Research Data Services

The Temple University Libraries has established Research Data Services (RDS) to support researchers at each stage of the data lifecycle. RDS encourages you to schedule a consultation to discuss your research data needs. RDS staff will examine your needs and propose strategies for meeting your objectives according to the appropriate stage in the data lifecycle. To schedule a consultation, please email the RDS Team at Or you can ask us a Data Question.

Data Needs Assessment

There are many points in the data lifecycle that Research Data Services can provide assistance, such as data discovery, organization, description, documentation, analysis, distribution, storage, and archiving.  RDS can help you assess the data needs of your research project and offer you data management options.

Data Management Planning

Major funding agencies now require data management plans as part of the grant proposal process. Research Data Services can assist you with your Data Management Plan.

DMPTool - data management planning tool

Data Management - a guide to data management

Data Curation

Research Data Services can help you identify the appropriate data repository for storing, preserving, and sharing your research data.

Data Repositories - a listing of subject-specific data repositories

Data-Related Instruction

Throughout the year, the Libraries offer workshops and events focused on topics related to data management best practices, data discovery, and data literacy. Workshops can be tailored to the needs of faculty, students, departments, or labs.



Searching for Data?

Research Data Services can help you to locate data in freely available and proprietary databases and data repositories.

Datasets and Data Repositories - a guide to data sources

Ask a Data Question


Data Lifecycle

In a carefully planned research project, the collection, processing, documentation, and analysis of data should take place within a framework that also encourages its long-term storage, preservation, and re-use. This is the reason that many funding agencies now require a data managment plan as part of the grant proposal process. Thinking in terms of a data lifecycle facilitates this approach. There are a number of different data lifecycle models. Below are a few examples.

data lifecycle diagram




ddi lifecycle