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TIPD : Taiwan Indigenous Peoples Open Research Data 台灣原住民基礎開放研究資料庫
No full textTIPD : Taiwan Indigenous Peoples open research Data 台灣原住民基礎開放研究資料庫
** New publication:
１_Springer Nature Scocial Sciences entitled "Migration dynamics of hard-to-reach population in the context of regional disparities based on longitudinally linked register in Taiwan" at https://doi.org/10.1007/s43545-025-01049-1 or https://link.springer.com/article/10.1007/s43545-025-01049-1.
2_PDF Download URL : https://link.springer.com/content/pdf/10.1007/s43545-025-01049-1.pdf
1_CopyLeft(L) 2013-2024, Council of Indigenous Peoples (https://www.cip.gov.tw/), Taiwan.
2_Acknowledgement: The research is mainly supported by grants of “Research on Contemporary Taiwan Indigenous Peoples” from Council of Indigenous Peoples in 2013-2022. The research is also granted by National Science and Technology Council, grant numbers: MOST 106-2420-H-001-008-MY2; MOST 106-2420-H-156-001-MY2; MOST 109-2420-H-001-003; MOST 109-2420-H-156-001; NSTC 112-2410-H-001-075-MY2. We appreciate some research grants from Academia Sinica.
3_誌謝：本計畫"台灣原住民基礎開放研究資料庫" (TIPD, https://osf.io/e4rvz/) 主要由原住民族委員會支援研究經費；國科會亦支持本計畫之相關計畫，計畫編號：MOST 106-2420-H-001-008-MY2; MOST 106-2420-H-156-001-MY2; MOST 109-2420-H-001-003; MOST 109-2420-H-156-001; NSTC 112-2410-H-001-075-MY2；我們亦感謝中研院支持部分研究經費。
4_連絡Contact E-mail: [email protected]
為何是CopyLEFT/Why CopyLEFT:
"CopyLEFT (L)" is an effective way of building mutual trust that leads to mutual understanding, collaboration, and innovation.
"CopyLeft(L)"是促進互信的有效方式，其公開特質將進一步促進相互理解、協同合作、及創新。
法律及倫理議題/Legal and ethical issues:
TIPD archives have been approved by IRB board of Academia Sinica and Council of Indigenous Peoples that the archives fully comply with legal and ethical requirements.
TIPD資料已由中研院倫理審查委員會及原住民族委員會認可符合法律及倫理規範。
快速下載/Quick download:
Click here to start downloading TIPD open data: https://osf.io/e4rvz/files/
點選這裡立即下載TIPD開放資料: https://osf.io/e4rvz/files/
語言/Languages:
TIPD is bilingual in English and traditional Chinese
TIPD以雙語資訊呈現，包括英文及繁體中文
資料來源引用 Citation of data source:
If TIPD helps overcoming data & information constraints in your research & work, please kindly acknowledge TIPD's contribution. We will be highly encouraged!
如果TIPD對您研究工作有助益，請不吝引用或說明為研究資料來源，這對我們是另種形式鼓勵！
連絡方式及通報錯誤/Contact and report errata:
E-mail: [email protected]
電子郵件: [email protected]
當代台灣原住民相關資料 Related Projects TIPs on OSF:
1. Lin, Ji-Ping, Ming-Cheng Lee, Hiu Ha Chong, Li-Chuan Liu, Kui Kasirisir, and HSIN-CHUNG WANG. 2024. “TIPD : Taiwan Indigenous Peoples Open Research Data 台灣原住民基礎開放研究資料庫.” OSF https://osf.io/e4rvz/. May 8. doi:10.17605/OSF.IO/E4RVZ.
2. Lin, Ji-Ping. 2024. “TPDD : Taiwan Indigenous Peoples Population Dynamics Open Data 台灣原住民族人口動態開放資料.” OSF https://osf.io/ukjgs/. May 7. doi:10.17605/OSF.IO/UKJGS.
3. Lin, Ji-Ping. 2024. “TMDT: Taiwan Indigenous Peoples’ Multidimensional Table Data 台灣原住民族多維表資料庫.” OSF https://osf.io/a23ec/ . May 7. doi:10.17605/OSF.IO/A23EC.
4. Lin, Ji-Ping. 2024. “TICT: Taiwan Indigenous Peoples’ Contingency Tables 台灣原住民族基礎列聯表.” OSF https://osf.io/9nrwd/. May 7. doi:10.17605/OSF.IO/9NRWD.
5. Lin, Ji-Ping. 2024. “TIHD: Taiwan Indigenous Peoples Household Structure Open Data 台灣原住民族家戶結構基礎開放資料庫.” OSF https://osf.io/zbwek. May 7. doi:10.17605/OSF.IO/ZBWEK.
6. Lin, Ji-Ping. 2024. “TICD : Taiwan Indigenous Communities Open Data 台灣原住民族部落開放資料庫.” OSF https://osf.io/esw67/. May 7. doi:10.17605/OSF.IO/ESW67.
7. Lin, Ji-Ping. 2024. “iqTICD : Integrated Query System of Taiwan Indigenous Community Open Data 台灣原住民族部落開放資料庫綜合查詢系統.” OSF https://osf.io/rfe6p/. May 7. doi:10.17605/OSF.IO/RFE6P.
8. Lin, Ji-Ping. 2024. “TIHV : Taiwan Indigenous People’s High-Resolution Visualization of Population Distribution, Migration Dynamics, Traditional Communities by Ethnic Groups 當代台灣原住民高解析度視覺化圖形資料庫：人口分布、遷徙、傳統部落.” OSF https://osf.io/v8zk3/. May 8. doi:10.17605/OSF.IO/V8ZK3.
9. Lin, Ji-Ping. 2024. “TIMD : Taiwan Indigenous Peoples Migration Dynamics 台灣原住民各族群遷徙動態.” OSF https://osf.io/6rpz9/. May 7. doi:10.17605/OSF.IO/6RPZ9.
10. Lin, Ji-Ping. 2024. “iqTICD on Google: Taiwan Indigenous Communities Open Data Query System on Google 台灣原住民族部落開放資料庫Google綜合查詢系統.” Google https://www.google.com/maps/d/u/0/edit?mid=1M6FE6vKd212udjTvvWmFsaKavB_3TpF7&ll=23.678779780141927%2C120.89717315782033&z=6
11. Migration dynamics of hard-to-reach population in the context of regional inequality: Longitudinal research in Taiwan https://osf.io/bs39t/ Introduction
當代台灣原住民相關資料 Related Projects TIPs on AS:
(1) Joint page on TIPD & TICD open data: https://www.rchss.sinica.edu.tw/capas/pages/1075?cat=80
(2) 台灣原住民基礎開放研究資料庫 TIPD: https://www.rchss.sinica.edu.tw/capas/posts/11206
(3) 台灣原住民族部落開放資料庫 TICD: https://www.rchss.sinica.edu.tw/capas/posts/11205
(4) 台灣原住民族部落開放資料庫綜合查詢系統 Integrated Query System of TICD: https://www.rchss.sinica.edu.tw/capas/posts/11420
(5) 台灣原住民各族群遷徙動態 Migration Dynamics of TIPs: https://www.rchss.sinica.edu.tw/capas/posts/11329
(6) 當代台灣原住民高解析度視覺化圖形資料庫：人口分布、遷徙、傳統部落 High-resolution visualization of TIPs's population distribution, migration dynamics, traditional communities by ethnic groups: https://www.rchss.sinica.edu.tw/capas/posts/11393
(7) TICD查詢網址 TICD query URLs:
(a) TICD on Google: https://TICDonGoogle.RCHSS.sinica.edu.tw
(b) original URL: https://www.google.com/maps/d/u/0/edit?mid=1M6FE6vKd212udjTvvWmFsaKavB_3TpF7&ll=23.792343818784946%2C120.83930934
Introduction:
1 Why the Research and Importance: Taiwan Indigenous Peoples (TIPs) are a branch of Polynesian-Malaysian (or Austronesian) ethnic groups in genetic and linguistic context. Since early 17th Century, TIPs had been playing a crucial role during the Great Marine Times of East Asia trades. There was a rich body of ethnographic, official and academic records on TIPs before 1940. However, the period of 1940-2000 marks as data ”Dark Ages” for TIPs due to 1941-45 Pacific War, 1946-1990 political authoritarian rule in fears of communism and communists infiltration. Persistent lack of TIPs data led TIPs to become isolated, marginalized and thus underdeveloped. Taiwan resumed TIPs population census in 2000 and began recording TIPs individual records in household registration system since 2003. This research program is conducted on the basis of a four-year Joint Research Agreement between Academia Sinica and Council of Indigenous Peoples starting in 2013. One important aim of the research is to construct big anonymous TIPs open research data (or TIPD) based on contemporary census and household registration data sets. TIPD utilizes state-of-the-art data science, record linkage, geocoding, and high-performance in-memory computing technology to construct various dimensions of TIPs demographics & developments. Major outputs of TIPD applications include cross-sectional categorical data, longitudinally constructed population dynamics data, life tables, household statistics, micro genealogy data, intra- & inter-ethnic marriage data, ethnic integration data, ethnic patriarchy and matriarchy identity data, etc. They reflect the progress and efforts of Taiwan academicians struggling to construct various developments of contemporary TIPs. Not only is the research program expected to unveil contemporary TIPs demographics and various developments, but also to help overcome research barriers & unleash social creativity for TIPs studies. They will contribute to shed lights on contemporary population, human dynamics, and developments of TIPs which have been “invisible” to the world for seven decades.
2 Types of TIPD: Major outputs of TIPD which are open to the public amount to 135,000 files in number and around 265 GB in size. TIPD are bilingually documented and its content, context, and volume are growing steadily. TIPD now consist of three categories of open research data: (1) categorical data, (2) household structure and characteristics data, and (3) population dynamics data. Categorical data include four broad dimensions. The first one is contingency tables which are available in PDF, HTML, RTF, XLS formats; the second is multi-dimensional data which are offered in CSV, Excel, dBase, Matlab, Gauss, HTML, JMP, SAS, SPSS, Stata, Access, and R data formats; the third is open data on urban indigenous peoples; the fourth is open data on indigenous traditional tribes/communities. Household structure and characteristics data consist of three broad dimensions of information: (1) household head information, (2) household member composition information, and (3) household geographical information. They are also available in CSV, Excel, dBase, Matlab, Gauss, HTML, JMP, SAS, SPSS, Stata, and R data formats. Population dynamics data consists of three categories: (1) increased population within a given period of time. It can be further dichotomized into two branches of data, population increase due to birth and due to immigration; (2) decreased population within a given period of time. It can also be divided into two branches of data, population decrease due to death and due to emigration; (3) intact population within a given period of time. It can be distinguished into two categories of population: those who make internal migration and those remaining staying-put. For intact population who make internal migration, internal migration processes such as in-, out-, net, gross migrations are analyzable. Every types of population dynamics data are available in CSV, Excel, dBase, Matlab, Gauss, HTML, JMP, SAS, SPSS, Stata, Access, and R data formats. The potential applications for research on TIPs based on TIPD include studies on birth, death, migration, residential mobility, life table, marriage, ageing, education, medical care, labor, family, community, etc. TIPD could be used as background data for survey study, including population analysis, sampling design and sampling planning. TIPD also offers additional open data for specific research purpose, including (1) indigenous tribal data in traditional territories, (2) indigenous communities in urbanized areas, and (3) aggregated population centers at various geographic units.
3. Potential contributions: TIPD reflects the progress and efforts of Taiwan academicians struggling to construct various developments of contemporary TIPs population. The potential applications for research on TIPs based on TIPD include studies on birth process, death process, migration process, residential mobility, life tables, marriage, ageing, education, medical care, labor, family, community, etc. TIPD could be used as background data for survey study, including population analysis, sampling design and sampling planning. Not only does TIPD help unveil contemporary TIPs demographics and various developments, but it also helps overcome research barriers and unleashes creativity for TIPs studies. It will help shed light on contemporary population, human dynamics, and developments of TIPs which have been “invisible” to the world for seven decades. TIPD potential contributions are threefold. First, theoretically based on data science, not only does TIPD overcome legal and ethical issues, but it also democratizes the use of detailed information hidden in modern micro data sets. Thus it is expected to promote research and unleash creativity in the context of TIPs studies and to enhance the visibility of TIPs. Second, TIPD empirically demonstrates that the value-added data enrichment and open data sharing could be accomplished by using less expensive digital infrastructure and open data repository. Third, in addition to general-purpose research, TIPD enables us to conduct very specific researches, such as population dynamics, family life course, life table, ethnic relationship, etc. In short, the potential contributions of TIPD are as follows. First, a contribution of moving from “closed” to “open” in the sense that the research on TIPD helps shed light on contemporary Taiwan Indigenous Peoples and human dynamics which have been “invisible” to the world for seven decades. Second, a contribution of moving from “the elite” to “the ordinary” in the sense that the constructed open data sets reduce tech barriers for researchers interested in indigenous population studies. Third, a contribution of moving from “local” to “global” in the sense that the English version of TIPD is open to the international academic community to promote further value-added data enrichment through international collaboration. Fourth, a contribution of enabling TIPs research from “macro and static” to “micro and dynamic” data by providing, e.g., micro social network data, genealogy, and population dynamics open data.
《當代台灣原住民族：堅毅不屈，燦爛花開》
1940年至2000年間，台灣原住民族資料變的相當稀缺，這不僅使得台灣原住民各類發展被邊緣化，亦使原住民在台灣逐漸”被消失”。2000年戶口及住宅普查再度恢復原住民普查是為重大里程碑，但2010年後台灣實質人口普查已不復存在，陳年問題依舊無解。為解決原住民基礎資料缺乏問題，原住民族委員會自2013 ~ 2022計十年，不預設立場及充份尊重學術專業獨立及自主性，給與研究計畫支持。感謝十年研究期間三位主任委員支持：孫大川(計畫推動者)、林江義、及夷將.拔路兒。計畫實際執行期間，行政支援及協調最大貢獻者，為原民會綜合規劃處王瑞盈前處長，若無他專業支援及豐富行政經驗，本計畫實難以順利進行，研究團隊在這裡公開對王前處長表示衷心感謝。
計畫主持人亦感謝共同主持人李明政教授，兩人十年合作的默契及情誼。這十年期間，原民會在研究經費、資料、計算機硬體設備、及行政給予大力協助，國科會亦給予多年期研究經費支持，使研究團隊終能放手一博，不再受限資料及計算設備匱乏限制。主持人在2013年已深知這是非常難得機會，錯過將不復返，因此這十年期間全心投入，以科學計算技術和資料科學學理，運用高效能及超級運算設備，全力投入原住民基礎研究，建立各類大型開放資料庫，且不設任何限制開放供國內外自由使用(參考TIPD: 台灣原住民基礎開放研究資料庫 https://osf.io/e4rvz/)。
這研究採用的方法及技術非常先進，成果早已受到國際重要學研單位注意。國際著名＂開放科學研究中心＂ (COS， Center for Open Science，參考 https://www.cos.io/ 及簡介 https://www.cos.io/about )，主動連繫及邀請主持人進行視訊專訪，訪談內容是有關當代台灣原住民及原住民基礎開放研究資料庫之研究緣起、過程、方法、影響、未來發展，及過去15年，及研究如何用開放資料、開放科學、及科學計算，使＂瀕臨消失＂被邊緣化的台灣原住民，如何重新浮上抬面及成為顯性人口。COS將訪談內容整理以文字稿公布，閱讀者為全球專家，因此影響深遠，訪問稿原文連結網址如下：https://www.cos.io/blog/taiwan-indigenous-peoples?hs_preview=QUOrJLoo-176808682520
COS設計及完成之＂開放科學架構＂(OSF， Open Science Framework， 參考 https://osf.io/ )，目前是全球研究計畫最大註冊中心，超過60萬全球研究人員在此登記註冊。放在OSF的TIPD就是COS最重要架構，目前已是全球最大開放科學及研究計晝註冊單位，影響力相當大。2013計晝剛開始時，COS也才剛成立，OSF架構亦在草創階段，2015年初我決定將都原計晝重要產出TIPD放在OSF時，當時全球也才只有五百多個研究計晝放在OSF公開；主持人在OSF草創階段，以TIPD放在OSF之經驗，至少有四年時間主持人亦同時幫OSF提出架構如何改善及建議，和OSF合作密切，所以他們也深知原民會支持之研究計晝和TIPD研究通程，TIPD和OSF可謂是同步成長。
十年尚難磨一劍，完成基礎研究及克服核心問題後，真正重頭戲才要開始。很榮幸及欣慰能再次將台灣原住民，全面推向國際舞台！
研究計畫簡介:
一、研究緣起及重要性：台灣原住民族屬南島民族，不僅社會及文化多元，族群及語言多樣，自大航海時代以降，亦在東亞經貿扮演要角，歷史文獻眾多。近代以科學及系統化方式記錄台灣原住民族基礎資料始自日治時期，包括人口普查、户籍登錄及調查，但至太平洋戰爭爆發而終止。1940年代初始至公元2000年，係台灣原住民族基礎資料付諸厥如之「黑暗時代」。主要原因包括日治後期太平洋戰爭、戰後治權移轉及治理混亂、國共內戰保安思維延續及擴大至原鄉、和強調單元文化主義。戰後原住民族基礎資料之缺乏，導致原住民族學術研究及各類政策規劃和設計無所依據，難以科學方法進行系統化研究；該情況亦導致原住民族陷入更加孤立與隔絕，使原住民族各類發展難以和現代化過程銜接。基礎資料長期之缺漏，原住民族終將變成過去歷史記憶，並失去現代性及未來發展性。解嚴後及1990年代，眾多先進努力下，公元2000年户口及住宅普查恢復蒐集原住民族基本資料，是為近代原住民族基礎資料之重大里程碑。爾後原住民身分法公布，戶政系統開始加註原住民族戶籍登錄資料，歷經十多年之精進，公元2010年後原住民族公務登記資料之內容和品質已日趨完備。台灣原住民族是台灣過去發展長期被忽略及忽視的主角，今日之記錄必成明日之史料，未來之發展無法脫離過去之軌跡。本研究計畫目的之一是以原住民族現代公務登記資料為基礎，以保障隱私、合乎法律規定、及倫理規範為前提，定期保存原住民族現代公務登錄資料，並運用現代科技及先進計算技術，以科學方法系統化及自動化方式，進行基礎資料加值和基礎統計量運算。研究亦以開放之精神，成果將公開供國內外產官學專家参考及運用，期許有助彌補過去原住民族基礎資料缺失之憾，對目前及未來原住民族基礎資料保存和運用，及促進多元文化發展和各族群相互理解，略盡棉薄之力。
二、資料種類及內容：TIPD目前計約135,000個及共約265GB開放學術研究資料檔，以中文及英文描述，研究資料內容、種類、及規模將持續增加之中。目前主要開放研究資料類型包括：(1)類別資料(或稱離散資料)，(2)家戶結構資料，(3)人口動態資料等三大類型。類別資料再分成兩大類：(a)列聯表(或所謂交叉表)，含PDF、HTML、RTF、XLS四個基本格式；(b)多維表，含CSV、Excel、dBase、Matlab、Gauss、HTML、JMP、SAS、SPSS、Stata、Access、R等格式；(3) 都市原住民開放資料；(4) 傳統部落/社區開放資料。家戶結構資料包括三個基本面向：(1)戶長基本資訊、(2)家戶成員組成資訊、(3)家戶環境變數資訊，亦以CSV、Excel、dBase、Matlab、Gauss、HTML、JMP、SAS、SPSS、Stata、Access、R等格式呈現；人口動態資料分成三大類：(1)兩時點間”增加人口”，可區隔”出生”及”跨國移入”因素、(2)兩時點間”減少人口”，亦可區隔”死亡”及”跨國移出”因素、(3)兩時點間”持續存活人口”，可區隔”沒做內部遷徒(stay-put)”及”有做內部遷徒”因素，內部遷徙亦可分析”移入”及”移出”等要素，人口動態資料亦以多維表資料呈現，含CSV、Excel、dBase、Matlab、Gauss、HTML、JMP、SAS、SPSS、Stata、Access、R等格式。TIPD開放研究資料庫可當質性或量化研究之專業或背景資料，主要潛在應用領域包括出生、死亡、人口遷徙、家戶流動、生命表、婚配、老化、教育、醫療、照護、勞動、家庭、社區，亦可做為母體分析、抽樣設計及抽樣規劃等參考依據。TIPD亦提供特定用途的開放研究資料，包括(1) 都市原住民開放研究資料、(2) 傳統部落及社區基礎資料、(3)各類人口重心資訊（包括區域、縣市、鄉鎮市區、村里、都會區、部落）
三、潛在貢獻：如下(1).幫助學術研究及民間部門克服資料取得之障礙及促進研究效率，並間接促進當代原住民研究：當代原住民研究最大障礙之一是缺乏大規模及系統性之基礎資料，本資料庫預期能幫助學術及研究部門克服基礎研究資料取得之障礙，大幅減少學術及行政部門間資料索取及處理之行政成本，由於開放資料庫亦包含各類資料格式，可供學術研究者直接進行資料分析，故預期可促進學術研究效率及產出，促進現代原住民學術研究，例如自104年11月全面開放本資料庫供各界下載使用後，許多以前難以進行之基礎研究目前得以進行，由長期角度來看，本資料庫幫助學術及研究部門克服基礎研究資料取得之障礙後，預期能有助未來累積大量的研究成果，並回饋原住民政策規劃及設計。(2).大幅減少未來提供及管理基礎資料之行政成本，及促進政策設計及規劃效率：本資料庫之建構學理基礎係奠基於資料科學，以自動化方式系統性產生合乎法律及倫理規範之開放資料庫。該開放資料庫可做為中央及地方各級政府政策規劃及決策之背景資料，能有效大幅減少各部門間資料索取公文往返行政成本、並直接運用在輔助政策規劃及決策，故預期能大幅減少行政成本及促進政策設計及規劃效率。(3).已完成特定議題之專業資料庫，使得特定專業議題之研究及政策規劃設計可以進行，包括人口變遷、家庭、都市原住民、出生、死亡、遷徙、婚配、生命表、教育、社區、族群關係等專業特定議題。
PI's Notes:
* PI's note, 16 May 2025: a research paper entitled "Migration dynamics of hard-to-reach population in the context of regional disparities based on longitudinally linked register in Taiwan" is published by Springer Nature Scocial Sciences. It is available at https://doi.org/10.1007/s43545-025-01049-1 or https://link.springer.com/article/10.1007/s43545-025-01049-1. Paper's PDF download URL : https://link.springer.com/content/pdf/10.1007/s43545-025-01049-1.pdf
* PI's note, 14 June 2024: TIPD archives have been upgraded to Version 5.0. For details & download, go seeing on "Files" of this page.
* PI's note, 14 June 2024: TIPD has been updated & extended. It's also fully reorganized, with repository structure being the same as those on Dropbox & Google Drive. For details, see OSF's "Files".
* PI's note, 9 February 2023: Abridged version of TIPD has been updated & extended. It's also fully reorganized, with repository structure being the same as those on Dropbox & Google Drive. For details, see OSF's "Files".
* PI's note, 8 February 2023: TICD introductory page & its query system are available from CAPAS of RCHSS, Academia at https://www.rchss.sinica.edu.tw/capas/posts/11205.
* PI's note, 8 February 2023: TIPD introductory page is available from CAPAS of RCHSS, Academia at https://www.rchss.sinica.edu.tw/capas/posts/11206.
* PI's note, 8 February 2023: A few minor bugs have been reported by TIPS users. The PI plans to rebuild all TIPD datasets from 2007 to 2022 in March. Newly rebuilt TIPD will be available on OSF in May.
* PI's note, 8 February 2023: TIPD datasets in the second half of 2022 have been built and uploaded to OSF; for details, go downloading from three data repositories (OSF, Dropbox, Google Drive) at OSF's "Files" page.
* PI's note, 3 November 2022: TICD query system has been redesigned in late October 2022. For details, go seeing at TICD on Google: https://TICDonGoogle.RCHSS.sinica.edu.tw or its origianl URL: https://www.google.com/maps/d/u/0/edit?mid=1M6FE6vKd212udjTvvWmFsaKavB_3TpF7&ll=23.792343818784946%2C120.8393093409914&z=9
* PI's note, 3 November 2022: TICD is available on OSF in early October 2022. It can be accessed via TICD on OSF at https://osf.io/esw67/ or via AS at https://TICD.RCHSS.sinica.edu.tw
* PI's note, 3 November 2022: A concise version of TIPD has been built & uploaded to OSF in early October 2022. For details, see Files on OSF.
* PI's note, 3 November 2022: TIPs household open datasets are rebuilt and available in TIPD in early October 2022.
* PI's note, 3 November 2022: The data repository structure of TIPD has been fully regruoped in late September 2022. For details, see Files on OSF.
* PI's note, 3 November 2022: TIPD datasets of the first half of 2022 (2022/01~2022/06) are available in early September 2022 on both add-on repositories of Dropbox and Google Drive. For details, go seeing Files on OSF.
* PI's note, 24 January 2022: a paper entitled "Computational Archives of Population Dynamics and Migration Networks as a Gateway to Get Deep Insights into Hard-toreach Populations: Research on Taiwan Indigenous Peoples" by the PI is added to TIPD for reference, addresseing research advancement of TIPD from 2018 to 2021. It was presented in 2021 IEEE International Big Data Conference and is published by the IEEE Computer Society Press. For details, see "1_Introduction_Reference簡介及參考文獻".
* PI's note, 24 January 2022: open datasets of all Taiwan indigenous communities are available in PDF format. They are organized by ethnic groups and administrative areas. For details, see "10_TICD_TaiwanIndigenousCommunityData原住民族部落基礎資料" in TIPD repository.
* PI's note, 24 January 2022: the latest TICD(Taiwan Indigenous Community Data) has been added to TIPD for public download now!
* PI's note, 24 January 2022: the directory structure of TIPD repository has been fully reorganized, maiking TIPD more accessible.
* PI's note, 24 January 2022: the open datasets from June 2021 to Decenber 2021 have been added to TIPD reposositories.
* PI's note, 7 Septemper 2021: the full URL of interactive query system of TIPs traditional communities is as follows: https://www.google.com/maps/d/viewer?mid=1M6FE6vKd212udjTvvWmFsaKavB_3TpF7&ll=23.75950967715334%2C120.96309112657038&z=8
* PI's note, 7 Septemper 2021: an interactive query system of TIPs traditional communities based on Google Map is available. Its shortcut is "English_Shortcut for Fundamental Databank of TIPs Communities" in folder "8_FundamentalDataOnTIPsCommunities原住民族部落基礎資料".
* PI's note, 7 Septemper 2021: some dataviz images are added to "2_DataVisualization資料視覺化" for the referece of interested persons.
* PI's note, 7 Septemper 2021: a fully new data set on contemporary TIPs traditional communities is available at "8_FundamentalDataOnTIPsCommunities原住民族部落基礎資料".
* PI's note, 7 Septemper 2021: datasets of TIPD have been extended to June 2021, except for data sets in "7_HouseholdStructureData家戶結構資料".
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.... (scroll down to the bottom to see earlier PI's notes)
計畫主持人計畫進展通告:
* 2025年5月16日：a research paper entitled "Migration dynamics of hard-to-reach population in the context of regional disparities based on longitudinally linked register in Taiwan" is published by Springer Nature Scocial Sciences. It is available at https://doi.org/10.1007/s43545-025-01049-1 or https://link.springer.com/article/10.1007/s43545-025-01049-1. Paper's PDF download URL : https://link.springer.com/content/pdf/10.1007/s43545-025-01049-1.pdf
* 2024年6月16日：TIPD archives have been upgraded to Version 5.0. For details & download, go seeing on "Files" of this page.
* 2024年6月16日
BITSS 2017 Research Transparency and Reproducibility Training (RT2) - Berkeley
No full textMaterials for BITSS Research Transparency and Reproducibility Training (RT2) - Berkeley June 7-9, 2017