Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: http://dataver.net/
Proper Citation: DataVer (RRID:SCR_005954)
Description: DataVer is the premier data management verification service for scientific data. DataVer''s data management plan (DMP) Compliance Review and the companion Star Ratings will bring transparency to the investigator''s compliance with data management and sharing guidelines on a grant by grant basis. DataVer will accomplish this through 1) open publication of its review standards and procedures that it applies to all submitted grants and 2) openly report the results of its findings through its web portal so anyone can look up the compliance history of an investigator or lab. The Data Management Plan. The NIH and the NSF typically require a DMP detailing data types and quantity, its storage duration, and plans for making the data accessible to fellow scientists. The DMP is supposed to meet their published guidelines outlining the data management and sharing requirements to which the PI must agree as a condition of funding. The compliance record to date is less than ideal.. Institutional funders may not require a specific DMP as such but many have specific requirements for data management and post-grant data availability. While a specific DMP as such may not be produced for these grants, the data management and sharing is expected to comport with the funders'' guidelines. To date, there are no standardized or uniform means to track or assess the compliance of the investigator with the DMP or published guidelines. While individual institutions have tasked program managers with monitoring the compliance, the process is not uniform and the data stays within the specific institute, unavailable for other granting institutes or foundations. What DataVer does. DataVer offers two services with variations. First, it offers a DMP (or funder guideline) compliance review. For this DataVer compares the actual data management and data sharing of the grant funded data to the approved DMP and with the guidelines its funding agency(s). Second, DataVer rates the actual usability and accessibility of the data based on its own published standards on a three star rating scale. This indicates at a glance how well the data is organized and whether it''s available for reuse by an outside investigator. These procedures give the funders and the scientific community accurate, standardized and timely reports on an investigators'' data storage and data sharing in a publicly available database. We at DataVer believe this light, cast on actual data openness, will further encourage increased care in data management and archiving as well as increased data sharing. This openness and transparency will be a positive means to increase data management plan and guideline compliance, and will stimulate increased attention to the accessibility and usability of the data, so important to its reuse. We will offer a means by which universities, investigators, research facilities, and data repositories can obtain a compliance certification for consistently setting a high standard of data accessibility and usability across multiple grants. This certification is a means by which these stakeholders can demonstrate their achievement in support of data sharing. Grantors will be able to see an institution or facility''s pattern of compliance when deciding where to spend their limited resources.
Abbreviations: DataVer
Synonyms: DataVer: Data Verification
Resource Type: service resource
Keywords: certification, compliance, data sharing, data management, best practice, verification service, verification, audit, data management plan, review
Expand AllWe found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for DataVer.
No alerts have been found for DataVer.
Source: SciCrunch Registry