Museum Data Files

The Museum Data Files (MDF) updated in 2018 are a set of three files, based on museum discipline.<br>Purpose: The files provide information about museums and related organizations in the United States.<br>Coverage: The frame is restricted to establishments in the 50 states and the District of Columbia.<br>Content: Data includes information about museum location (including geocode data), museum discipline, North American Industry Classification System (NAICS) and National Taxonomy of Exempt Entities codes, DUNS, EIN, Regional classifications (American Alliance of Museums and the Bureau of Economic Analysis categorization schemes) and IRS 990 revenue information. For more information, see the Data File Documentation and Users Guide (PDF 581KB).<br>Frequency: Previous files were posted under the name "Museum Universe Data File (MUDF)" in FY 2014 Q1, FY 2015 Q1 and FY 2015 Q3. IMLS has no plans to update the museum files. Other researchers, such as those working on the IMLS-funded study titled Understanding the Social Wellbeing Impacts of the Nation's Libraries and Museums are working with the data in the three museum files and will share their findings as these are available. <br>Methods: File entries were compiled from multiple sources, including IMLS administrative data and records, Internal Revenue Service (IRS) nonprofit data (e.g., 990, 990-EZ, 990-N), lists of grantees from private foundations, museum associations, and data obtained from third party commercial vendors. As with any compilation of data from multiple original source lists, file entries were de-duplicated to the extent feasible using a combination of statistical algorithms and manual entry review. Additionally, file entries were subjected to review to update and verify data elements, identify duplication not captured algorithmically, and identify entries that were not eligible for inclusion. These methods are more fully described in the Data File Documentation and User's Guide (PDF 581KB).<br>Use: These files are useful to researchers, journalists, the public, local practitioners, and policymakers at the federal, state, and local levels for planning, evaluation, and policy making.2018年更新的博物馆数据文件（Museum Data Files，MDF）是一套基于博物馆学科分类的三份数据集。 用途：本数据集旨在提供美国境内博物馆及相关机构的详细信息。 覆盖范围：数据集限定收录美国50个州及哥伦比亚特区内的相关机构。 内容：数据涵盖博物馆地理位置信息（含地理编码数据）、博物馆学科分类、北美行业分类系统（North American Industry Classification System，NAICS）与全国免税实体分类法（National Taxonomy of Exempt Entities）代码、邓氏编码（DUNS）、雇主识别号（EIN）、区域分类（美国博物馆联盟与美国经济分析局的分类体系）以及美国国税局（Internal Revenue Service，IRS）990表单收入信息。如需获取更多详情，请参阅《数据文件文档与用户指南》（PDF，581KB）。 更新频率：此前的数据集曾以“博物馆全域数据文件（Museum Universe Data File，MUDF）”之名，分别于2014财年第一季度、2015财年第一季度及2015财年第三季度发布。美国博物馆与图书馆服务协会（Institute of Museum and Library Services，IMLS）暂无更新该博物馆数据集的计划。其他研究者——例如参与由IMLS资助的题为《探究全国图书馆与博物馆的社会福祉影响》的研究项目人员——正在使用这三份博物馆数据集，并将在研究成果就绪后对外分享。 编制方法：本数据集的文件条目整合自多类数据源，包括IMLS的行政数据与档案记录、IRS的非营利组织数据（如990、990-EZ、990-N表单）、私人基金会的受助者名单、博物馆协会名录，以及从第三方商业供应商处获取的数据集。与所有从多份原始源列表整合而成的数据集合一样，本数据集通过统计算法与人工审核相结合的方式，在可行范围内对文件条目进行了去重处理。此外，工作人员还对文件条目开展了专项审核，以更新和验证数据元素、识别算法未捕捉到的重复条目，并排查不符合收录资格的条目。上述编制方法的详细说明可参见《数据文件文档与用户指南》（PDF，581KB）。 使用场景：本数据集可用于研究人员、记者、公众、本地从业者以及联邦、州和地方层面的政策制定者开展规划、评估与政策制定等工作。