The DMP Tool is a free online tool to create data management plans. Users are able to create a plan or co-author a plan with collaborators. After creating an account, you will have a personalized dashboard to create, edit, share, download, or copy any plans. Creating a plan is simple by using the wizard to select an appropriate template. When you start, be sure to have a title of your research project, the primary research organization, and the primary funding organization information ready. A template will be suggested to you, which is based on your funder. You may create a mock project to test the tool, before using it for a real research project.
When you start on your data management plan, you will need certain details ready. You will need to have the project details like the funder, grant number, write a project abstract, and the Principle Investigator information. Your plan will cover areas of your project from start to finish. This would include data collection, documentation & metadata, ethics, storage & backup, data selection & preservation, data sharing, responsibilities of project members, and resources to be used.
Open Science Framework is a free online tool that helps researchers stay organized during their project. It facilitates sharing of materials and data with team members. It also facilitates easy sharing of data upon completion of the project. Users are able to control who can access their materials. A private project only allows for project collaborators to access the material. There is a file size limit of 5GB or less to be uploaded. Larger files can be stored using add-ons, such as Amazon S3, Dropbox, GitHub, Google Drive and OneDrive.
Best practices are recommended for your project. You should create an upload a Data Management Plan and Data Dictionary. If you plan on sharing your data, you can host the materials with OSF, provide a DOI, and share via social media. It is not HIPAA compliant, so data needs to be de-identified if public. OSF also allows for Preprints, which can be sent to publishers for consideration and peer review. If you need assistance getting started or following best practices, contact the library.
Dryad allows you to hosts your research data, related to an article or not, and received a citable DOI. Dryad requires an ORCID ID for login. All submissions are reviewed to make sure the data is usable. This repository will allow you to easily cite and promote your data! All datasets will be indexed by the Thomson-Reuters Data Citation Index, Scopus, and Google Dataset Search. Each dataset is given a unique Digital Object Identifier or DOI. Entering the DOI URL in any browser will take the user to the dataset's landing page. Dryad also provides a faceted search and browse capability for direct discovery.
Dryad accepts all research data. However, this service is intended for complete, re-usable, open research datasets. Most types of files can be submitted (e.g., text, spreadsheets, video, photographs, software code) including compressed archives of multiple files. Before submitting, check out the best practices for creating reusable data, by following the FAIR data principles.
Dryad does not accept submissions that contain personally identifiable human subject information. Human subjects’ data must be properly anonymized and prepared under applicable legal and ethical guidelines. Dryad does not accept any files with licensing terms that are incompatible with the Creative Commons Zero waiver.
Dryad is a nonprofit organization that provides long-term access to its contents at no cost to users. Dryad's Data Publishing Charges (DPCs) are designed to recover the core costs of curating and preserving data. Dryad collects a Data Publishing Charge (DPC) of $120US upon data publication, unless there is a sponsor or fee waiver in place. Additional charges apply to data packages in excess of 50GB at $50 for each additional 10GB, or part thereof.
Learn more at their FAQ: https://datadryad.org/stash/faq
The Creative Commons tool allows you to share your work, while specifying what others can do with it. The site offers free copyright licenses for you to use on a variety of platforms. To create a custom CC license, start with their license creation wizard. You will select which license features you want, if the license will be international, add metadata to ensure attribution, and custom code to embed wherever you share your content. The license features will state to others what they can do, such as re-use, modify, or share with others. You can also allow for use either for educational use only or commercial use. Once a license is applied to the content, it may not be revoked, even if distribution is stopped. A Creative Commons license is an easy to use tool, which protects your work from being reused without giving credit to you.
Figshare is an online platform created for academic research data management and research data dissemination. It accepts all file types, and files are viewable through a browser. Figshare enables you to upload, share, cite and discover all manner of research outputs. The data stays secure with their various hosting options and long term preservation. Figshare seamlessly integrates with other tools such as Github, so Figshare can be used to make the data persistent. You own your data and you control how it is shared.
Figshare is a great place to promote your research and raise your profile as a researcher. Your research is discoverable with use of relevant tags, to assist people in finding your research. Rich metadata such as a descriptive title or appropriate key words leads more people to finding your research. By hosting on Figshare, you can easily share your research on social media, and track the Altmetric stats. Figshare deposits are indexed by Google Scholar, and datasets are included in the Google Dataset search results.
A final version for the NIH Policy for Data Management and Sharing was released on October 29th, 2020. This policy will go into effect on January 25, 2023. The purpose of the policy is to “promote the management and sharing of scientific data generated from NIH-funded or conducted research.” Data management and sharing plans are now required with NIH research. Required elements of the plan are outlined in the NOT-OD-21-014 Supplemental Information to the NIH Policy for Data Management and Sharing: Elements of an NIH Data Management and Sharing Plan. There are also supplements for allowable costs for a data management plan and selecting a repository for data resulting from NIH supported research. For more information on the final policy, read Dr Francis Collins, NIH Director’s statement.
This policy began development in 2015 with a plan to increase access to publications and data funded by the NIH. Feedback was collected from the community to develop a data sharing policy, with public comment in 2016. Additional feedback was collected in 2018 for proposed key provisions for future NIH policy for data management and sharing plans. A draft of the final policy was released in 2019.