| 系統識別號 | U0002-1206202221160300 |
|---|---|
| DOI | 10.6846/TKU.2022.00285 |
| 論文名稱(中文) | 高教機構研究資料政策框架之分析與建構 |
| 論文名稱(英文) | Analysis and Development of a Research Data Policy Framework for Higher Educational Institutions |
| 第三語言論文名稱 | |
| 校院名稱 | 淡江大學 |
| 系所名稱(中文) | 資訊與圖書館學系碩士班 |
| 系所名稱(英文) | Department of Information and Library Science |
| 外國學位學校名稱 | |
| 外國學位學院名稱 | |
| 外國學位研究所名稱 | |
| 學年度 | 110 |
| 學期 | 2 |
| 出版年 | 111 |
| 研究生(中文) | 陳若玄 |
| 研究生(英文) | Re-Shiuan Chen |
| ORCID | 0000-0002-1243-9200 |
| 學號 | 608000013 |
| 學位類別 | 碩士 |
| 語言別 | 繁體中文 |
| 第二語言別 | |
| 口試日期 | 2022-06-28 |
| 論文頁數 | 183頁 |
| 口試委員 |
指導教授
-
陳亞寧(arthur@gms.tku.edu.tw)
(0000-0001-7598-1139)
口試委員 - 黃鴻珠 口試委員 - 黃明居 |
| 關鍵字(中) |
研究資料 研究資料政策 研究資料政策框架 高教機構 |
| 關鍵字(英) |
Research Data Research Data Policies Research Data Policy Framework Higher Educational Institutions |
| 第三語言關鍵字 | |
| 學科別分類 | |
| 中文摘要 |
隨著ICT的發展與學術環境的變化,研究資料成為新興學術紀錄之一,受到相關利益者重視。學術資助者及學術出版者/期刊開始發展資料政策,高教機構為了滿足相關利益者等外部要求及內部研究者的需求,亦發展高教機構資料政策。然而,現有研究僅將高教機構中的資料政策作為子主題,或僅調查政策中的部份議題,而未有研究全面調查政策項目與其內容、指出政策與其他重要文件的關係,或發展研究或報告建立高教機構類型的資料政策框架。因此,本研究採用THE、QS、ARWU、USNWR四種頂尖大學排名前百名交集之55所高教機構,透過文件/網頁內容分析法、社會網路分析等方式,瞭解高教機構研究資料政策之類型、項目、內容與其分佈,及其與重要文件之關係等,且根據政策項目與內容發展情形,指出政策的必要項、建議項與選用項,進而建構高教機構資料政策之框架。 根據調查結果,超過七成(40所,72.73%)的高教機構已針對研究資料相關議題專門設立資料政策。內容分析共採39份政策為研究對象,其中有33份獨立式政策及6份隸屬式政策,主要研究結果如下: 1. 未設立高教機構資料政策可能的原因包含國情不同、參與聯盟、尚在發展、缺乏國家強制力、發展困難及發展歷史較短暫等。 2. 在資料政策受到外部重要文件影響的關係方面,以國際或國家推動力(22項,55%)為主。在參見關係方面,資料政策參見機構內部重要文件主要包括IPR、研究行為、安全、高教機構紀錄保存等主題,及參見機構外部重要文件包括資助者、隱私權和研究行為等。 3. 高教機構資料政策之題名具備五項特質,包含名稱資料類型化、名稱編碼化、名稱機構化、名稱規範化,及名稱主題化。 4. 高教機構資料政策基礎保存時間的眾數為三年,在外部規範、研究遭到控訴,或為了保護IPR等情況時,保存時間將延長。 5. 高教機構資料政策將資料擁有權歸屬於高教機構,資料保管權歸屬於PI。在必要情況下,高教機構有權取得所有資料的保管權限。 6. 高教機構資料政策有政策陳述模糊及規範不一致等情形。部份政策透過設立行政細則、程序或學科型資料政策等方式,以取得政策規範彈性與具體程度間的平衡。 7. 在RDM的學科領域特性方面,高教機構資料政策的應對方式有三種:要求設立符合學科領域特性的學科型資料政策、指派院系的RDM指導員,及研究者自行面對。 8. 高教機構資料政策之項目可分為一般、規畫、資料託管、監控等四種類別。必備項包含一般類別中的適用範圍、宗旨與目的、重要名詞定義、角色與職責,規畫類別中的資料權利,及資料託管類別的儲存與保存。建議項包含一般類別中的實施與解釋,規畫類別中的DMP,資料託管類別中的可取用性、處置與銷毀。選用項包含規畫類別的成本與風險管理,資料託管類別的引用、被引用與出版,監控類別的相關議題及倫理審查,及其他。 9. 高教機構資料政策為滿足資助者、學術出版者資料政策等要求,因此政策涵蓋的面向最為廣泛。學術出版者資料政策聚焦於資料共享、DAS、資料引用、同儕評鑑等,資助者資料政策則聚焦於DMP、資金、成本、取用、共享等。 換言之,本研究之貢獻包含(1)提出高教機構資料政策的類型,及(2)資料政策與重要文件之關係,(3)完成高教機構、學術出版者與資助者資料政策之比較,(4)建構高教機構資料政策之框架,且探討政策之類別、項目、內容與其分佈,及(5)提出高教機構資料政策題名之五種特質與其結構。 |
| 英文摘要 |
In terms of evolving scholarly records, research data has gained attention from various stakeholders. Funders, publishers, and journals have formulated research data policies to mandate researchers for data management and sharing. Higher educational institutions (HEIs) have also developed data policies for external and internal requirements. To our best knowledge, no study has comprehensively investigated HEI data policies, including elements, categories, types, relationships between data policy and other documents, and framework. The study collected information on the 55 HEIs from THE, QS, ARWU, and USNWR. Finally, 39 data policies were selected as subjects to be examined through content analysis. The findings of this study are addressed as follows: 1. Probable reasons for no data policies: (1) varying country conditions, (2) federation membership, (3) ongoing development process, (4) lack of national mandate, (5) obstacles, and (6) short development history. 2. In terms of the source of external documents, international and national influences primarily affect HEI’s data policies (55%). In the “see also” relationship between HEI’s data policies and other external documents, funder policies/statements, privacy laws, and the research code of conduct are higher reference sources. In contrast, IPR, research conduct, security, and preservation of HEI records are primary internal reference sources for HEI’s data policies. 3. Five characteristics are embedded in the naming of HEI’s data policy titles: (1) data typification, (2) codification, (3) institutionalization, (4) standardization, and (5) topicalization. 4. The general retention period is five years. It may be longer in the case of terms defined by external documents, research misconduct charges, or IPR protection. 5. The ownership of research data belongs to HEIs, whereas custodianship belongs to PI. HEI has the custodianship when research misconduct is charged or under other necessary circumstances. 6. Ambiguous or inconsistent statements are presented in HEI data policies. Some policies have established (or planned) detailed administrative enforcement rules, regulations, or subject data policies to balance flexibility and enforcement of data policies. 7. In response to specific characteristics resulting from discipline, HEI data policies have provided three options for the aforementioned requirements as follows: (1) developing discipline data policies, (2) positioning an advisor in every school to build the best RDM practices in the discipline, and (3) letting researchers face the challenge themselves. 8. Category of HEI data policy can be divided into four types: general, planning, data stewardship, and monitoring. Furthermore, the data policy elements can be classified as follows: - Mandatory: application, aims/objectives, definitions, roles and responsibilities, data rights, and storage and retention - Recommended: implementation, DMP, accessibility, and disposal and destruction - Optional items: cost and risk management, citation and publication, ethics reviews, and related issues 9. Compared with publishers and funders, HEI data policies have more comprehensive elements to fulfill requirements derived from external and internal stakeholders. On the other hand, academic publishers’ data policies concentrate on data sharing, data availability statements, data citation, and peer reviews, whereas funders’ policies focus on DMP, funding, cost, data access, and sharing. In conclusion, the principal contributions of the study are as follows: 1. Types of HEI data policies are proposed. 2. The relationship between data policies and other vital documents are classified into four types as follows: influence, reference, adaptation, and conflict 3. A comparison of data policies between HEIs, academic publishers, and funders is investigated. 4. The framework of HEI data policies, its categories elements, and their distribution are addressed. 5. Five characteristics embedded in the naming of HEI’s data policy titles are provided. |
| 第三語言摘要 | |
| 論文目次 |
目次 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的與問題 9 第三節 研究範圍與限制 10 第四節 預期貢獻 11 第五節 名詞定義 11 第二章 文獻探討 15 第一節 學術環境變遷與RDM 15 第二節 資料政策的重要性、類型與原則 23 第三節 資料政策發展概況:項目與框架 30 第三章 研究方法 51 第一節 研究設計 51 第二節 資料處理與研究工具 54 第四章 研究結果與分析 65 第一節 全球頂尖高教機構資料政策發展之情形 65 第二節 全球頂尖高教機構資料政策之項目及其內容與分布 79 第三節 高教機構資料政策框架之建構與分析 115 第五章 結論與建議 123 第一節 結論 123 第二節 研究貢獻 128 第三節 研究限制與未來研究建議 130 參考文獻 133 附錄一 :縮寫(abbreviations)字詞表 151 附錄二 :全球頂尖高教機構之交集(研究對象)統整列表 155 附錄三 :調查項目定義對照表 161 附錄四 :編碼簿 165 附錄五 :調查結果─全球頂尖高教機構資料政策名稱與類型列表 173 附錄六 :機構內部重要文件之分類表 177 附錄七 :機構外部重要文件之分類表 179 附錄八 :高教機構資料政策具體程度之調查結果 181 表次 表 1 資料政策之面向與類型表 26 表 2 高教機構資料政策與其他政策間關係統整表 30 表 3 學術出版者/期刊標準化資料政策與框架之項目統整表 32 表 4 Wiley標準化資料共享政策 33 表 5 資助者資料政策研究之調查項目統整表 35 表 6 高教機構資料政策設立情形相關研究統整表 38 表 7 高教機構資料政策相關研究發現統整表 40 表 8 高教機構資料政策報告、調查與研究之調查項目統整表 43 表 9 高教機構、學術出版者與資助者資料政策項目比較表 49 表 10 高教機構洲別、國別分佈表 52 表 11 高教機構排名爬取之資料統整表 55 表 12 高教機構資料政策類型之分類架構 58 表 13 高教機構資料政策與其他重要文件關係之操作型定義 58 表 14 高教機構資料政策組織方式之操作型定義 59 表 15 政策類型與題名之案例 60 表 16 高教機構資料政策檢索關鍵字詞或策略統整表 60 表 17 高教機構資料政策之類別表 61 表 18 各國高教機構資料政策之設立情況(N = 55) 66 表 19 各國高教機構資料政策之類型(n = 42) 67 表 20 高教機構資料政策受外部政策影響之類型表 73 表 21 相關連結中機構內部重要文件之累積比率前80%主題列表 74 表 22 相關連結中機構外部重要文件之累積比率前80%主題列表 75 表 23 內文參見中機構內部重要文件之累積比率前80%主題列表 76 表 24 內文參見中機構外部重要文件之主題分類列表 76 表 25 高教機構資料政策四種參見關係之主要主題類別表 77 表 26 政策組織方式列聯表(N = 39) 79 表 27 高教機構資料政策題名字詞使用次數累積比率前 80%之列表 80 表 28 高教機構資料政策題名之名稱資料類型化字詞表 81 表 29 高教機構資料政策題名之名稱主題化字詞表 82 表 30 高教機構資料政策「宗旨與目的」統整表 86 表 31 名詞被定義次數之累積比率前50%列表 89 表 32 高教機構資料政策規範之相關利益者比率表 94 表 33 高教機構資料政策基礎保存時間統計資料圖 108 表 34 高教機構資料政策項目與表10項目之比對表 117 表 35 高教機構資料政策各項目調查結果之原始與加權表 118 表 36 高教機構資料政策與學術出版者、資助者資料政策項目之比較表 121 圖次 圖 1 Jim Gray的科學典範 16 圖 2 學術紀錄的演進與類型 18 圖 3 研究架構圖 54 圖 4 高教機構清單初步彙整示意圖 56 圖 5 研究流程圖 64 圖 6 RQ和研究結果與分析之對照圖 65 圖 7 獨立式資料政策類型圓環圖 68 圖 8 隸屬式資料政策類型圓環圖 68 圖 9 高教機構資料政策之年代直方圖 69 圖 10 高教機構資料政策受機構內外部政策影響之關係圖 71 圖 11 政策適用範圍說明圖 82 圖 12 高教機構資料政策與其他政策衝突之應對情形 87 圖 13 名詞被定義次數之累積比率前50%柱線圖 90 圖 14 各類型重要名詞定義數量與被定義次數之比率堆疊直條圖 90 圖 15 高教機構資料政策中研究資料與研究紀錄定義重疊情形說明圖 93 圖 16 高教機構資料政策中相關利益者主要職責之桑基圖 95 圖 17 高教機構資料政策中研究者與PI主要職責之桑基圖 97 圖 18 高教機構資料政策中資訊部門與圖書館主要職責之桑基圖 99 圖 19 高教機構資料政策中資料擁有權、保管權歸屬之桑基圖 101 圖 20 高教機構資料政策中PI離職之資料移轉泳道圖 104 圖 21 高教機構資料政策儲存與保存規範架構圖 107 圖 22 高教機構資料政策基礎保存時間盒鬚圖 108 圖 23 高教機構資料政策項目架構圖 116 圖 24 高教機構資料政策之框架 119 |
| 參考文獻 |
大學法(2019年12月11日)。檢自https://law.moj.gov.tw/LawClass/LawAll.aspx?PCode=H0030001 邢文明、宋劍(2019)。英國高校科研數據政策內容分析。數字圖書館論壇,2019(1),21-29。doi:10.3772/j.issn.1673-2286.2019.01.003 邢文明、湯雅靜、秦順(2019)。國外教育機構科研數據管理政策大綱解讀及啟示。數字圖書館論壇,2019(5),9-16。doi:10.3772/j.issn.1673-2286.2019.05.002 国立大学法人東京大学(2016)。国立大学法人東京大学における研究資料等の保存に関する指針。檢自https://www.u-tokyo.ac.jp/gen01/reiki_int/reiki_honbun/au07410541.html 科技部補助專題研究計畫作業要點(2022年3月8日)。檢自https://law.most.gov.tw/LawContent.aspx?id=FL026713&kw=%e7%a7%91%e6%8a%80%e9%83%a8%e8%a3%9c%e5%8a%a9%e5%b0%88%e9%a1%8c%e7%a0%94%e7%a9%b6%e8%a8%88%e7%95%ab%e4%bd%9c%e6%a5%ad%e8%a6%81%e9%bb%9e 科技部對研究人員學術倫理規範(2019年11月21日)。檢自https://law.most.gov.tw/LawContent.aspx?id=GL000282&kw=%e7%a7%91%e6%8a%80%e9%83%a8%e5%b0%8d%e7%a0%94%e7%a9%b6%e4%ba%ba%e5%93%a1%e5%ad%b8%e8%a1%93%e5%80%ab%e7%90%86%e8%a6%8f%e7%af%84 國務院辦公廳(2018年3月17日)。科學資料管理辦法。檢自http://www.gov.cn/zhengce/content/2018-04/02/content_5279272.htm 張建成(2000)。高等教育。在教育大辭書。檢自https://terms.naer.edu.tw/detail/1308939/?index=1 陸怡靖、柯皓仁(2020)。學者研究資料管理認知與實踐之研究。圖書資訊學刊,18(2),103-137。doi:10.3182/jlis.202012_18(2).103 劉韞照、劉文江(2020)。世界一流高校科研數據管理政策研究。大學圖書情報學刊,38(3),31-41。 鄭瑋(2021年4月7日)。淺談資料密集科學觀點的開放科學與研究再現性[Webinar]。EBSCO Taiwan。檢自https://youtu.be/Ue9hkeYlva4 賴璟毅、黃文琪(2021年11月27日)。國立臺灣大學圖書館研究資料管理服務發展暨服務需求分析。在圖書資訊學術與實務研討會。臺灣大學圖書資訊學系、中華民國圖書館學會主辦,新北市。檢自https://sites.google.com/view/colisp2021 魏悅、劉桂鋒(2017)。基於數據生命週期的國外高校科學數據管理與共享政策分析。情報雜誌,36(5),153-158。doi:10.3969/j.issn.1002-1965.2017.05.027 羅靜純(2004)。大學機構典藏政策之研究(未出版之碩士論文)。淡江大學資訊與圖書館學系碩士班,新北市。 Academic Ranking of World Universities. (n.d.). ShanghaiRanking's Academic Ranking of World Universities methodology 2021. Retrieved from https://www.shanghairanking.com/methodology/arwu/2021 Association of College & Research Libraries Research Planning and Review Com-mittee. (2010). 2010 top trends in academic libraries: A review of the trends and issues affecting academic libraries in higher education. College & Research Li-braries News, 71(6), 286-292. doi:10.5860/crln.71.6.8385 Association of College & Research Libraries Research Planning and Review Com-mittee. (2012). 2012 top trends in academic libraries: A review of the trends and issues affecting academic libraries in higher education. College & Research Li-braries News, 73(6), 311-320. doi:10.5860/crln.73.6.8773 Association of College & Research Libraries Research Planning and Review Com-mittee. (2014). Top trends in academic libraries: A review of the trends and is-sues affecting academic libraries in higher education. College & Research Li-braries News, 75(6), 294-302. doi:10.5860/crln.75.6.9137 Association of College & Research Libraries Research Planning and Review Com-mittee. (2016). 2016 top trends in academic libraries: A review of the trends and issues affecting academic libraries in higher education. College & Research Li-braries News, 77(6), 274-281. doi:10.5860/crln.77.6.9505 Association of College & Research Libraries Research Planning and Review Com-mittee. (2018). 2018 top trends in academic libraries: A review of the trends and issues affecting academic libraries in higher education. College & Research Li-braries News, 79(6), 286-293, 300. doi:10.5860/crln.79.6.286 Association of College & Research Libraries Research Planning and Review Com-mittee. (2020). 2020 top trends in academic libraries: A review of the trends and issues affecting academic libraries in higher education. College & Research Li-braries News, 81(6), 270-278. doi:10.5860/crln.81.6.270 Australian Code for Responsible Conduct of Research. (2018). Canberra: National Health and Medical Research Council. Retrieved from https://www.nhmrc.gov.au/about-us/publications/australian-code-responsible-conduct-research-2018#block-views-block-file-attachments-content-block-1 The Australian National University. (2020). Conduct of Research. Retrieved from https://policies.anu.edu.au/ppl/document/ANUP_007403 Averkamp, S., Gu, X., & Rogers, B. (2014). Data management at the University of Iowa: A university libraries report on campus research data needs. Iowa Re-search Online. doi:10.17077/t5j5-ry3i Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature, 533, 452-454. doi:10.1038/533452a Bodleian Libraries. (2020). About ORA. Retrieved from https://www2.bodleian.ox.ac.uk/ora/about Bodleian Libraries. (2021). What is ORA-Data. Retrieved from https://libguides.bodleian.ox.ac.uk/ora-data/about-ora-data Bohémier, K. A., Atwood, T., Kuehn, A., & Qin, J. (2011). A content analysis of in-stitutional data policies. Paper presented at the Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries, Ottawa, On-tario, Canada. doi:10.1145/1998076.1998159 Borgman, C. L. (2012). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059-1078. doi: 10.1002/asi.22634 Briney, K., Goben, A., & Zilinski, L. (2015). Do you have an institutional data policy? A review of the current landscape of library data services and institutional data policies. Journal of Librarianship and Scholarly Communication, 3(2). doi:10.7710/2162-3309.1232 Briney, K., Goben, A., & Zilinski, L. (2017). Institutional, funder, and journal data policies. In L. R. Johnston (Ed.), Curating Research Data: Vol. 1 Practical Strategies for Your Digital Repository (chapter2, pp. 61-78). Chicago, IL: Asso-ciation of College and Research Libraries. Buys, C. M., & Shaw, P. L. (2015). Data management practices across an institution survey and report. Journal of Librarianship and Scholarly Communication, 3(2), eP1225. doi:10.7710/2162-3309.1225 Center of Open Science. (n.d.). TOP guideline. Retrieved from https://www.cos.io/initiatives/top-guidelines Chawinga, W. D., & Zinn, S. (2019). Global perspectives of research data sharing: A systematic literature review. Library and Information Science Research, 41, 109-122. doi:10.10.16/j.lisr.2019.04.04 Christian, T.-M., Gooch, A., Vision, T., & Hull, E. (2020). Journal data policies: Ex-ploring how the understanding of editors and authors corresponds to the poli-cies themselves. PLoS ONE, 15(3), e0230281. doi:10.1371/journal.pone.0230281 Columbia University . (2017). Guidance on retention of research data. Retrieved from https://research.columbia.edu/sites/default/files/content/RCT%20content/Research%20Data/Research%20Data%20Retention%20Guidance%2010.17.17.pdf Cornell University. (2022). Research data retention. Retrieved from https://policy.cornell.edu/sites/default/files/vol4_21.pdf Consortia Advancing Standards in Research Administration Information. (n.d.). Re-search data management glossary. Retrieved from https://casrai.org/rdm-glossary/ Corti, L., Van den Eynden, V., Bishop, L., & Woollard, M. (2014a). The importance of managing and sharing research data. In Managing and sharing research data : a guide to good practice (chapter 1, pp.1-16). London: Sage Publications Ltd. Corti, L., Van den Eynden, V., Bishop, L., & Woollard, M. (2014b). The research data lifecycle. In Managing and sharing research data : a guide to good practice (chapter 2, pp.17-23). London: Sage Publications Ltd. Cox, A. M., Kennan, M. A., Lyon, L., & Pinfield, S. (2017). Developments in re-search data management in academic libraries: Towards an understanding of research data service maturity. Journal of the Association for Information Sci-ence and Technology, 68(9), 2182-2200. doi:10.1002/asi.23781 Cox, A. M., Pinfield, S., & Smith, J. (2016). Moving a brick building: UK libraries coping with research data management as a ‘wicked’ problem. Journal of Li-brarianship and Information Science, 48(1), 3-17. doi:10.1177/0961000614533717 DataCite. (n.d.). Cite your data. Retrieved from https://datacite.org/cite-your-data.html Data Curation Centre. (n.d.). Overview of funders' data policies. Retrieved from https://www.dcc.ac.uk/guidance/policy/overview-funders-data-policies The Data Life-Cycle Management Project. (2016). Research data management policy template (Version 1.3). Retrieved from https://www.dlcm.ch/resources/dlcm-policy Dietrich, D., Adamus, T., Miner, A., & Steinhart, G. (2012). De-mystifying the data management requirements of research funders. Issues in Science and Technolo-gy Librarianship, 70. doi:10.5062/F44M92G2 Donnelly, M. (2014). Five steps to developing a research data policy. Retrieved from https://www.dcc.ac.uk/guidance/policy/five-steps-developing-research-data-policy Dryad. (2020). Joint data archiving policy (JDAP). Retrieved from https://datadryad.org/docs/JointDataArchivingPolicy.pdf Duke University. (2007). Policy on research records: Sharing, retention and owner-ship. Retrieved from https://provost.duke.edu/sites/default/files/FHB_App_P.pdf Economic and Social Research Council. (2018). Research data policy. Retrieved from https://esrc.ukri.org/funding/guidance-for-grant-holders/research-data-policy/ Erway, R. (2013). Starting the conversation: University-wide research data man-agement policy. Dublin, OH: OCLC Research. Retrieved from https://eric.ed.gov/?id=ED564819 European Commission. (n.d.). Data management. Retrieved from https://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-data-management/data-management_en.htm European Commission. (2016). Guidelines on FAIR data management in Horizon 2020 (Version 3). Retrieved from https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf Facilitate Open Science Training for European Research Project. (n.d.). Research data management policies. Retrieved from https://www.fosteropenscience.eu/taxonomy/term/141 Fearon, D. Jr., Gunia, B., Lake, S., Pralle, B. E., & Sallans, A. L. (2013). SPEC Kit 334: Research data management services. Washington, DC: Association of Re-search Libraries. doi:10.29242/spec.334 Food and Drug Administration. (2015). Plan to increase access to results of FDA-funded scientific research. Retrieved from https://www.fda.gov/media/90883/download FORCE 11. (n.d.). Endorse the data citation principles. Retrieved from https://force11.org/info/endorse-the-data-citation-principles/ Gaillard, M. (2017). CERN Data Centre passes the 200-petabyte milestone: The CERN Data Centre passed a major milestone on 29 June 2017 with more than 200 petabytes of data now archived on tape. CERN Accelerating science. Re-trieved from https://home.cern/news/news/computing/cern-data-centre-passes-200-petabyte-milestone Gaba, J. F., Siebert, M., Dupuy, A., Moher, D., & Naudet, F. (2020). Funders’ da-ta-sharing policies in therapeutic research: A survey of commercial and non-commercial funders. PLoS ONE, 15(8), e0237464. doi:10.1371/journal.pone.0237464 Hall, N., Mann, W., Corey, B., & Wilson, T. (2013). Model language for research data management policies. Durham, NC: Association of Southeastern Research Libraries. Retrieved from https://www.fosteropenscience.eu/content/model-language-research-data-management-policies Hanson, B., Sugden, A., & Alberts, B. (2011). Making data maximally available. Science, 331, 649. doi:10.1126/science.1203354 Harvard University. (2017). Retention and maintenance of research records and data. Retrieved from https://cpb-us-e1.wpmucdn.com/websites.harvard.edu/dist/6/18/files/2020/07/research_records_and_data_retention_and_maintenance_guidance_rev_2017.pdf Hazelkorn, E. (2014). Reflections on a decade of global rankings. European Journal of Education, 49(1), 12-28. doi:10.1111/ejed.12059 Hey, T., Tansley, S., & Tolle, K. (2009). Jim Gray on eScience: A transformed scien-tific method. In The Fourth Paradigm: Data-Intensive Scientific Discovery. Redmond, DC: Microsoft Research. Retrieved from https://www.microsoft.com/en-us/research/wp-content/uploads/2009/10/Fourth_Paradigm.pdf Higman, R. & Pinfield, S. (2015). Research data management and openness. Pro-gram: electronic library and information systems, 49(4), 364-381. doi:10.1108/PROG-01-2015-0005 Hooft, R. (n.d.). About research data management. Retrieved from https://www.dtls.nl/fair-data/training/research-data-management/ Horton, L. (2018). UK higher education institution research data management poli-cies, 2009-2016 [Data Collection]. Colchester, Essex: UK Data Archive. doi:10.5255/UKDA-SN-851566. Hrynaszkiewicz, I., Birukou, A., Astell, M., Swaminathan, S., Kenall, A., & Khodiyar, V. (2017). Standardising and harmonising research data policy in scholarly pub-lishing. International Journal of digital curation, 12(1), 65-71. doi: 10.2218/ijdc.v12i1.531. Hrynaszkiewicz, I., Simons, N., Hussain, A., Grant, H., & Goudie, S. (2020). Devel-oping a research data policy framework for all journals and publishers. Data Science Journal, 19(5), 1-15. doi:10.5334/dsj-2020-005 Huang, Y., Cox, A. M., & Sbaffi, L. (2021). Research data management policy and practice in Chinese university libraries. Journal of the Association for Infor-mation Science and Technology, 72(4), 493-506. doi:10.1002/asi.24413 ICPSR Data Stewardship Policy Committee. (2018). ICPSR digital preservation policy framework. Retrieved from https://www.icpsr.umich.edu/web/pages/datamanagement/preservation/policies/dpp-framework.html Imperial College London. (n.d.-a). How to write a data access statement. Retrieved from https://www.imperial.ac.uk/research-and-innovation/support-for-staff/scholarly-communication/research-data-management/sharing-data/how-to-write-a-data-access-statement/ Imperial College London. (n.d.-b). Research data management policy. Retrieved from https://www.imperial.ac.uk/media/imperial-college/research-and-innovation/research-office/public/Imperial-College-RDM-Policy.pdf Johns Hopkins University. (2008). Policy on access and retention of research data and materials. Retrieved from https://dataservices.library.jhu.edu/wp-content/uploads/sites/41/2019/02/JHUDataRetentionPolicy2008_WithAppendices.pdf Johns, S. (2011). Research data policy briefing. Retrieved from https://www.dcc.ac.uk/sites/default/files/documents/resource/policy/DCC_policy_briefing_2011.pdf Jones, L., Grant, R., & Hrynaszkiewicz, I. (2019). Implementing publisher policies that inform, support and encourage authors to share data: two case studies. In-sights, 32(1), 1-11. doi: 10.1629/uksg.463 Joseph, H. (2016). The evolving U.S. policy environment for open research data. In-formation Services & Use, 36, 45-48. doi:10.3233/ISU-160806 Katholieke Universiteit Leuven. (2022). RDM policy at KU Leuven. Retrieved from https://www.kuleuven.be/rdm/en/rdm-policy/policy Keralis, S. D. C., Stark, S., Halbert, M., & Moen, W. E. (2013). Research data man-agement in policy and practice: The DataRes Project. In Research Data Man-agement: Principles, Practices, and Prospects (pp.16-38). Washington, DC: Council on Library and Information Resources. Kim, J., Kim, S., Cho, H.-M., Chang, J. H., & Kim, S. Y. (2020). Data sharing poli-cies of journals in life, health, and physical sciences indexed in Journal Citation Reports. PeerJ, e9924. doi:10.7717/peerj.9924 Knight, G. (2012). Funder requirements for data management and sharing (Version 1.0). London School of Hygiene and Tropical Medicine. Retrieved from https://researchonline.lshtm.ac.uk/id/eprint/208596/1/Funder_Requirements_Analysis.pdf Koltay, T. (2017). Data literacy for researchers and data librarians. Journal of Li-brarianship and Information Science, 49(1), 3-14. Lavoie, B., & Malpas, C. (2015). Stewardship of the evolving scholarly record: From the invisible hand to conscious coordination. Dublin, OH: OCLC Research. doi:10.25333/C3J63N. Lavoie, B., Childress, E., Erway, R., Faniel, I., Malpas, C., Schaffner, J., & van der Werf, T. (2014). The evolving scholarly record. Dublin, OH: OCLC Research. doi:10.25333/C3763V LEaders Activating Research Networks Project. (2017a). Evaluation grid of RDM policies in Europe. In Toolkit of Best Practice for Research Data Management (pp.141). Retrieved from http://learn-rdm.eu/wp-content/uploads/LEARN_Evaluation-Grid-for-RDM-Policies-in-Europe_Version-1.0-August-2016.pdf LEaders Activating Research Networks Project. (2017b). Model policy for research data management (RDM) at research institutions/institutes. In Toolkit of Best Practice for Research Data Management (pp.133-136). doi:10.14324/000.learn.26 LEaders Activating Research Networks Project. (2017c). Guidance for developing a research data management (RDM) Policy. In Toolkit of Best Practice for Re-search Data Management (pp.137-140). doi:10.14324/000.learn.27 Liu, G., Zotoo, I. K., & Su, W. (2020). Research data management policies in USA, UK and Australia universities: An online survey. Malaysian Journal of Library & Information Science, 25(2), 21-42. doi:10.22452/mjlis.vol25no2.2 Lutkevich, B. (2020). framework. Retrieved from https://www.techtarget.com/whatis/definition/framework Max Planck Open Access. (2003). Berlin declaration on open access to knowledge in the sciences and humanities. Retrieved from https://openaccess.mpg.de/Berlin-Declaration McArthur, S. L. (2019). Repeatability, reproducibility, and replicability: Tackling the 3R challenge in biointerface science and engineering. Biointerphases, 14(2), 020201. doi:10.1116/1.5093621 McNutt, M. (2016). Implementation of TOP guidelines for Science (Supplementary materials for taking up TOP). Retrieved from http://www.sciencemag.org/content/352/6290/1147/suppl/DC1 Mellor, D. T. (2020). TOP Guidelines summary table. Retrieved from https://osf.io/2cz65/?show=view Monash University. (2020). Research data management policy. Retrieved from https://www.monash.edu/policy-bank/policies-and-procedures/academic/research/Research-Data-Management-Policy.pdf Morais, R., Saenen, B., Garbuglia, F., Berghmans, S., & Gaillard, V. (2021). From principles to practices: Open science at Europe’s universities 2020-2021 EUA open science survey results. Brussels, Belgium: European University Associa-tion. Retrieved from https://eua.eu/resources/publications/976:from-principles-to-practices-open-science-at-europe%E2%80%99s-universities-2020-2021-eua-open-science-survey-results.html Morse, R., & Castonguay, A. (2021). How U.S. News calculated the best global uni-versities rankings. Retrieved from https://www.usnews.com/education/best-global-universities/articles/methodology National Health and Medical Research Council. (2019). Management of data and information in research: A guide supporting the Australian Code for the Re-sponsible Conduct of Research. Retrieved from https://www.nhmrc.gov.au/sites/default/files/documents/attachments/Management-of-Data-and-Information-in-Research.pdf National Institutes of Health. (2003). Final NIH statement on sharing research data. Retrieved from https://grants.nih.gov/grants/guide/notice-files/NOT-OD-03-032.html National Institutes of Health. (2020). Final NIH policy for data management and sharing. Retrieved from https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html National Research Council. (2007). Data stewardship. In Environmental Data Man-agement at NOAA: Archiving, Stewardship, and Access (chapter 4, pp. 41-54). Washington, DC: The National Academies Press. National Science Foundation. (2011). Other post award requirements and considera-tions. In Award and Administration Guide (chapter VI). Retrieved from https://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/aag_6.jsp#VID4 National Science Foundation. (2020). Proposal preparation instructions. In Award and Administration Guide (chapter II). Retrieved from https://www.nsf.gov/pubs/policydocs/pappg20_1/pappg_2.jsp Nanyang Technological University. (n.d.). NTU research data policy. Retrieved from https://www.ntu.edu.sg/research/ntu-research-data-policy New York University. (2010). Policy on retention of and access to research data. Re-trieved from https://www.nyu.edu/about/policies-guidelines-compliance/policies-and-guidelines/retention-of-and-access-to-research-data.html Neylon, C. (2017). Building a culture of data sharing: Policy design and implemen-tation for research data management in development research. Research Ideas and Outcomes, 3, e21773. doi:10.3897/rio.3.e217773 Northwestern University. (2018). Research data: Ownership, retention and access policy. Retrieved from https://cpb-us-e1.wpmucdn.com/sites.northwestern.edu/dist/d/2780/files/2022/01/Research_Data_Policy.pdf Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., … DeHaven, A. C. (2020, November 1). Transparency and openness promo-tion (TOP) guidelines. Retrieved from https://osf.io/9f6gx The Organisation for Economic Co-operation and Development. (2007). OECD principles and guidelines for access to research data from public funding. Re-trieved from https://www.oecd-ilibrary.org/content/publication/9789264034020-en-fr Perrier, L., Blondal, E., Ayala, A. P., Dearborn, D., Kenny, T., Lightfoot, D., …MacDonald, H. (2017). Research data management in academic institu-tions: A scoping review. PLoS ONE, 12(5), e0178261. doi:10.1371/journal.pone.0178261 Piwowar, H. A., & Chapman, W. A. (2008). A review of journal policies for sharing research data. Paper presented at the Sustainability in the Age of Web 2.0 - Proceedings of the 12th International Conference on Electronic Publishing, To-ronto, Canada. Retrieved from https://elpub.architexturez.net/doc/oai-elpub-id-001-elpub2008 Portage Institutional RDM Strategy Working Group. (2020). Institutional research data management strategy guidance (Version 3). doi:10.5281/zenodo.4558229 Princeton Research Data Service. (n.d.). Research lifecycle guide. Retrieved from https://researchdata.princeton.edu/research-lifecycle-guide/research-lifecycle-guide Public Library of Science. (2019). Data availability. Retrieved from https://journals.plos.org/plosone/s/data-availability Public Record Office Victoria. (2019). PROS 16/07 VAR 1 Retention and disposal authority for records of the higher and further education functions. Retrieved from https://prov.vic.gov.au/recordkeeping-government/document-library/pros-1607-higher-and-further-education-functions Quacquarelli Symonds World University Rankings. (2021). QS World University Rankings – methodology. Retrieved from https://www.topuniversities.com/qs-world-university-rankings/methodology Redden, E. (2014). 'U.S. News' to issue new global university rankings. Inside High-er Ed. Retrieved from https://www.insidehighered.com/quicktakes/2014/10/10/us-news-issue-new-global-university-rankings Research Data Oxford. (n.d.). Research data glossary. Retrieved from https://researchdata.ox.ac.uk/home/glossary/ Schöpfel, J., & Prost, H. (2016). Research data management in social science and humanities: A survey at the University of Lille (France). LIBREAS. Library Ideas, 29, 98-112. doi:10.18432/9097 Shearer, K. (2015). Comprehensive brief on research data management policies. Re-trieved from https://portagenetwork.ca/wp-content/uploads/2016/03/Comprehensive-Brief-on-Research-Data-Management-Policies-2015.pdf Singh, N. K., Monu, H., & Dhingra, N. (2018). Research data management: Policy and institutional framework. In 2018 5th International Symposium on Emerging Trends and Technologies in Libraries and Information Services (ETTLIS) (pp.111-115). India: IEEE. doi:10.1109/ETTLIS.2018.8485259 Sorbonne University. (2021). Policy for promoting open science actions in the in-ternal evaluation of research. Retrieved from https://www.sorbonne-universite.fr/sites/default/files/media/2021-08/03Politique%20douverture%20des%20donnes_EN_VD.pdf Springer Nature. (n.d.-a). Data availability statements. Retrieved from https://www.springernature.com/gp/authors/research-data-policy/data-availability-statements/12330880 Springer Nature. (n.d.-b). Research data policies FAQs. Retrieved from https://www.springernature.com/gp/authors/research-data-policy/data-policy-faqs Strasser, C. (2015). Research data management: A primer. Baltimore, MD: NISO. Retrieved from http://www.niso.org/publications/primer-research-data-management Times Higher Education World University Rankings. (2020a). Methodology for overall and subject rankings for the Times Higher Education World University Rankings 2021. Retrieved from https://www.timeshighereducation.com/sites/default/files/breaking_news_files/the_2021_world_university_rankings_methodology_24082020final.pdf Times Higher Education World University Rankings. (2020b). THE World University Rankings 2021: methodology. Retrieved from https://www.timeshighereducation.com/world-university-rankings/world-university-rankings-2021-methodology Tripathi, M., Shukla, A., & Sonker, S. K. (2017). Research data management prac-tices in university libraries: A study. Journal of Library & Information Tech-nology, 37(6), 417-424. doi:10.14429/djlit.37.11336 UK Data Service. (n.d.). Access levels and conditions. Retrieved from https://ukdataservice.ac.uk/find-data/access-conditions/ UK Data Service. (2019). Research data lifecycle [video]. Retrieved from https://youtu.be/-wjFMMQD3UA UK Research and Innovation. (2016). Concordat on open research data. Retrieved from https://www.ukri.org/wp-content/uploads/2020/10/UKRI-020920-ConcordatonOpenResearchData.pdf United Nations Education Scientific and Cultural Organization. (2021). UNESCO recommendation on open science. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000379949.locale=en United Nations Education Scientific and Cultural Organization. (2018). Recommen-dation on science and scientific researchers. Retrieved from https://en.unesco.org/themes/ethics-science-and-technology/recommendation_science University College London. (2020). UCL research data policy. Retrieved from https://www.ucl.ac.uk/isd/sites/isd/files/ucl_research_data_policy_v6.pdf The University of Bristol. (2015). Research data management and open data policy. Retrieved from http://www.bristol.ac.uk/research/environment/governance/research-data-policy/ University of Cambridge. (2019). Open research position statement. Retrieved from https://osc.cam.ac.uk/open-research/open-research-position-statement University of Cambridge. (2021). University of Cambridge research data manage-ment policy framework. Retrieved from https://www.repository.cam.ac.uk/bitstream/handle/1810/264785/POL_RDMPolicyFramework_Revision3_20210212.pdf?sequence=16&isAllowed=y The University of Chicago. (2019). Research data protection policy. Retrieved from https://srds.uchicago.edu/research-data-protection-policy/ University of Copenhagen. (2022). Policy for research data management. Retrieved from https://research.ku.dk/integrity/documents/UCPH_Policy_for_Research_Data_Management_2022.pdf The University of Edinburgh. (2021). Research data management policy. Retrieved from https://era.ed.ac.uk/bitstream/handle/1842/38236/UoE-RDM-Policy-in-template-10-11-2021.pdf?sequence=2&isAllowed=y The University of Hong Kong. (2021). Research data and records management. Re-trieved from http://www.rss.hku.hk/integrity/research-data-records-management The University of Kent. (2017). Research data management policy. Retrieved from https://www.kent.ac.uk/is/strategy/docs/Research%20Data%20Management%20Policy.pdf The University of Manchester. (n.d.). Data access statements. Retrieved from https://www.library.manchester.ac.uk/using-the-library/staff/research/research-data-management/sharing/data-access-statements/ The University of Manchester. (2021). Research data management policy. Retrieved from https://documents.manchester.ac.uk/DocuInfo.aspx?DocID=33802%20 The University of Melbourne. (n.d.). 11.3.5 : Datasets not involving clinical trials or minors. Retrieved from https://records.unimelb.edu.au/services/disposal/rda University of Oxford. (2018). Policy on the management of data supporting research outputs. Retrieved from http://blogs.bodleian.ox.ac.uk/rdm/wp-content/uploads/sites/126/2018/12/Policy-on-the-Management-of-Data-Supporting-Research-Outputs.pdf The University of Sydney. (2021). Research data management policy 2014. Re-trieved from https://www.sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2013/337&RendNum=0 The University of Queensland. (2021). Research data management – policy. Re-trieved from https://ppl.app.uq.edu.au/content/4.20.06-research-data-management University of Washington. (2008). GIM 37 – Research data. Retrieved from https://www.washington.edu/research/policies/gim-37-research-data/ University of Wisconsin–Madison. (2010). Data stewardship, access, and retention. Retrieved from https://policy.wisc.edu/library/UW-4032 University of Zurich. (2021). Open science policy. Retrieved from https://www.openscience.uzh.ch/dam/jcr:9ee11b51-76dd-48bf-a1df-3eb292a8a27e/UZH_OpenSciencePolicy_e.pdf van Zeeland, H., & Ringersma, J. (2017). The development of a research data policy at Wageningen University & Research: Best practices as a framework. LIBER Quarterly, 27(1), 153-170. doi:10.18352/lq.10215 Whyte, A. & Rans, J. (n.d.). Research data management. Retrieved from https://www.dcc.ac.uk/about/digital-curation/glossary Wiley. (n.d.). Wiley’s data sharing policies. Retrieved from https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/data-sharing-citation/data-sharing-policy.html Wilkinson, M., Amos, H., Morton, L., Flaherty, B., Hearne, S., Lynch., H., …Elliot, G. (2016). Research data management framework report. Wellington: New Zea-land Vice-Chancellors’ Committee. Retrieved from https://www.universitiesnz.ac.nz/files/CONZUL-RDM%20Framework%20Report%202015%20FINAL.pdf The Wellcome Trust. (n.d.). Data, software and materials management and sharing policy. Retrieved from https://wellcome.org/grant-funding/guidance/data-software-materials-management-and-sharing-policy Zhang, L., Downs, R. R., Li, J., Wen, L., & Li, C. (2021). A review of open research data policies and practices in China. Data Science Journal, 20(1), 1-17. doi:10.5334/dsj-2021-003 |
| 論文全文使用權限 |
如有問題,歡迎洽詢!
圖書館數位資訊組 (02)2621-5656 轉 2487 或 來信