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    推荐 《ARL Monitor》2025年春季刊发布(图)  2025/4/28  王新月 编译  北京雷速科技有限公司  

    当地时间2025年4月23日,北美研究型图书馆协会(Association of Research Libraries,ARL)发布了《ARL Monitor》的2025年春季刊,详情如下。[详细内容]
    《ARL Monitor》 2025年 春季刊
    http://www.chinalibs.net/ArticleInfo.aspx?id=596238&cb=qinyue

    Natalie Meyers(图)  2025/1/29  Natalie Meyers    

    Natalie Meyers, professor of the practice in the Lucy Family Institute for Data & Society at the University of Notre Dam…[详细内容]
    Natalie Meyers ARL/CNI AI Researcher in Residence
    http://www.chinalibs.net/ArticleInfo.aspx?id=591029&cb=zhangxinyu

    Natalie Meyers Appointed ARL/CNI AI Researcher in Residence(…  2025/1/29  Andrew K. Pace Clifford A. Lynch  ARL  

    Natalie Meyers, professor of the practice in the Lucy Family Institute for Data & Society at the University of Notre Dam…[详细内容]
    Natalie Meyers ARL/CNI AI Researcher in Residence
    http://www.chinalibs.net/ArticleInfo.aspx?id=591026&cb=zhangxinyu

    ARL Comments on Social Security Administration’s Plan for In…  2024/6/12  ARL  ARL  

    On May 13, 2024, the Social Security Administration (SSA) released a request for information for the “Plan for Increasin…[详细内容]
    ARL Comments Security
    http://www.chinalibs.net/ArticleInfo.aspx?id=570769&cb=qinyue

    ARL Comments on Plan to Increase Public Access to USDA-Funde…  2023/11/30  ALA  ARL  

    On September 27, 2023, and October 10, 2023, the US Department of Agriculture (USDA) held stakeholder listening sessions…[详细内容]
    ARL Comments Research
    http://www.chinalibs.net/ArticleInfo.aspx?id=566824&cb=qinyue

    ARL Comments on Plan to Increase Public Access to USDA—Funde…  2023/11/30  ARL  ARL  

    On September 27, 2023, and October 10, 2023, the US Department of Agriculture (USDA) held stakeholder listening sessions…[详细内容]
    ARL Comments Research
    http://www.chinalibs.net/ArticleInfo.aspx?id=570781&cb=qinyue

    ARL Comments on AHRQ Plan for Updating the Policy for Public…  2023/5/31  ARL  ARL  

    On April 19, 2023, the Agency for Healthcare Research and Quality (AHRQ), US National Institutes of Health (NIH), releas…[详细内容]
    ARL Comments Publications
    http://www.chinalibs.net/ArticleInfo.aspx?id=566996&cb=qinyue

    ARL Comments on AHRQ Plan for Updating the Policy for Public…  2023/5/31  Mary Lee Kennedy  ARL  

    On April 19, 2023, the Agency for Healthcare Research and Quality (AHRQ), US National Institutes of Health (NIH), releas…[详细内容]
    ARL AHRQ Plan Public Scientific Data
    http://www.chinalibs.net/ArticleInfo.aspx?id=538806&cb=zhangxinyu

    ARL Comments on Increasing Public Access to Results of USDOT…  2023/5/22  ARL  ARL  

    On March 28, 2023, the US Department of Transportation (DOT) released a request for information on “Increasing Public Ac…[详细内容]
    ARL Transportation Research
    http://www.chinalibs.net/ArticleInfo.aspx?id=567011&cb=qinyue

    ARL Comments on Draft Genomic Data Management and Sharing Po…  2022/3/9  ARL  ARL  

    On November 30,2021,the US National Institutes of Health(NIH)issued a“Request for Information on Proposed Updates and Lo…[详细内容]
    ARL Management Comments
    http://www.chinalibs.net/ArticleInfo.aspx?id=567357&cb=qinyue

    Library and Higher Education Groups Release Communication To…  2021/1/27  ARL  ARL  

    The Association of Research Libraries(ARL),California Digital Library(CDL),Association of American Universities(AAU),and…[详细内容]
    ARL Release Communication
    http://www.chinalibs.net/ArticleInfo.aspx?id=567521&cb=qinyue

    New Report Provides Recommendations for Effective Data Pract…  2020/9/25  ARL  ARL  

    Today a group of research library and higher education leadership associations released Implementing Effective Data Prac…[详细内容]
    ARL Report Provides
    http://www.chinalibs.net/ArticleInfo.aspx?id=567658&cb=qinyue

    New Report Provides Recommendations for Effective Data Pract…  2020/9/25  Jessica Aiwuyor    

    Today a group of research library and higher education leadership associations released Implementing Effective Data Prac…[详细内容]
    New Report Recommendations Effective Data Practices National Science Foundation Research Enterprise
    http://www.chinalibs.net/ArticleInfo.aspx?id=490184&cb=liushijing2014

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