Directives from major research funding agencies in the past decade or so established Data Sharing requirements for grant applications: specifically, applications must include a supplementary document, usually called a “Data Management Plan” that describes how the proposal will conform to policy on the dissemination and sharing of research results.
Key organizations working on development standards for data management and curation
Council on Library and Information Resources: With IMLS funding, a CLIR team conducted the DataRes project to "explore ways in which the library and information science (LIS) profession could best respond to the need for better research data management in universities." Click on the link to read their final report: Researcher Data Management
DataCite: Focused on developing and supporting "methods to locate, identify and cite data and other research objects. Specifically, DataCite develops and supports the standards behind persistent identifiers for data, and our members assign them.
IASSIST: IASSIST members "advocate for responsible data management and use, to build a broader community surrounding research data, and encourage the development of data professionals."
Guidelines for data management and curation in the social sciences
Data management plan: a formal document that outlines what a researcher/research team will do with the data collecting during and after a research project.
Data curation: The University of Illinois’ Graduate School of Library and Information Science defines data curation as “the active and ongoing management of data through its life cycle of interest and usefulness to scholarship, science, and education. Data curation activities enable data discovery and retrieval, maintain its quality, add value, and provide for reuse over time, and this new field includes authentication, archiving, management, preservation, retrieval, and representation.” Factors to be considered include file formats, data documentation (ie, metadata collection), and accessibility.
Data archives/repositories: typically formalized, institutional repositories for data. Archives provide for long-term, stable, reliable access to data.
Data Planet facilitates storage, accessibility, usability, maintenance and archiving of statistical data, sourced from both third parties and direct from researchers, via our Data Hosting Services. Our Data Hosting Services seamlessly and securely integrate your data in the Data Planet platform, allowing users to compare and correlate your data against the entire Data Planet repository of statistical datasets in a single, easy-to-use interface. Our Data Hosting Services support researcher data management plans required by funding agencies.
→ For data licensed from a third-party data publisher, we will work with the publisher to 1) properly load the data into the Data Planet repository, 2) update and maintain the data, and 3) report usage of the data. We will help the licensee meeting license requirements and control access to the data.
• Surface data of interest using the search and browse tools of the Data Planet platform.
• Including your data in Data Planet does not restrict it from being deposited in any other archive or repository.
Data security refers to measures taken to prevent unauthorized access to computers, databases and websites. Data security also protects data from corruption. Ensuring data security requires attention to three key areas, and here at Data Planet, we make sure do just that.