Guides @ UF: Research Data Management at UF: Sharing & Copyright

Why share your data?

Benefits of data sharing include:

Helps in designing new experiments
Allows testing of secondary or new hypotheses
Data can be used for educational purposes
Analyses can be reproduced and/or validated by others
Data can be checked for cleanliness and accuracy
Helps in the development and evaluation of novel statistical methods
Simplifies data acquisition for meta-analysis
Helps to prevent research misconduct and selective reporting of results

Modified from (Vickers, A 2006) Whose data is it anyway? Sharing raw data from randomized trials. Trials 7: 15)

Data Repository Directories

re3data.org
A REgistry of REsearch data REpositories. It includes a listing of repositories by discipline and describes what kind of data is in each repository and who can deposit, access, and re-use data.
DataMed
DataMed is a prototype biomedical data search engine designed to discover data sets across data repositories or data aggregators.
NIH Data Sharing Repositories
Includes information on how to submit data to each repository and how to access data from each repository.
Directory of Open Access Repositories (OpenDOAR)
This is an authoritative directory of academic open access repositories. Although it primarily contains publication repositories, it also includes some data repositories and image repositories.
The (Re)usable Data Project
Rates biomedical data repositories/resources based on users' ability to build upon, edit, modify, and redistribute that data. Discusses data use licenses.

General Data Repositories

Zenodo
Free accounts available to anyone allow upload of files of 50 GB maximum per record. Developed with funding from the European Union, CERN, and OpenAIRE.
Figshare
Figshare has free accounts for individuals, where you can upload files of up to 5 GB and institutional subscriptions. Through a pilot project, NIH researchers can use a specific instance called NIH Figshare (2019-2020).
Dataverse
Dataverse provides open source data repository software. Individual researchers can set up their own dataverse.

Open Data Principles

Brussels Declaration (1 November 2007), signed by 46 publishers and 13 trade organizations, including Elsevier, NPG, Springer, Oxford Univ Press, Wiley-Blackwell: "Raw research data should be made freely available to all researchers. Publishers encourage the public posting of the raw data outputs of research. Sets or sub-sets of data that are submitted with a paper to a journal should wherever possible be made freely accessible to other scholars"

The Panton Principles, Principles for Open Data in Science state that "science is based on building on, reusing and openly criticising the published body of scientific knowledge. For science to effectively function, and for society to reap the full benefits from scientific endeavours, it is crucial that science data be made open"

Panton Principles, Principles for open data in science. Murray-Rust, Peter; Neylon, Cameron; Pollock, Rufus; Wilbanks, John; (19 Feb 2010).