonymized for review) to your dataset in your submission’s metadata (for details, see Step 8, Submitting Your Materials to JM’s Dataverse).

If you are proposing an Alternative Disclosure Plan, your submission to JM’s Dataverse must include

• A README file that meets the requirements outlined above.
• The Alternative Disclosure Plan.
• All files and information as agreed on in your Alternative Disclosure Plan.

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Submitting Your Replication Packet to JM’s Dataverse

1. Log in to an existing Dataverse account or sign up for one at dataverse.harvard.edu.
2. Navigate to JM’s Dataverse collection at dataverse.harvard.edu/dataverse/jom.
3. Select the Add Data button on JM’s Dataverse and choose New Dataset.
   Note: There are two Add Data buttons. Select the button that is lower on the page and located within JM’s Dataverse, which is outlined in the following screenshot.
   
4. Ensure the Host Dataverse is “Journal of Marketing” (see following screenshot).
   
5. Enter metadata to describe your dataset (fields marked with an asterisk are required):
   • Title*: Select Add “Replication Data for” to Title and enter the title as it appears on ScholarOne.
   • Other Identifier*: Enter the manuscript ID from ScholarOne in the “Identifier” field (e.g., JM-23-0001.R3, JM-23-0115.R1).
   • Author*: Use the + button to add fields and enter all author names and affiliations. You may also add identifiers such as ORCIDs.
   • Point of Contact*: Enter the name, affiliation, and email of the corresponding author and/or the author to contact about the dataset.
   • Description*: Describe the purpose, nature, and scope of the dataset. If you are proposing an Alternative Disclosure Plan, indicate that here.
   • Subject*: Select the relevant subjects.
   • Keyword: Enter relevant keywords.
   • Related Publication: Enter information about other publications that use this dataset.
   • Notes: Enter any additional notes about the dataset.
   • Software*: Use the + button to add fields and enter the name and version number of all software and packages used.
6. Add files
   • Select or drag and drop files and folders to upload them.
   • Edit the file name and enter a brief description.
     Note: File names, paths, and descriptions will be public, even if the file itself is restricted, so please do not include any confidential information in the file names (e.g., the name of a company).
   • Organize your files by uploading a zip file with folders (see File Organization Instructions) or adding/editing the File Path (for more information, see “File Path” section in the Dataverse User Guide).
   • Add tags or provenance information by selecting the three vertical dots.
7. Select Save Dataset.
8. On the next screen, select the Metadata tab, then select Add + Edit Metadata and add any additional information about your dataset (only fields marked with an asterisk are required). Select Save Changes when you are done.
   If your dataset, files, or code are publicly available on another trusted repository (Harvard Dataverse, OSF, Zenodo, Figshare), enter the permanent link (i.e., not anonymized for review) in the Alternative URL field. You may add additional links or information in the Description field.
9. Select the Terms tab, then select Edit Terms Requirements to specify the license and terms of use for your dataset and files (for help selecting a license, see Creative Commons License Chooser).
10. To add, edit, or delete files, select the Files tab.
11. When you are ready for JM to review your dataset, select Submit for Review.
    Note: If the license and Terms of Use in the popup window are not updated or correct, go back to the Terms tab to update the license and Terms of Use before submitting.
12. The Coeditor will return the dataset to you if any corrections are required. You will receive an email with more information if this is necessary.
13. After your manuscript is unconditionally accepted and published, JM will publish your dataset and you will receive an email notification.
    Note: All of your files will be restricted before they are published, so they will still only be accessible to the JM Coeditors and AMA Staff. After your dataset has been published, you may unrestrict files to make them public (see Making Your Materials Public).

Editing Your Replication Packet After Submission

If you need to edit your files or metadata (dataset description) after you have submitted your dataset for review, please email jom@ama.org to ask that the dataset be returned to you.

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Editing Your Replication Packet After Publication

If you need to edit your files or metadata (dataset description) after the dataset has been published:

1. Log into your Harvard Dataverse account.
2. Select your account name on the top right and choose My Data.
3. Select your dataset title.
4. Select Edit, then Files (Upload) or Metadata.
5. When you are done making changes, select Save Changes.
6. Make sure you’re on the dataset page and select Submit for Review to submit a new version of your dataset. JM will be notified about your changes.

Making Your Replication Packet Public

If you would like to make some or all of your files public after publication:

1. Log into your Harvard Dataverse account.
2. Select your account name on the top right and choose My Data.
3. Select your dataset title.
4. Under Files, select the files you would like to make public.
5. Select Edit Files and choose Unrestrict.
6. When you are done, select Submit for Review to submit a new version of your dataset. JM will be notified about your changes.

You may add the DOI link to your final, published article during copy editing.

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Additional Resources and Files

JM File Organization Instructions

JMR Example README File for Experimental Paper
JMR Example README File for Quantitative Paper
JMR Sample Alternative Disclosure Plan – NDA

Harvard Dataverse: Getting Started
Dataverse User Guide
Dataverse Best Practices: Replication Dataset Guidelines

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