The Library provides access to all sorts of information resources to support your learning and research. You can search all of the library's collections through the Library Catalogue, or get more information on each type of information resource and how it might be useful to your studies below.
- Using the Library
Find your way
Learn more about the Library as a physical place, find top tips and answers to frequently asked questions (FAQ), find out about the study spaces and services available in the Main, Medical and Nursing & Midwifery Libraries, and if you are not a student or staff member of NUI Galway, you can find out here how to access the Library.
We're here to help
Library staff provide support, help, and training to enable you to get to grips with the literature of your subject and the Library's resources. We have staff with expertise on information resources in your subject area.
- Digital Scholarship
The Library welcomes opportunities to advance our Digital Scholarship. Our areas of contribution include content, technology, infrastructure, partnership and the practice-based expertise in our team.
Frequently Asked QuestionsUse this section to find answers to some of the most frequently asked questions. If you can't find an answer then contact us.
Research data is generated for different purposes and through different processes. The following classification is from the Research Information Network
Observational: Data captured in real-time, usually irreplaceable. For example, sensor data, survey data, field recordings, sample data.
Experimental: Data captured from laboratory equipment. The data is often reproducible but reproduction would be costly. For example, gene sequences, chromatograms, magnetic field data.
Models or Simulation: Data generated from test models. For example, climate, mathematical and economic models.
Derived or compiled: Data is reproducible but reproduction would be costly. For example, text and data mining, 3D models, compiled databases.
Reference or canonical: A static or organic conglomeration or collection of smaller datasets, probably published and curated. For example, gene sequence databanks, collections of letters or archives of images.
- Documents, spread-sheets and presentations
- Laboratory notebooks
- Field notebooks, diaries
- Questionnaires, surveys, transcripts
- Audio and video tapes
- Photographs and films
- Test responses or results
- Database contents (video, audio, text, images)
- Data files
- Models, algorithms, scripts
- Contents of an application (input, output, schemas)
- Methodologies and workflows
- Collection of digital objects acquired and generated during the process of research
- Physical objects such as slides, artefacts, specimens, samples
Typically researchers are asked to cover:
- Description of the data to be collected / created
- Standards / methodologies for data collection and management
- Ethics and Intellectual Property concerns or restrictions
- Plans for data sharing and access
- Strategy for long-term preservation
Most funders provide specific guidance in their research data policies or data management plan requirements. Designated data centres also provide advice. Some examples include:
- UK Data Archive Data Management Checklist helps you identify what to put in place for good research data practices, and which actions to take to optimize data sharing.
- DCC Data Management Plans includes a flexible web-based tool DMPonline for writing data management plans to meet the specific requirements of your funders.
- A suggested Data Management Plan template and further guidance is provided in the Horizon 2020 guidance document Guidelines on Data Management in Horizon 2020.