TLC DATAVERSE
Do you have untapped data that could be used to advance scientific discovery, or a great idea that just needs the right data to test it?
Describe your dataset or search the datasets in The Love Consortium Dataverse! The Love Consortium Dataverse is a centralized resource designed to optimize scientific collaborations on social behavior and relationships.
THE LOVE CONSORTIUM DATAVERSE
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SHARING DATASETS
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.
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
In collaboration, we feel that communication is key! We strongly encourage you to begin your collaborations by initiating constructive conversations about expectations with the data, authorship, and communication approaches over the course of the project. Check out our "Tools for Effective Collaboration" page for some templates.
SEEKING DATASETS
What to Expect
Researchers who post descriptions of their datasets in Dataset Records on The Love Consortium Dataverse have done so because they are open to collaboration with those data. These datasets are a treasure; they have sometimes been sitting without use for more than a decade yet could hold jewels of undiscovered findings. As such, the core requirement for researchers with data is to describe it. Data seekers like you can search these standardized descriptions to find the types of populations, methods, and constructs best suited for your research question. Once you find a dataset description that holds promise for testing your question, you’ll see if the owner of the data has uploaded supplementary files or not (e.g., table of variables, materials), check out their customized notes about collaborating with that particular dataset, and use the contact button to ask more questions or suggest a collaboration.
Optimizing Your Search
To get a better idea of how to search for data you are looking for, it may help you to know the fields researchers are asked to complete when describing their datasets. The full list can be found here. Some of those fields – like commonly studied constructs or commonly used methods – use controlled vocabulary to keep things standardized; you can find those controlled vocabulary choices here .
Ask Questions
The Dataverse Record contains an email address for the primary contact person. Once you have reviewed the description, if you still have questions, reach out!
Tip: If it is a quick question, ask it quickly. If it requires the reader to have some background information, we still recommend including the bottom-line question in the first few sentences of the email or in the subject line.
Perspective Taking
When composing an email, we suggest following standard professional guidelines (see here). Consider what will make it easiest for the person to respond. And if you haven’t heard back for awhile, give the person the benefit of the doubt and just assume they’re busy – feel free to send a gentle reminder about your question after a reasonable time has passed.
Tools for Effective Collaboration
Once you and the dataset owner have agreed on a collaboration, we strongly encourage you to build trust by having open and transparent conversations about expectations with the data, authorship, and communication approaches over the course of the project. Communication is key! Check out our "Tools for Effective Collaboration" page for some templates.
BEHIND THE DATA
Hear directly from contributors and learn more about the diverse datasets available on The Love Consortium Dataverse.
Behind the Data
The Love Consortium Dataverse: Behind the Data
The Love Consortium Dataverse: Behind the Data
