TY - JOUR
T1 - Open access to research artifacts
T2 - Implementing the next generation data management plan
AU - Stodden, Victoria
AU - Ferrini, Vicki
AU - Gabanyi, Margaret
AU - Lehnert, Kerstin
AU - Morton, John
AU - Berman, Helen
N1 - Funding Information:
In this article, we have described the implementation of a next generation DMP and the motivation for the two key goals it addresses in facilitating greater access and transparency in research: To communicate policy priorities regarding artifact availability to the research community; and to enable funders and community stakeholders to learn about research artifact creation, archiving, and reuse practices by researchers and other stakeholders. ). Funding agencies are continuing to implement Data Management Plans (see e.g., the October 2018 Request for Information by the National Institutes for Health entitled “Request for Information (RFI) on Proposed Provisions for a Draft Data Management and Sharing Policy for NIH Funded or Supported Research” https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-014.html ). We anticipate extending the tool to accommodate other funding sources in a customized way in the future. Within NSF, data and artifact policies are advancing, especially with respect to enabling reproducibility of results (see e.g., https://www.nsf.gov/pubs/2019/nsf19022/nsf19022.pdf and https://www.nsf.gov/cise/oac/ci2030/ACCI_CI2030Report_Approved_Pub.pdf ). Recommendation 6‐5 of the recent National Academies report on reproducibility exhorts the NSF to “[c]onsider extending NSF's current data‐management plan to include other digital artifacts, such as software” (National Academies, We believe a next generation Data Management Plan, generated using a tool that produces structured, machine readable output using controlled vocabularies and semantic descriptions of the scholarly objects produced, will permit a greater understanding of practices regarding artifact creation, and availability, allowing for improved credit and recognition of these efforts. In addition, the approach pioneered by ezDMP will encourage greater development of artifact standards and interoperability and facilitate the incorporation of the Data Management Plan in future data management environments.
Funding Information:
We thank the stakeholders who provided feedback and completed our evaluation rubric. We also thank participants at RDA and other workshops for comments. NSF awards 1649555, 1649545, and 1649703 supported this work.
Publisher Copyright:
Author(s) retain copyright, but ASIS&T receives an exclusive publication license
PY - 2019/1
Y1 - 2019/1
N2 - We describe a new vision for a Data Management Plan (DMP) that incorporates controlled vocabularies and semantic descriptions of the scholarly objects to be produced by the proposed project. We implement this vision in an open-source web-based DMP tool, called ezDMP, at ezdmp.org. The integrated use of structured information in ezDMP permits several important goals. First, with minimal additional effort, researchers can create DMPs with more complete information about the scholarly objects to be produced. Second, research funders can productively query this structured information to learn about repository use and other patterns of scholarly objects creation. Finally, ezDMP puts a structure in place that can support the integration of information about digital scholars objects, in an organized and systematic way, into research data management environments.
AB - We describe a new vision for a Data Management Plan (DMP) that incorporates controlled vocabularies and semantic descriptions of the scholarly objects to be produced by the proposed project. We implement this vision in an open-source web-based DMP tool, called ezDMP, at ezdmp.org. The integrated use of structured information in ezDMP permits several important goals. First, with minimal additional effort, researchers can create DMPs with more complete information about the scholarly objects to be produced. Second, research funders can productively query this structured information to learn about repository use and other patterns of scholarly objects creation. Finally, ezDMP puts a structure in place that can support the integration of information about digital scholars objects, in an organized and systematic way, into research data management environments.
KW - Code Policy
KW - Code Sharing
KW - Cyberinfrastructure for Research
KW - Data Management Plan
KW - Data Policy
KW - Data Sharing
KW - Digital Repositories
KW - Open Access
KW - Reproducible Research
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UR - http://www.scopus.com/inward/citedby.url?scp=85076014636&partnerID=8YFLogxK
U2 - 10.1002/pra2.51
DO - 10.1002/pra2.51
M3 - Article
AN - SCOPUS:85076014636
VL - 56
SP - 481
EP - 485
JO - Proceedings of the Association for Information Science and Technology
JF - Proceedings of the Association for Information Science and Technology
SN - 2373-9231
IS - 1
ER -