[Help texts are included in SQUARE BRACKETS and should be deleted before saving.] ReadMe file for USN Research Data Archive ReadMe file generated on YYYY-MM-DD by NAME ------------------- GENERAL INFORMATION ------------------- Title of Dataset: Contact Information [of the person to be contacted for questions about the dataset] - Name: - Institution: - Email: - ORCID: DATE(S) OF DATA COLLECTION AND/OR TIME PERIOD COVERED [Recommended standard format YYYYMMDD] GEOGRAPHIC LOCATION(S) OF DATA COLLECTION [Where was the data collected? if applicable.] TYPE OF DATA: [e.g. survy data, observation data, experimental data, clinical data, textual data, machine-readable text, or other type, specify] DESCRIPTION OF DATASET: [Give a description of what the dataset is about, including reference to related publication(s) and project(s), if applicable. Should correspond to the information entered in the metadata fields Description and Resource title.]   LANGUAGE [Fill in the language used in the dataset.] [General information not to include contact information such as author names, or any other potentially identifying information, if the data is being submitted to a journal with a double-blind review process in place.] --------------------------- METHODOLOGICAL INFORMATION --------------------------- DESCRIPTION OF SOURCES AND METHODS USED FOR COLLECTION AND/OR GENERATION OF DATA [Give general information about the collection/generation process] [What technique did you use in collecting/generating the data?] [Where any devices, software programmes or machines used to collect the data? If so what?] METHODS FOR PROCESSING THE DATA: [If data other than raw data are provided, describe how the submitted data were processed from the raw or collected/generated data. The documentation of methods used for data processing should include (if applicable): details that may influence reuse or replication efforts; data cleaning and analysis syntax; code or algorithms, with commenting to explain steps taken, to reproduce all reported findings; de-identification procedures for sensitive human subjects or endangered species data. If applicable, code, algorithm or command files used to create derived data should be included in the dataset and referred to in this section.] [Remove sections below that are not applicable.] Facility-, instrument- or software-specific information needed to interpret the data: [If not covered above, include full name and version of software, and any necessary packages or libraries needed to read and interpret the data, e.g. to run scripts. For experimental data, specify and describe the facilities and instruments used in the experiment(s).] Standards and calibration information: Environmental/experimental conditions: Describe any quality-assurance procedures performed on the data: ---------------- FILE INFORMATION ---------------- File List: [List all files contained in the dataset. For each file, provide: - a brief description of what data it contains, - date for the file creation, and date for updates - the file format (e.g. plain text) if not obvious from file extension (e.g. .txt), - if necessary, include system and hardware requirements needed to open and read the file,] ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: [FILENAME] ----------------------------------------- [Repeat this section for each file, as appropriate. Recurring items may also be explained in a common initial section.] [For TABULAR data, provide a data dictionary/code book containing the following information:] Variable/Column List: [List variable/column name(s), description(s), unit(s) of measurement, decimal separator (comma or point), value labels, and source(s) as appropriate for each.] Missing data codes: [Define codes or symbols used to indicate missing data.] Specialized formats or other abbreviations used: [For QUALITATIVE data (e.g. interviews, images), provide a data list:] Data List: [The data list should contain the following information, as appropriate: interview identifier (ID); age; gender; occupation, organisation; location; place of interview; date of interview; transcript file name. Information included should be detailed enough to enable sub-setting and filtering, but not detailed enough to enable identification of participants where confidentiality has been promised.] Contextual Information: [Where applicable, provide biographical or other contextual information relating to the interview or interviewee, either embedded at the beginning of the transcript files, as a summary page, or added below, as appropriate.] ----------------- ANY OTHER DETAILS ----------------- Provide any other details that may influence reuse or replication efforts of your data -------- SHARING -------- ALL UPLOADED DATASETS HAVE THEIR OWN CITE AND SHARING SECTION IN USN RESEARCH DATA ARCHIVE [If your data require different citation methods than the traditional citation methods, please specify.] [Save the ReadMe file in plain text format (.txt)(with Unicode UTF-8 character encoding)] [Acknowledgements. This README file template is adapted from the following documents/resources: Conzett, Philipp. (2023). DataverseNO README File Template - General (2.3). Zenodo. https://doi.org/10.5281/zenodo.7828073 Cornell University. Guide to writing "readme" style metadata. Available at: https://data.research.cornell.edu/content/readme#bestpractices]