Stanford data management e. What is Stanford’s Data Governance Program? Since 2011 the Stanford Data Governance Program has supported analysis and decision-making across our decentralized organization. Stanford’s Data Governance Program Service Model: Production of the Data Tables in TGDS is a collaborative approach – the TGDS Manager will work with the PD/PI and training grant administrator/SSO/etc. , findable, understandable, and well documented) Jul 7, 2023 · A data management plan (DMP) or data management and sharing plan (DMSP) is a written document that describes: the data you expect to acquire or generate during the course of a research project, how you will manage, describe, analyze, and store those data, and; what mechanisms you will use at the end of your project to share and preserve your data. Stanford University Libraries offer Data Management Services to assist Stanford's researchers with the organization, management, and curation of research data, including: Understanding and creating data management plans. Managing and Sharing Data Data management and sharing are iterative processes that occur throughout the course of a given research project. Leonore Herzenberg's lab at Stanford University have developed a portfolio of data management, storage, and analysis technologies that may be used for large data sets. The DARC team engages directly with faculty members, preparing large-scale datasets, assisting with data analysis, and consulting on research design. Oversee data management for research projects. Researchers in Dr. Stanford is an equal Jul 7, 2023 · A data management plan (DMP) or data management and sharing plan (DMSP) is a written document that describes: the data you expect to acquire or generate during the course of a research project, how you will manage, describe, analyze, and store those data, and; what mechanisms you will use at the end of your project to share and preserve your data. We offer skill-building workshops and consultations, and support emerging web-based platforms for exploration and computation. Introduction to the Art and Science of Data Management touches on the entire data management lifecycle and best practices when establishing a Data Management practice. It includes general guidance, links to helpful documentation, issues to consider, and specific questions to think about as you prepare your data management plan. They are broadly available as enduring assets that support reproducible research. If you have questions about the NIH requirements, data management, repository selection, or assistance with your Data management and Sharing Plan, please contact the new Stanford DMP Service. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question; Ability to work with data of varying levels of quality and validity; Demonstrated ability to produce data in a clear and understandable manner meeting user requirements; Ability to work effectively with multiple internal and external The Libraries have collected tens of thousands of datasets for Stanford researchers. Researchers in Dr. Our team includes specialists in statistical support, text mining, machine learning, spatial data science (GIS), data curation, data management, and digital humanities. Aug 20, 2024 · Multiple centers within Stanford Libraries specialize in domain-specific content and methods, including hands-on support for data-intensive projects. This program aims to support data that is: Accurate and consistent; Transparent (i. Created by a group of institutions led by the California Digital Library, DMPTool is designed to help researchers create high-quality DMPs that meet the requirements of their specific funding agency. Nov 19, 2024 · Because different funding agencies have different requirements for their data management plans, it can be helpful to use a tool like DMPTool. If you have questions about the policy’s provisions concerning privacy, security, or ELSI (ethical, legal, or social implications), please e-mail Scott Researchers in Dr. Acquiring and analyzing data Sep 18, 2024 · We support computational and data-centric methods and practices. Nov 7, 2024 · Research Data Management . Nov 19, 2024 · To request a consultation related to data management and/or data sharing, please follow this link or contact John Borghi - JBorghi(at)Stanford(dot)edu. Organizing and backing up your research data. Develop and manage systems to organize, collect, report, and monitor data collection. Social science data collections; GIS: geospatial, satellite imagery, Earth observation data; Government information and census data; Web archives Humanities data collections Sep 18, 2024 · Our team includes specialists in statistical support, text mining, machine learning, spatial data science (GIS), data curation, data management, and digital humanities. org's DMBOK (Data Management Body of Knowledge) and incorporates real-life experiences from the global data management community. We provide support in two physical spaces: Software and Services for Data Science in Green Library and the Stanford Geospatial Center in Branner Library. Nov 19, 2024 · We have established procedures for onboarding new team members about our data management practices, educating members about changes to existing practices, and managing data as team members move onto new projects (that, when appropriate, are in compliance with the departing personnel policy). The DMP (Data Management Plan) Tool is an online tool that includes data management plan templates for many of the large funding agencies that require such plans. It supports the effective, accurate, and appropriate use of Stanford’s administrative data assets by analysts and decision makers across the university. The team supports data stewardship activities, documentation of data, maintenance of our data catalog and development of data use policies and procedures. For Stanford affiliates who would would like to designate the SDR as your repository in a data management plan, we provide the following text describing the service and how your data will be safeguarded and made publicly available. . throughout the entire process – starting with the creation of the Submission Record in TGDS and ending with the submission of the Data Tables’ content into the NIH’s xTRACT system. Our staff provides expertise on machine learning, text processing, and cloud services, drawing from a rich technical background to support Stanford GSB’s research agenda. It is based on concepts described in DAMA. We recommend you copy and paste this text directly into your data management plan's section on data preservation. rjm eqhej jmoltt uin fjgadv pnb msrtkbx mpb ddgoug rnpuqsq