[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-166678-105":53,"doc-detail-166678-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","version-control-research-data-team-university-library","VERSION CONTROL - RESEARCH DATA TEAM, UNIVERSITY LIBRARY","","This document, titled \"VERSION CONTROL\" from the RESEARCH DATA TEAM at the UNIVERSITY LIBRARY, emphasizes the crucial role of version control in maintaining research accountability. It explains how version control enables researchers to identify the most current version of a dataset, track the specific version used for analyses, and generate visualizations accurately. The document highlights scenarios where version control is essential, including collaborative data updates, distributed data maintenance, and the development of multiple dataset copies for distinct purposes. It provides guidance on establishing effective file naming conventions for version control, suggesting the inclusion of version numbers, author initials, modification dates, and status indicators like 'draft' or 'final'. Furthermore, the document introduces the concept of a version control table as a superior method for documenting data edit histories, and briefly mentions other advanced version control tools such as Git, Mercurial, eNotebooks, Records Online, CloudStor+ Sync Client, and Folder Monitor for managing data evolution.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/version-control-research-data-team-university-library/166678/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/version-control-research-data-team-university-library/166678.png","ImageObject",442,249,{"name":88,"@type":89},"Aria Callaghan","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-09-29","2026-08-31",true,{"@type":98,"interactionType":99,"userInteractionCount":73},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"Why is version control important for research data?","Question",{"text":108,"@type":109},"Version control is important for research accountability as it allows you to track which version of a dataset is the most current and ensures you know which version was used for specific analyses or visualizations.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"When is version control typically required for datasets?",{"text":113,"@type":109},"Version control is typically required when a dataset has multiple users updating it, when it is updated in different locations, or when multiple versions of a dataset are created for various purposes.",{"name":115,"@type":106,"acceptedAnswer":116},"What are some elements to consider including in a file naming convention for version control?",{"text":117,"@type":109},"When creating a file naming convention for version control, consider including the version number (e.g., v1, v2), the initials of the person who modified the data, the date of modification, and the status of the file (e.g., draft, final).","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},166678,1790658470,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":76,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":9,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":4},962084926284,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","VERSION CONTROL\nRESEARCH DATA TEAM, UNIVERSITY LIBRARY\nVersion control is important for research accountability. It enables you to know which version of a dataset is the most recent, or which version was used to conduct a specific analysis or generate a visualisation. Version control may be required:\nwhen there are multiple users updating a dataset\nwhen a dataset is updated in multiple locations\nwhen multiple copies of a dataset are developed for different purposes.\nNaming Versions\nSome version control practices require each new version of the dataset to be saved separately and given a new file name. You should choose a file naming convention that will help you identify the different versions easily. Some details to consider using as part of a file naming convention for version control are:\nversion number (e.g. v1, v2, v3 or 1.0, 1.1, 2.0)\ninitials of the person who modified the data (e.g. JM, KMc, SC)\ndate modified (e.g. 20160224)\nstatus (e.g. draft, revised, final)\nVersion Control Table Template\nMuch of this information is better captured in a separate version control table, rather than as part of the file name. A version control table documents the edit history of your data.\nOther Version Control Tools\nVersion control can also be managed using other purpose-built tools, such as:\nversioning software, e.g. \u0013 HYPERLINK \"https://git-scm.com/\" \u0014Git\u0015 or \u0013 HYPERLINK \"https://www.mercurial-scm.org/\" \u0014Mercurial\u0015\ndocument management tools with automatic versioning, e.g. \u0013 HYPERLINK \"http://sydney.edu.au/research_support/eln/index.shtml\" \u0014eNotebooks\u0015 or \u0013 HYPERLINK \"http://sydney.edu.au/arms/rol/index.shtml\" \u0014Records Online\u0015\nfile syncing tools to automatically merge changes, e.g. \u0013 HYPERLINK \"http://staff.ask.sydney.edu.au/app/answers/detail/a_id/830/kw/830\" \u0014CloudStor+ Sync Client\u0015 or \u0013 HYPERLINK \"https://informatics.sydney.edu.au/rdm/enotebooks/folder-monitor/\" \u0014Folder Monitor\u0015","cbCais7goQBTAYH1","https://ap.wps.com/l/cbCais7goQBTAYH1","docx",110528,"English","# VERSION CONTROL\n## Naming Versions\n## Version Control Table Template\n## Other Version Control Tools","[{\"question\":\"Why is version control important for research data?\",\"answer\":\"Version control is important for research accountability as it allows you to track which version of a dataset is the most current and ensures you know which version was used for specific analyses or visualizations.\"},{\"question\":\"When is version control typically required for datasets?\",\"answer\":\"Version control is typically required when a dataset has multiple users updating it, when it is updated in different locations, or when multiple versions of a dataset are created for various purposes.\"},{\"question\":\"What are some elements to consider including in a file naming convention for version control?\",\"answer\":\"When creating a file naming convention for version control, consider including the version number (e.g., v1, v2), the initials of the person who modified the data, the date of modification, and the status of the file (e.g., draft, final).\"}]","VERSION CONTROL - RESEARCH DATA TEAM, UNIVERSITY LIBRARY | DOCX",1788197911]