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Do you have untapped data that could be used to advance scientific discovery?

Describe your dataset in The Love Consortium Dataverse! The Love Consortium Dataverse is a centralized resource designed to optimize scientific collaborations on social behavior and relationships.


Why Share

Describing a dataset in The Love Consortium Dataverse or the Global Gratitude Dataverse will open the door to new scientific discoveries and help you maximize the impact of the initial investment you made in collecting the data. Your Dataset Record becomes a permanent data citation, with a digital object identifier (doi) , which means you will be able to track the impact of your dataset, over time.

The Process

Use The Love Consortium Dataverse or the Global Gratitude Dataverse to create a new Dataset Record that describes your dataset in a standardized way so others can know what kind of data you have and how to contact you.


Searchable Record

The Dataset Record provides a searchable record of the constructs and methods you used, optimized for research on people in social relationships.
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Files are Optional

There is no requirement to post materials, codebooks, or data, but you have the option to do so.
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Customizable Information

You can customize information about collaboration opportunities for each dataset.
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Quick Review

The Love Consortium administrative team will quickly review the submitted record for clarity, ask questions if they have them, and publish once it is ready.
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Direct Contact from Researchers

Interested researchers can contact you directly through the information provided in your Dataset Record.
What to Expect


TLC Dataverse


Users will search the Dataset Records within The Love Consortium Dataverse and the Global Gratitude Dataverse to discover datasets with the types of constructs and methods they are seeking to test their next great question. To facilitate those searches, we have customized some of the descriptive fields you will use when creating your Dataset Record. The clearer your description, the easier for people to find you.


Here are tools to make it easy for you to create a Dataset Record:

Describe your dataset
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Submission Step-by-Step Video and Guide

Our new Submission Step-by-Step video takes you through the process of creating and publishing a Dataset Record, from start to finish!
If you prefer written instructions, click below for our Submission Guide! This covers the same process, and also includes examples of existing dataset descriptions. 
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Offline Worksheets Containing All Requested Information

These blank worksheets include all the information requested when completing your Dataset Record. They may be useful if you are having a team member take a first pass at describing your dataset, offline.
The blank Word Document contains all fields.
The blank Excel file contains all controlled vocabulary for ten of the fields.

Contingency Plans

Note that once you archive your dataset, this is a permanent record. Consider whether you want to establish contingency plans for ownership or use of the information in the record (or the datasets themselves) if you leave the field or pass away. This may not be something that gets included within the record but may be conveyed to The Love Consortium administrative team, your lab members, or colleagues. For example, you might want to name a student or colleague to serve as your proxy. Another option would be to deposit the actual data on dataverse, anonymized of course, with whatever restrictions you feel to be appropriate.


Tools Collaboration
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APA Authorship Guidelines

Communicating early and often about authorship is helpful, and this is especially true when forming a new team of collaborators. The APA guidelines contain reminders of what type of contribution merits authorship and may provide a useful basis for this conversation.
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Example Concept Paper Form

After you have started discussing a possible project, we recommend the lead author pitch a concept paper for review by the owner of the data.  It gives an opportunity to solidify the idea and is something for the data owner to show potential team members who may deserve authorship (and who may have helpful feedback based on their knowledge of the dataset); at the same time, it provides a record of the idea and agreement by all involved.
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Example Memorandum of Understanding

This sample Memorandum of Understanding between the person who owns the data (e.g., the PI) and the person who will be leading a collaboration with those data covers many potential scenarios and provides a template for successful and productive collaborations.
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Considering Pre-Registration

Innovation requires exploration. Nonetheless, through the collaborative use of multiple datasets, The Love Consortium project provides a unique opportunity to combine exploratory and confirmatory analyses. If pre-registration is the right plan for your project, here are two commonly used sites:
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Cite Your Data

Once you create the Dataset Record for your dataset, it will have a permanent digital object identifier (doi). Whereas many researchers are used to citing the first paper they published on a study to refer back to a broader dataset, instead you would be able to cite the dataset itself. The advantages of this are described here.
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Update Your Dataverse Record with New Citations

Keep potential collaborators up to date on what you have learned with your dataset by updating your Dataset Record when there are new empirical publications that use the data. You can do that at the same time you update your CV by quickly accessing the record, clicking “Update”, adding the citation with its permanent digital object identifier (doi) to the “associated publications” field, and submitting the change.
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