[Instructions in this document are in between brackets.] [When you are done filling this template delete all instructions and delete any sections or questions that do not apply to the dataset.] [Fill this template as thoroughly as possible to ensure the reusability of your dataset.] [This document has been created by the CSUC Research Support Working Group basedon the staff of the Libraries Service of the Universitat Autònoma de Barcelona] [For questions or guidance about using this template contact info.biblioteques@upc.edu] [This template is published under a CC0 license.] This documentation file was generated on [date in YYYY-MM-DD format] by [Name] GENERAL INFORMATION ------------------- 1. Title of Dataset: 2. Authorship: [Fill out the information about researchers according to this structure. Repeat the process, one for each author.] Name: Institution: Email: ORCID: DESCRIPTION ----------- 1. Dataset language: 2. Abstract: [The abstract should describe the dataset, not the research or the results obtained after analyzing the dataset. The dataset abstract should be different from the article, book or thesis abstract. The abstract can be written in several languages.] 3. Keywords: [A minimum of three keywords. You can write them in different languages.] 4. Date of data collection (single date or date range): [Format YYYY-MM-DD or YYYY-MM-DD - YYYY-MM-DD] 5. Date of dataset publication: [Format YYYY-MM-DD] 6. Funding sources: [Repeat the information for each funder if applicable] Funding agency: Project number: 7. Geographic location/s of data collection: [Latitude, longitude, city, region, country, etc.] ACCESS INFORMATION ------------------ 1. Creative Commons License of the dataset: [Recommended license CC0] 2. Dataset DOI: [This information will be filled in by the UPCommons team after validating data.] 3. Related publication: [Bibliographic citation of the publication related with the dataset in your discipline's standard style, including DOI.] 4. Link to related datasets: [(E.g. Datasets from the same project) according to this structure.] DOI/URL: VERSIONING AND PROVENANCE ------------------------- 1. Last modification date: [Format YYYY-MM-DD] 2. Was data derived from another source?: [Answer Yes or No. If Yes, list source in your discipline's standard style.] 3. Additional related data collected that was not included in the current data package: METHODOLOGICAL INFORMATION -------------------------- [Describe the methodology used to generate the dataset.] [Do not copy paste the methods section from a pending publication unless you have made sure that you can do that: some journals may consider this as a publication, and will not accept the manuscript.] [If you want to refer to an article that has not been accepted for publication yet, include as much information as you have at the moment.] [Include the DOI in the citation.] 1. Description of methods used for collection-generation of data: [Include references, in your discipline's standard style, to publications or other documentation containing experimental design or protocols used in data collection.] 2. Methods for processing the data: [Describe how the submitted data were generated from the raw or collected data.] 3. Instrument- or software- specific information needed to interpret the data: [Include version of software. If software is not openly available, explain where to get the software. Consider changing the format of the dataset into an open format (recommended).] 4. Instruments, calibration and standards information: 5. Environmental or experimental conditions: [E.g.: atmospheric influences, computational environment, etc.] 6. Quality-assurance procedures performed on the data: FILE OVERVIEW -------------- [All files in the dataset should be listed here. Filenames should include the extension (.csv, .pdf, etc.)] 1. Explain the file naming convention, if applicable: 2. File List: [Repeat the structure for every file. Include directory/folders structure, if applicable.] Filename: Short description: 3. Relationship between files: 4. File format: TABULAR DATA-SPECIFIC INFORMATION --------------------------------- This section should be created for each file or dataset that requires explanation of variables (typically, tabular data). All variables should be described. Include the measurement units.] 1. File name: 2. Number of rows and columns: 3. Variable list: [Repeat the structure for each variable.] Variable name: Description: Measurement units or value labels: 4. Missing data codes: [Repeat the structure for each code or symbol.] Code or symbol: Definition: 5. Specialized formats or abbreviations used: MORE INFORMATION ---------------- [Include any other information about the dataset not reflected in the template that you consider relevant]