Sharing data is a great way to increase the findability, accessibility, transparency, and integrity of research. First, you need to figure out whether your data can be shared. This means that you need to know your ethical and legal obligations (see the Plan page). If your data can be shared, there are a few choices to make about how you want to share your data.
Research data are considered a public good by many funding agencies in the US and internationally. They are putting in place policies to make data more openly available to the academic community and beyond. Sharing research data does a lot of positive things (UK Data Archive).
It provides great resources for education and training
It encourages scientific enquiry and debate
It promotes innovation and potential new data uses
It leads to new collaborations between data users and data creators
It maximizes transparency and accountability
It enables scrutiny of research findings
It encourages the improvement and validation of research methods
It reduces the cost of duplicating data collection
It increases the impact and visibility of research
It provides credit to the researcher as a research output in its own right
Funding agencies (private and public) increasingly concerned with proper Data Stewardship; and a Data Science community mining, integrating and analysing the output to advance discovery. Computational analysis to discover meaningful patterns in massive, interlinked datasets is rapidly becoming a routine research activity. Providing machine-readable data as the main substrate for Knowledge Discovery and for these eScientific processes to run smoothly and sustainably is one of the Grand Challenges of eScience.
IUPUIDataWorks is a repository for preserving and sharing IUPUI digital research data. It is a place to make research data available for other researchers to find and use. IUPUIDataWorks is also a tool enabling researchers to meet funding agency requirements for data preservation and sharing.
This table lists NIH-supported data repositories that make data accessible for reuse. Most accept submissions of appropriate data from NIH-funded investigators (and others), but some restrict data submission to only those researchers involved in a specific research network. Also included are resources that aggregate information about biomedical data and information sharing systems.