Why would you choose to deposit your data into a repository? A repository is helpful because it:
There are some things to keep in mind when selecting a repository. Data in a repository should be:
A wide variety of institution-based and discipline-specific repositories exist for digital data. The repository itself should be:
If both a discipline-specific repository and an institution-based one exist for your data, then consider depositing in both locations to maximize discovery and safety of the data.
NYU's Guide to selecting a repository.
A good comparison of various popular general repositories.
Many more data repositories are available online than can be listed here. Consult re3data.org, an external resource, for an extensive list of discipline-specific repositories.
FAIRsharing.org is a curated, searchable registry of metadata standards; databases and repositories; and funder and journal policies that are relevant to specific domains or types of data.
OpenDOAR is a global Directory of Open Access Repositories. You can search and browse through thousands of registered repositories based on a range of features, such as location, software or type of material held. Try it out for yourself:
Repository Finder is another good search (beta) tool to help you navigate and discover the most appropriate repository for your data.
A list broken down by discipline.
CUNY Academic Works accepts all data formats, and is dedicated to collecting and providing access to the research, scholarship, and creative and pedagogical work of the City University of New York.
OSF allows for the collection, analysis, publishing and discovery of projects and supported data.
FigShare allows you to share all of your data, negative results and unpublished figures.
Dataverse Network Project (DVN), is an application to publish, share, reference, extract and analyze research data. It facilitates making data available to others, and allows to replicate others work. Researchers and data authors get credit, publishers and distributors get credit, affiliated institutions get credit.
Inter-university Consortium for Political and Social Research (ICPSR) – The world’s largest archive of digital social science data. ICPSR staff can guide you in preparing your data for archiving and distribution.
GitHub is generally OK for software projects.
Open Context reviews, edits, annotates, publishes and archives research data and digital documentation.
It is vital to maintain the confidentiality of research subjects for reasons of ethics and to ensure the continuing participation in research. At the same time, data on research subjects can be shared if proper steps are taken to maintain participant confidentiality:
Informed consent should make a provision for data sharing: When obtaining informed consent from study participants, ensure confidentiality while also enabling the option of data sharing. Even if you are not certain that you will share your research data with others, you must obtain informed consent at the outset. For an example of how to write informed consent forms to allow for data sharing, see the U.K. Data Archive guide to consent or the ICPSR Confidentiality Language for Informed Consent Agreements.
Evaluate the sensitivity of your data: Researchers should consider whether or not their data contains either direct or indirect identifiers that could be utilized with other public information to identify research participants. If so, steps should be taken to remove or mask these in public-use data files.
Obtain a confidentiality review: A benefit to depositing your data with some archives, such as ICPSR, is that their staff will review your data for the presence of confidential information.
Comply with CUNY regulations: Grad Center researchers concerned about confidentiality issues with their data should consult the Human Research Protection Program.
Comply with regulations for health research: HIPPA Privacy Rule, Information for Researchers.
Enable restricted use of your data: Do you want to make your data available in a more restricted, limited-access manner? The ICPSR DSDR program has resources for data producers including a tool for Designing a Restricted Data Use Contract.
All CUNY faculty members, postdoctoral scholars, graduate and undergraduate students involved in human subjects research as key personnel must complete the applicable Basic Course (e.g. HSR for Social & Behavioral Faculty, Graduate Students, & Postdoctoral Fellows) in the protection of human subjects prior to Institutional Review Board (IRB) approval of their protocol. More info here.
CUNY Academic Commons: Data Management Tools (Note: Some of the tools listed on this page may not be appropriate for data management plans or long-term data management.)
When writing a paper or doing a presentation, it is important to cite not only the literature consulted but also the data files used, even if they are data files that you have produced.
Citing data is important in order to:
Elements of a citation include:
Bachman, Jerald G., Lloyd D. Johnston, and Patrick M. O'Malley. Monitoring the Future: A Continuing Study of American Youth (12th-Grade Survey), 1998 [Computer file]. Conducted by University of Michigan, Survey Research Center. ICPSR02751-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [producer and distributor], 2006-05-15. http://dx.doi.org/10.3886/ICPSR02751.
ASTER Global Digital Elevation Model, version 1, ASTGTM_N11E122_num.tif, ASTGTM_N11E123_num.tif, Ministry of Economy, Trade, and Industry (METI) of Japan and NASA, downloaded from https://wist.echo.nasa.gov/api/, October 27, 2009