1/13/2024 0 Comments Software reference tracker![]() Products with a web application, an iOS app, and an Android app became more common. The type of project that we were working on at Nimble became larger, more sophisticated, and multi-platform. While my love for Tracker hasn’t changed since it blossomed, I started facing some challenges. I wouldn’t have been able to do that if not for Tracker. It was a well-groomed and actionable backlog (but that’s also thanks to our product management workflow). Seriously, I have entirely re-prioritized a web application backlog while on the road in one hour. Grooming backlogs and changing priorities became a dead-simple task. Because Tracker knew it too, it could assist me with sprint planning (the best feature in Tracker, in my opinion). It’s only after using it extensively for a while that I realized how powerful Tracker is for managing Agile software development. What I thought (and hoped) would be a short-term “lesser of two evils” situation changed. At least until something better comes up. It was with a heavy heart that I decided to stick to Tracker. ![]() I couldn’t find anything that served our needs better than what Pivotal Tracker could. Pivotal Tracker: A Reference for Software DevelopmentĪs it turned out, my quest led me nowhere. Less fun.Īnyway, while the quest was a natural part for me, finding a shiny tool that was better than Pivotal Tracker wasn’t as easy as I’d thought. However, if it is indeed better than what I currently use, then I would have to migrate my data and workflows. When there’s a new excellent tool out there, the chances are that I’ll try it out. I have to try it out and wonder if it’s better than what I currently use. When I see a new and shiny SaaS I can’t help myself. I have to be honest with you: I love trying out new tools. Much nicer than a few years ago □ Chasing the Unicorn Olivier just said that, if I could find something better, he’d be happy to change. I was so rebutted by its cramped and stark user interface that my first question was, “Can we find a better tool?” We’re driving a national agenda to acknowledge research software as a valuable research output through the uptake of software citation.When I was first introduced to Pivotal Tracker by Olivier - Nimble’s CTO- over three years ago, my initial reaction was, “What is this awful looking tool?!”.We contribute to international initiatives through the Research Data Alliance, which aims to improve data and software citation and tracking.We work with Clarivate’s Data Citation Index to track and record data and software citations as part of research assessment activities.We work with research funding agencies to promote data and software as primary research outputs that should be included in the research assessment process.We offer a DOI Service to assign DOIs to datasets, software and collections.How the ARDC supports data and software citation Los Alamos National Laboratory (LANL), Los Alamos, NM (United States). The Functionally-Assembled Terrestrial Ecosystem Simulator Version 1. (Dataset) Standard software citationĬreator (Publication Year): Title. The Australian National University Australian Data Archive. Hanigan, Ivan (2012): Monthly drought data for Australia 1890-2008 using the Hutchinson Drought Index. Below are examples of what elements a standard data citation and software citation should include: Standard data citationĬreator (Publication Year): Title. Styles and formats for data citations vary in the same way article citation styles and formats vary. Published research data and software can be cited in the same way as other scholarly outputs. cited data and software can be counted and tracked (in a similar manner to journal articles) to measure impact.citing data and software in related publications may increase the citation rate of the publication.citations for published data and software can be included in journal articles, reports, conference papers and CVs.it provides credit for those who spend time developing software or collecting, manipulating and analysing research data and acknowledges data and software as first class research outputs.it facilitates reproducible and transparent research.The citation of data and software is essential because: Why data and software citation is important Citing data and software is one of the key practices leading to recognition of data and software as a primary research output. It is now considered best practice to provide a reference to data and software in the same way as researchers routinely provide a bibliographic reference to outputs such as journal articles, reports and conference papers. Citing data and software: a key to recognising primary research outputs.
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