[1] European Open Science Cloud[EB/OL].[2020-10-20].https://eosc-portal.eu/about/eosc. [2] BURTON A, KOERS H,MANGHI P, et al. The Scholix framework for interoperability in data-literature information exchange[J/OL].[2020-10-20].http://www.dlib.org/dlib/january17/burton/01burton.html. [3] WILKINSON M D, DUMONTIER M, AALBERSBERG I J J, et al. The FAIR guiding principles for scientific data management and stewardship[J].Scientific data, 2016:160018.https://doi.org/10.1038/sdata.2016.18. [4] DataCite metadata schema[EB/OL].[2020-10-20].https://schema.datacite.org/. [5] Elixir. Interoperability platform[EB/OL].[2020-10-20]. https://elixir-europe.org/platforms/interoperability. [6] Elsevier. Trust in research[EB/OL].[2020-10-20]. https://www.elsevier.com/connect/trust-in-research. [7] Discovering associated data in PMC[EB/OL].[2020-10-20].https://ncbiinsights.ncbi.nlm.nih.gov/2018/11/15/discovering-associated-data-in-pmc/. [8] Elsevier. Linking research data and research articles on ScienceDirect[EB/OL].[2020-10-20].https://www.elsevier.com/authors/tools-and-resources/research-data/data-base-linking. [9] Web of Science. Data Citation Index[EB/OL].[2020-10-20].https://clarivate.com/webofsciencegroup/solutions/webofscience-data-citation-index/. [10] Scopus. Data linking[EB/OL].[2021-03-10]. https://blog.scopus.com/topics/data-linking. [11] Dimensions. Linked research data from idea to impact[EB/OL].[2021-03-10].https://www.dimensions.ai/. [12] Elixir data platform[EB/OL].[2021-03-10].https://elixir-europe.org/platforms/data. [13] GARCIA-HERNANDEZ M, BERARDINI T Z, CHEN G H, et al. TAIR:a resource for integrated Arabidopsis data. Functional & integrative genomics, 2002,2(6):239-253. [14] SULLIVAN D. A reintroduction to our knowledge graph and knowledge panels[EB/OL].[2020-10-20].https://www.blog.google/products/search/about-knowledge-graph-and-knowledge-panels/. [15] OpenAIRE.OpenAIRE-research graph[EB/OL].[2020-10-20].https://graph.openaire.eu. [16] RD-Switchboard[EB/OL].[2020-10-20].https://www.rd-switchboard.org. [17] 杨宁,文奕,张鑫,等.高能物理科学数据与科技文献关联研究[J].图书馆学研究,2019(1):47-52. [18] 姜恩波, 裴玉香.科学文献与科学数据的融合方法与实例研究[J].知识管理论坛,2019,4(2):69-79. [19] 涂勇,彭洁.基于DOI技术的科学数据与科技文献融合的研究[J].数字图书馆论坛,2007(10):28-31. [20] 孙文佳,常娥.科学数据与科技文献关联分析[J].图书馆理论与实践,2017(3):49-53. [21] 朱江,李欣怡,姜恩波,等.基于ISLI标准的科技文献和科学数据的关联[J].图书馆理论与实践,2020(5):80-83,91. [22] KRAFT A,DREYER B, LOWE P, et al.14 Years of PID services at the German National Library of Science and Technology (TIB):connected frameworks, research data and lessons learned from a national research library perspective[J]. Data science journal, 2017,16(36):1-10. [23] 郭学武.基于引文的科学数据与科技文献关联研究[J].情报科学,2014,32(4):59-62. [24] 张鑫,文奕,杨宁,等.基于引文探针的文献与数据的关联算法与应用——以高能物理领域为例[J].情报理论与实践,2019,42(10):151-156. [25] RIEDEL N,KIP M,BOBROV E. ODDPub- a text-mining algorithm to detect data sharing in biomedical publications[J].Data science journal,2020,19(42):1-14. [26] HOU L L, ZHANG J, WU O, et al. Method and dataset entity mining in scientific literature:a CNN + Bi-LSTM model with self-attention[EB/OL].[2021-10-08].https://arxiv.org/abs/2010.13583. [27] GHAVIMI B, MAYR P, LANGE C. et al. A semi-automatic approach for detecting dataset references in social science texts[J]. Information services & use,2016, 36(3/4):171-187. [28] 孙志茹, 韩涛, 杨文. 生物信息学科学数据与科学文献的关联关系分析[J]. 图书情报工作, 2008,52(2):88-91. [29] 黄筱瑾.基于元数据的科学数据与科技文献关联研究[J].情报理论与实践,2013,36(7):27-30. [30] 黄筱瑾.基于内容特征的科学数据与科技文献关联研究[J].现代情报,2018,38(1):56-59. [31] 贺姝祎,魏韧,吴茂春,等.科技文献与观测数据的关联性在天文领域的应用研究[EB/OL].[2021-09-10]. https://d.wanfangdata.com.cn/conference/8469846. [32] 卫军朝.科学文献与科学数据关联实践研究——以Elsevier为例[J].国家图书馆学刊,2017,26(3):93-101. [33] 孙巍.科学数据与科技文献关联发现系统研究与实现[EB/OL].[2021-09-10]. https://d.wanfangdata.com.cn/conference/7611510. [34] 丁培.科学文献与科学数据细粒度语义关联研究[J].图书馆论坛,2016,36(7):24-33. [35] CLARK T. Argument graphs:literature-data integration for robust and reproducible science[EB/OL].[2021-01-20]. http://www.isi.edu/ikcap/sciknow2015/papers/Clark.pdf. [36] COUSIJIN H,HAAK W, KOERS H. Finding better ways to connect research data with scientific literature[EB/OL].[2021-01-20].https://www.elsevier.com/connect/finding-better-ways-to-connect-research-data-with-scientific-literature. [37] AALBERSBERG I J, KAHLER O. Supporting Science through the Interoperability of Data and Articles[EB/OL].[2021-10-08]. http://www.dlib.org/dlib/january11/aalbersberg/01aalbersberg.html. [38] DataCite Search[EB/OL].[2021-03-10].https://search.datacite.org/. [39] Google Dataset Search[EB/OL].[2021-03-10]. https://datasetsearch.research.google.com/. [40] ScholeXplore[EB/OL].[2021-03-10].https://scholexplorer.openaire.eu/. [41] OpenAIRE explore[EB/OL].[2021-03-10].https://explore.openaire.eu/. [42] DRYAD[EB/OL].[2021-03-10].Our platform. https://datadryad.org/stash/our_platform. [43] Elsevier and PANGAEA Link Contents for easier access to full earth system research[EB/OL].[2021-03-10]. https://www.elsevier.com/about/press-releases/science-and-technology/elsevier-and-pangaea-link-contents-for-easier-access-to-full-earth-system-research. [44] HEPData[EB/OL].[2021-03-10].https://www.hepdata.net/. [45] STM. Research data share-link-cite[EB/OL].[2020-10-20]. https://www.stm-researchdata.org/. [46] 李娇,黄永文,罗婷婷,等.基于多因子算法的自动分类研究[J].数据分析与知识发现,2020,4(11):43-51. |