[Purpose/significance] The research takes the significant data management plan tool, DMPTool, as the object, and analyzes its features for domestic libraries developing research data services. [Method/process] Based on the system test method and literature research, the article reviewed the development history and the research status of DMPTool, analyzed its service basics of templates, examples and resources, service systems of data management plan services, template and resource services, and users' profile services, and service methods for researchers and institutions. The research also summarized the advantages and limitations of DMPTool application in American academic libraries' research data services. [Result/conclusion] DMPTool is compatible with American funders' requirements for data management plans, and is used as important component of research data services by many academic libraries. Though DMPTool cannot be simply introduced into domestic libraries' research data services, its features deserve to be learned.
Huang Guobin
,
Di Hongyang
,
Zhang Shasha
,
Zhao Qian
. Analysis of Service Architecture of Data Management Plan Tool DMPTool[J]. Library and Information Service, 2018
, 62(4)
: 37
-43
.
DOI: 10.13266/j.issn.0252-3116.2018.04.005
[1] NIH. Federal funding accountability and transparency act[EB/OL]. [2017-08-06]. https://grants.nih.gov/grants/public_accountability/ffata.htm.
[2] STRASSER C, ABRAMS S, CRUSE P. DMPTool2: expanding functionality for better data management planning[J]. International journal of digital curation, 2014, 9(1): 324-330.
[3] University of California. About the DMPTool[EB/OL]. [2017-08-06]. https://blog.dmptool.org/about-the-dmptool/.
[4] SALLANS A, DONNELLY M. DMP online and DMPTool: different strategies towards a shared goal[J]. International journal of digital curation, 2012, 7(2): 123-129.
[5] STARR J, WILLETT P, FEDERER L, et al. A collaborative framework for data management services: the experience of the University of California[J]. Journal of eScience librarianship, 2012, 1(2): 109-114.
[6] 马建玲, 曹月珍. 研究数据管理工具发展研究[J]. 图书馆学研究, 2014(15): 40-47.
[7] 王凯, 彭洁, 屈宝强. 国外数据管理计划服务工具的对比研究[J]. 情报杂志, 2014(12): 203-206, 169.
[8] 王璞. 英美两国制定数据管理计划的政策、内容与工具[J]. 图书与情报, 2015(3): 103-109.
[9] 吴海茹. 加州数字图书馆数据管理计划工具研究及思考[J]. 新世纪图书馆, 2015(5): 69-72.
[10] University of California. Data management general guidance[EB/OL]. [2017-08-06]. https://dmptool.org/dm_guidance.
[11] STRASSER C. Template overview[EB/OL]. [2017-08-06]. https://github.com/CDLUC3/dmptool/wiki/Template-Overview.
[12] University of California. Public DMPs[EB/OL]. [2017-08-06]. https://dmptool.org/public_dmps.
[13] STRASSER C. Resources chart[EB/OL]. [2017-08-06]. https://github.com/CDLUC3/dmptool/wiki/Resources-Chart.
[14] UC3. DMPTool2 administrator webinar #2[EB/OL]. [2017-08-06]. https://www.slideshare.net/UC3/dmptool2-administrator-webinar-2.
[15] UC3. Data management plans: tips, tricks and tools[EB/OL]. [2017-08-06]. https://www.slideshare.net/UC3/data-management-plans-tips-tricks-and-tools.
[16] University of California. Quick start guide[EB/OL]. [2017-08-06]. https://dmptool.org/quickstartguide/.
[17] SIMMS S. Template creation[EB/OL]. [2017-08-06]. https://github.com/CDLUC3/dmptool/wiki/Template-Creation.
[18] SIMMS S. Institution profile customization[EB/OL]. [2017-08-06]. https://github.com/CDLUC3/dmptool/wiki/Institution-Profile-Customization.
[19] SHREEVES S L. Presenting the new and improved DMPTool[EB/OL]. [2017-08-06]. http://hdl.handle.net/2142/49957.
[20] STRASSER C. Administrator roles[EB/OL]. [2017-08-06]. https://github.com/CDLUC3/dmptool/wiki/Administrator-Roles.
[21] SIMMS S. Review functionality[EB/OL]. [2017-08-06]. https://github.com/CDLUC3/dmptool/wiki/Review-Functionality.
[22] University of California. Partner institutions[EB/OL]. [2017-11-15]. https://dmptool.org/partners_list.
[23] SIMMS S. API[EB/OL]. [2017-08-06]. https://github.com/CDLUC3/dmptool/wiki/API.