Data Sharing has multiple benefits which include increasing the visibility of your research, facilitate new discoveries by other researchers, and meet funding requirements.
Increase your visibility by including your data in open access repositories. Raise your prominence by contributing to the field and keep your research relevant.
Facilitate new discoveries by allowing other researches to use your data sets. Data sets can be re-analyzed to answer a research question and prevent duplication of effort.
Meet funding requirements as many federal grants require data sharing around the time of publication. Individual journals and publishers also are requiring or encouraging data sharing in their editorial policies.
Make public assets available to the public through publishing data papers, research articles with your conclusions and submitting datasets to open repositories.
Not all data can be shared freely.
Ensure you can share your data easily:
|Funder||Policy Effective||Publication Requirements||DMP Required?||Data Requirements|
|AHRQ||October 1, 2015||Provide full public access to publications no later than 12 months after the official date of publication. AHRQ will archive it's publications in PMC||Yes||Small data sets to be released quickly, larger data sets are to be released in waves as it becomes available or as main finders are published More Info|
|CDC||January 2015||Data available coincident with publication of paper||Yes||Data set released within 30 months after the end of data collection or generation, expect surveillance data which should be made available within a year More Info|
|FDA||December 29, 2015||Submit final peer-reviewed manuscript to NIHMS upon publication; made available in PubMed Central within 12 months||Yes||Share data underlying research papers when the paper is published
|IES||2012||Publications submitted to ERIC within 12 months of publisher's official date of final publication||Yes||Final Research Data and free of personal identifiers; data available no later than time of publication More Info|
|NIAID||July 2017||NIHMSPubMed||Yes||A data sharing plan is required only for applications requesting $500,000 or more. More Info|
|NIH||April 7, 2008||NIHMSPubMed||Yes||For grants over $500,000 a data sharing plan must be included in the application. Key Elements|
|NSF||January 18, 2011||NSF Public Access Repository||Yes||Investigators are expected to share with other researchers the primary data, samples, physical collections and other supporting materials created or gathered in work under NSF grants More Info|
Journal or Publisher Name
|Annals of Internal Medicine||Manuscripts submitted to Annals that report the results of clinical trials must contain a data sharing statement that meet the ICMJE recommendations.|
|BMJ||BMJ requires a data sharing statement for all research papers. For papers that do not report a trial, we do not require that the authors agree to share the data, just that they say whether they will.|
|ICMJE||As of 1 July 2018 manuscripts submitted to ICMJE journals that report the results of clinical trials must contain a data sharing statement.|
|JAMA||For reports of randomized clinical trials, authors are required to provide a Data Sharing Statement to indicate if data will be shared or not.|
|The Lancet||From July 1, 2018, all submitted reports of clinical trials must contain a data sharing statement, to be included at the end of the manuscript.|
|New England Journal of Medicine||The ICMJE and, therefore, NEJM require investigators to submit a data-sharing statement (2018) and register a data-sharing plan when registering a trial (2019).|
|PLoS||The data underlying the findings of research published in PLOS journals must be made publicly available.|
|PNAS||To allow others to replicate and build on work published in PNAS, authors must make materials, data, and associated protocols, including code and scripts, available to readers.|
|Science||The Science Journals support the efforts of databases that aggregate published data for the use of the scientific community. Therefore, before publication, large data sets must be deposited in an approved database and an accession number or a specific access address must be included in the published paper.|
|Springer Nature||At Springer Nature we want to enable all of our authors and journals to publish the best research, which includes achieving community best practices in the sharing and archiving of research data.|
|Sherpa Juliet||Sherpa Juliet enables researchers and librarians to see funders' conditions for open access publication.|
Findable- Data and metadata are easy to find by both humans and computers.
Accessible- Data use is open to the greatest extent, allowing others to query or copy data for their own use.
Interoperable- Data can be interpreted by a computer easily.
Re-useable- Data and metadata is well described for both humans and computers to replicate or combine data with other datasets.
Common Data Element (CDE) - A data element that is common to multiple data sets across different studies.
Certain types of CDEs are sometimes described:
Data papers are an easy way to share data. They are not traditional research articles, as their purpose is to simply describe your dataset.
There are over 200 data journals, with 120 of those in biological, medical or health care fields. They are mostly open access, indexed in widely used databases, peer reviewed, and some have impact factors.
The benefit to submitting a data paper is to double the publication output from a single research project. Publishers consider data papers complementary to research articles, and not a prior publication.
The paper is easy to write as it is usually brief and you are provided an article template to follow.
Since data papers can be cited, it is easy to track reuse of your data and contribute to one's h-index.