ADDITIONAL RESOURCES
Do you have more questions on how to strengthen your research practices?
Explore additional resources created by The Love Consortium! From strategies for effective collaboration to guidance on data management, these materials are here to help you work more transparently, efficiently, and collaboratively.
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.
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.
DATA MANAGEMENT RESOURCES
We’re developing a collection of resources to support researchers in planning, managing, and sharing their data effectively. These tools will highlight best practices at each stage of the research process—from creating a data management plan, to documenting and safeguarding data, to sharing information in transparent and collaborative ways.
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Stay tuned! Our initial Data Management Resources will be available here soon.