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- are there any existing procedures that you will base your approach on?
- does your department/group have data management guidelines?
- does your institution have data protection or security policy that you will follow?
- does your institution have a Research Data Management (RDM) policy?
- does your funder have a research data management policy? – are there any formal standards that you will adopt?
Data Collection
What data will you collect or create?
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- Laboratory notebooks: The graduate student and PI will record by hand any observations, procedures, and ideas generated during the course of the research.
- Experimental raw data files: These files will consist of ASCII text that represents data directly collected from the various electrical instruments used to measure the thermoelectric properties of the superlattice nanowire thermoelectric devices.
- Experimental analysis data files: These files will consist of spreadsheets and plots of the raw data mentioned in Part A. The data in these files will have been manipulated to yield meaningful and quantitative values for the device efficiency. The analysis will be performed using best practice and acceptable methods for calculating device efficiency.
- Simulation data: These data will represent the results from commercially available simulation and modeling software to model the quantum confinement.
- Microscopy images: Images of the proposed silicon nanostructures will be generated by scanning electron microscopy (SEM), transmission electron microscopy (TEM) at high resolution to quantify wire diameter and roughness, and atomic force microscopy (AFM).
- Optical images: Images of the nanostructured devices will be collected using an optical microscope at various magnification settings.
- Superlattice nanowire samples: The nanostructured samples will consist of silicon quantum dot superlattice nanowires. The experimenter will use these samples to measure device efficiencies.
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What documentation and metadata will accompany the data?
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Each directory will contain an INFO.txt file describing the experimental protocol used in that experiment. It will also record any deviations from the protocol and other useful contextual information. Microscope images capture and store a range of metadata (field size, magnification, lens phase, zoom, gain, pinhole diameter etc) with each image. This should allow the data to be understood by other members of our research group and add contextual value to the dataset should it be reused in the future.
Ethics and Legal Compliance
How will you manage any ethical issues?
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See the DCC guide on How to license research data, and EUDAT's data and software licensing wizard
Storage and Backup
How will the data be stored and backed up during the research?
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- What are the risks to data security, and how will these be managed?
- How will you control access to keep the data secure?
- How will you ensure that collaborators can access your data securely?
- If creating or collecting data in the field, how will you ensure its safe transfer into your main secured systems?
Selection and Preservation
Which data are of long-term value and should be retained, shared, and/or preserved?
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TalTech has its own repository for scientific data, where the data can be uploaded, stored and published.
Data Sharing
How will you share the data?
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Datasets from this work which underpin a publication will be deposited in XXX: institutional data repository, and made public at the time of publication. Data in the repository will be stored in accordance with funder and University data policies. Files deposited in repository XXX data will be given a Digital Object Identifier (DOI) and the associated metadata. The DOI issued to datasets in the repository can be included as part of a data citation in publications, allowing the datasets underpinning a publication to be identified and accessed. Metadata about datasets held in the XXX will be publicly searchable and discoverable and will indicate how and on what terms the dataset can be accessed.
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Who will be responsible for data management?
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