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

Donald Tomaskovic-Devey M.V. Lee Badgett Fidan Kurtulus马萨诸塞大学阿默斯特分校该项目将完成两个任务。首先是创建一个跨学科的社会科学网络，以推进就业动态的组织层面分析。二是建立永久性数据归档机制，并对数据产品、元数据和机密源数据进行广泛的科学访问。总体目标是为未来几代科学家、政策制定者提供大规模的数据容量和获取途径，并为公民和雇主提供信息溢出效应。跨越社会科学的研究网络将合作开发和科学地使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小组数据。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。预计该网络将导致在方法和数据质量问题、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的研究人员的新机会方面的合作。该研究网络还将创建一个元数据存储库，以减少研究人员进入的障碍，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。对数据不熟悉的研究人员通常会发明（或重新发明）数据管理、测量和采样协议。因此，复制是罕见的，研究项目是个人的，而不是集体的。该项目将创建一个虚拟元数据存储库，以确保目前已发表的工作和非机密数据产品广泛传播给科学界。该项目还将制定计划，建立一个永久的数据档案和研究门户，以保存和扩大这些科学协同效应。网络和虚拟元数据存储库将在目前孤立的研究社区之间产生新的连接，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进行研究的核心贡献是进一步了解性别、种族、民族、宗教、年龄、残疾和性取向的就业整合和歧视。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提高公众和政策制定者对社会和组织过程的理解，这些过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.