Research Data Management Librarian Academy:研究數據管理圖書館員學院

An Opportunity to Develop Skills and Knowledge from PeersJean P. ShipmanVP, Global Library Relations, ElsevierApril 17, 2019

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Who Am I?

➢ VP, Global Library Relations, Elsevier Elsevier 全球圖書館關係副總裁

➢ University of Utah – Emerita Librarian; Executive director, Knowledge Management; Health

Sciences Library executive director

猶他大學 Emerita 館長 Librarian; 知識管理執行長、 健康科學圖書館執行長

➢ Director, MCR RML & NLM National Training Office MCR RML和NLM NTO 訓練辦公室主任

➢ Center for Medical Innovation, Director for Information Transfer 醫學創新中心、資訊傳遞主任

➢ President, US Medical Library Association, 2006-2007

2006-7 美國醫學圖書館協會主席

➢ Worked in 5 different academic institutions; 1 hospital; 2 NNLM offices 曾在5個不同的學術機構、1家醫院、2個NNLM辦事處任職

➢ Opened 3 consumer health libraries 創辦了3個消費者健康圖書館

➢ Board of Directors, Society for Scholarly Publishing 學術出版協會董事長

➢ Co-chair, Chicago Collaborative 芝加哥聯盟共同主席

Is there a need for an RDM Librarian Academy? 是否需要研究數據管理圖書管理員學院？

• A question explored via a needs assessment and a training inventory透過需求評估和培訓清單來探討一個問題

Why Librarians? …Why Not?

Librarians:- Have transferable organizing skills and interests 具有可移轉的組織技能和興趣

- Partner with researchers 與研究人員合作

- Often monitor compliance and impact 經常監控法規性和影響力

- Changing traditional roles 改變傳統角色

- Are trainers of RDM FAIR(findable, accessible, interoperable, and reusable ) principles可擔任研究數據管理 FAIR(可查找、容易使用、互通性、可重複使用) 原則的講師

RDM Librarian Academy Partnerships研究數據管理圖書管理員學院合作夥伴

Dr. Elaine Martin

Jean P. Shipman

Phase 1: Needs Assessment and Training Inventory第一階段: 需求評估和訓練

https://rdmla.github.io/home/

Completed over the summer and early fall of 2018 在2018年夏季和初秋完成

Featured:• a needs assessment survey via Library Connect

透過 Library Connect 進行需求評估調查• a competency scan and an inventory of

training and formal RDM curricula 能力檢定、教育訓練安排、正式的 RDM 課程規劃

• a LIS educator short survey LIS 教育家簡短調查

問卷調查

Phase II: Content Development and Delivery第二階段：內容開發和執行

Develop the RDMLA curriculum via teams of librarian experts 通過圖書館專家團隊開發RDMLA課程

Establish contractual relationships with partner institutions 與合作機構建立契約關係

With Simmons University, establish mechanism for: 與西蒙斯大學合作，建立機制：

•online delivery 線上運作•offering CE credits and a certification of completion 提供進修課程學分和課程結業證書

RDMLA will be launched autumn 2019 RDMLA 將於2019年秋季推出

RDM Librarian Academy Description RDM圖書館員學院介紹• Available online 線上課程• English-language 英文教學• No charge (without credit) 免費(無課程學分)

• Simmons University offering CE credit for a fee; certification 西蒙斯大學提供付費的進修學習課程和結業證書

• 7 units; 45 mins. Each 每堂課 8個單元; 每單元30分鐘• Curriculum developed by librarian peers with expertise in RDM

課程由具有 RDM 專業知識的圖書館同仁所開發

• Easy way to refine and hone RDM skills and knowledge 輕鬆改進和磨練RDM技能和知識的方法

RDM Librarian Academy Units RDM圖書館員學院單位

1. Foundations of Research Data Management (RDM) 研究數據管理（RDM）的基礎

2. Navigating research data culture 瀏覽研究數據文化3. Advocating and marketing the value of RDM in libraries 在圖書館中倡

導和推廣RDM的價值4. Launching data services in libraries 啟動圖書館數據服務5. Project management (as relates to RDM services) 專案管理（與RDM服

務有關）6. Overview of common tools (programming and tools, R) 常用工具概述（編程和工具，R 程式語言）

7. Overview of platform tools (OSF, Mendeley Data et. al.) 平台工具概述（OSF，Mendeley Data 等）

Online Units

How Do I Find Out More About the RDMLA?如何了解有關RDMLA的更多資訊？

• Library Connect article Library Connect 文章https://bit.ly/2r1YHFi

• RDMLA GitHub website RDMLA GitHub 網頁https://rdmla.github.io/home/

• Contact the RDMLA partners 聯絡 RDMLA 合作夥伴

• Conference presentations and posters 會議簡報和海報

• Email: j.shipman@elsevier.com

Why Elsevier Partnership?為何選擇Elsevier合作夥伴？

• Want librarians and researchers to be successful 希望圖書館員和研究人員取得成功

• Charter partner with FAIR initiatives, e.g., Force 11, Scholix, Chorus, etc.合作參與FAIR計劃，例如 Force 11，Scholix，Chorus等。

• Wants research to be reusable and reliable 希望研究具有可重用性和可靠性

• Supports research information systems; Mendeley Data tool suite支持研究資訊系統; Mendeley數據工具套件

• Scopus Certification Scopus 認證

GSN Mission and Purpose

Members of the Global Strategic Networks team build relationships with research leaders around the globe, broadening influence and building trust to improve research performance and to develop a positive business environment

We do this by engaging closely with and understanding leaders at leading research institutions around the globe, giving voice to their needs and concerns within Elsevier, and helping the business develop and deliver impactful solutions and flexible policy frameworks to meet their needs.

四個原則

資訊系統支持研究

Why the RDMLA?為什麼需要研究數據管理圖書館員學院

Mendeley Data

Find Topic

Identify Gaps

Plan & Fund

Design

Project DataResearch lifecycle

Discover data, people,

methods & protocols

Prepare, reproduce,

re-use & benchmark

Collect, analyze

& visualize

Execute

Store & Share

Disseminate

Publish

Data publicly available in

institutional resources

Data publicly available

outside an institutionPreserve

Benchmark Rank & evaluate Manage

Unlocking the full potential of research data to enhance the researcher lifecycle

開啟研究數據的全部潛力，以加強研究人員的生命週期

Open data

Metrics on data

Open data

Research lifecycle

Data

Search

Data

Repository

Data Notebook

Data Manager

Data Search Data Repository

Data Monitor

A modular, cloud-based platform designed for research institutions,

to manage the entire lifecycle of research data基於雲端的模塊化平台，專為研究機構設計，管理研究數據的整個生命週期

Mendeley Data

Metrics on data

Project Data

Mendeley Data Search enables researchers to

discover data:

Mendeley Data Search使研究人員能夠發掘數據：• 10M+ datasets from 30+ indexed repositories - and growing

(ambition is 100+) 來自30多個索引儲存庫的10M +數據集 - 並且正在增長（目標是100+）

• Keyword search within data files 數據檔案中的關鍵字搜尋

• In-line file previews 內嵌檔案預覽

• Filter search results by specific author, institution, journal,

subject category 按特定作者、機構、期刊、主題類別篩選搜尋結果

And retrieve active data: 並搜尋活躍數據：• Researchers can navigate your institution’s locally held data

研究人員可以瀏覽您所在機構的本地數據

• Project collaborators can retrieve project data through

powerful keyword search and filtering 專案合作者可以透過強大的關鍵字搜尋和過濾來專案數據

Unlike other search solutions, Data Search: 資料搜尋與其他搜尋解決方案不同：

• Deeply indexes data (not just metadata), making it easier and

faster to find relevant data 深入索引數據（不僅是元數據），使查找相關數據變得更加容易和快捷

• Allows researchers to preview data, making it easier and faster

to find relevant data 允許研究人員預覽數據，使查找相關數據變得更加容易和快捷

Data Search powers all modules

Retrieve active data, discover public data

檢索活躍數據，發掘公開數據

data.mendeley.com

Data RepositoryStore results in a trusted data repository 將結果存儲在可靠的數據儲存庫中

Store up to 100 GB of data per dataset

in many formats

每個數據集以多種格式儲存至多100 GB

Describe how experiment

can be reproduced

描述實驗如何複製

Long-term storage

長期儲存庫

Link back to protocols

連回協議

Create DOI

for Citation

(or university prefix)

建立引用 DOI

Keep track of

versions of dataset

追蹤資料及版本

On your S3

Or on DANS

On your (local) S3 or on Elsevier cloud

在您的（本地）S3或Elsevier 雲端

Metadata: 元數據Dublin Core and Google Science Datasets markup

Open licences & indexed in OpenAire

開放許可證與在OpenAire 編入索引

With Mendeley Data Manager,

researchers can: 透過 Mendeley

資料管理者，研究人員可以：

• Share data privately in your research group, or

project 分享資料

• Also works for collaborators outside the

institution (they can take part in projects but not

start new projects) 和機構外研究者合作

• Gather research data from all your data sources

as it’s generated, including ELNs, instruments

etc 收集研究資料

• Annotate research data with detailed, subject-

specific metadata (helped by automated

annotation tools) 註解資料

• Curate data according to project or institutional

workflows 策劃資料

• Prepare to publish data on your repository of

choice 發佈資料

• Open APIs allow: tailored upload forms,

automated workflows, and workflows to

download, analyse and re-upload data files

開放使用 APIManager helps researchers move from raw files to datasets

Mendeley資料管理者幫助研究人員從原始檔案移轉到資料集

Data ManagerActive research data collaboration and workflow tool, which enables

research groups to gather/organize, annotate and share data all in one

place.

積極的研究數據協作和工作流程工具，使研究小組能夠集中在一個地方收集/

組織，註釋和共享資料。

Thank You!

Questions?