BCC - Building an Interdisciplinary Equal Employment Opportunity Research Network and Data Capacity

SMA- 1338423唐纳德·托马斯科维奇-德维M. V.李·巴吉特·菲丹·库尔图卢斯马萨诸塞州阿默斯特大学这个项目将完成两项任务。第一个是建立一个跨学科的社会科学网络，以推动组织一级的就业动态分析。第二个目标是建立一个机制，用于永久数据存档和广泛的科学访问数据产品、元数据和机密源数据。总体目标是为未来的科学家、政策制定者提供大规模的数据容量和访问权限，并向公民和雇主提供信息溢出。横跨社会科学的研究网络将合作开发和科学利用美国平等就业机会委员会（EEOC）收集的数据。自1966年以来，平等就业机会委员会一直在从私营部门的工作场所、工会、州和地方政府以及中小学收集有关就业模式的面板数据。总的来说，这些代表了世界上最大和最长的组织面板数据集，是组织就业动态科学和政策研究的非凡数据来源。 该网络预计将导致在方法和数据质量问题上的合作，对就业分布和歧视的新研究，组织人口动态，以及多个科学领域研究人员的新机会。 该研究网络还将创建一个元数据储存库，以减少研究人员的进入障碍，并以创造性的方式开放数据的使用。目前，数据访问限制限制了科学家之间合作研究网络的形成。新的数据研究人员通常发明（或重新发明）数据管理，测量和采样协议。因此，复制是罕见的，研究计划是个人而不是集体。该项目将建立一个虚拟元数据储存库，以确保向科学界广泛传播目前已发表的工作和非机密数据产品。 该项目还将制定建立永久数据档案和研究门户网站的计划，以保护和扩大这些科学协同作用。网络和虚拟元数据库将在目前孤立的研究社区之间建立新的联系，并将数据连接到全新的科学研究领域。更广泛的影响：使用平等就业机会委员会数据的研究的核心贡献是进一步了解性别，种族，民族，宗教，年龄，残疾和性取向就业融合和歧视。这将通过鼓励科学探索和使科学界和公众更容易获得数据来实现。该项目最广泛的影响将是加强公众和决策者对社会和组织进程的理解，这些进程导致工作场所多样化，减少歧视和不平等。

SMA- 1338423 Donald Tomaskovic-Devey M.V. Lee Badgett Fidan Kurtulus University of Massachusetts AmherstThis project will accomplish two tasks. The first is to create an interdisciplinary social science network to advance organizational-level analyses of employment dynamics. The second is to create a mechanism for permanent data archiving and broad scientific access to data products, metadata and confidential source data. The overall goal is to provide large scale data capacity and access to future generations of scientists, policy makers, with information spillovers to citizens and employers.The research network spanning the social sciences will collaborate in the development and scientific use of data collected by the U.S. Equal Employment Opportunity Commission (EEOC). Since 1966 the EEOC has been collecting panel data on employment patterns from private sector workplaces, unions, state and local governments, and elementary and secondary schools. Collectively these represent the largest and longest collection of organizational panel datasets in the world and are an extraordinary source of data for scientific and policy studies of organizational employment dynamics. The network is expected to result in collaborations on methodological and data quality issues, new research on employment distributions and discrimination, organizational population dynamics, and new opportunities for researchers in multiple scientific areas. The research network will also create a metadata repository to reduce the barriers to entry for researchers, as well as to open up the use of data in creative ways. Currently, data access restrictions limit the formation of collaborative research networks among scientists. Researchers new to the data typically invent (or reinvent) data management, measurement, and sampling protocols. As a result replication is rare and research programs are individual rather than collective. The project will create a virtual metadata repository to insure that current published work and non-confidential data products are broadly disseminated to the scientific community. The project will also develop plans for the creation of a permanent data archive and research portal to preserve and magnify these scientific synergies. Together the network and virtual metadata repository will generate new connections across currently siloed research communities and will connect the data to entirely new areas of scientific research. Broader Impact: The core contribution of research using the EEOC data is to further our understanding of gender, racial, ethnic, religious, age, disability and sexual orientation employment integration and discrimination. This will be accomplished by encouraging scientific exploration and making data more accessible to both the scientific community and to the public. The broadest impact of the project will be to enhance the public's and policymakers' understanding of the societal and organization processes which lead to diverse workplaces and reductions in discrimination and inequality.