WHAT TO EXPECT
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.
Files are Optional
There is no requirement to post materials, codebooks, or data, but you have the option to do so.
Customizable Information
You can customize information about collaboration opportunities for each dataset.
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.
Direct Contact from Researchers
Interested researchers can contact you directly through the information provided in your Dataset Record.
THE LOVE CONSORTIUM DATAVERSE
DESCRIBE YOUR DATASET FOR OTHERS
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:
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.
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 FOR EFFECTIVE COLLABORATION
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.
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:
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.
