Intro to TagTeam
- Suggested short URL for this page = bit.ly/tagteam-intro
- TagTeam is an open-source tagging platform and feed aggregator developed for the Harvard Open Access Project under the supervision of Peter Suber.
- Version 1.0 launched quietly in June 2012 and more publicly in September of the same year. Version 1.2 launched in February 2013. Version 1.5.2 launched in April 2014. Version 1.6 launched on July 1, 2015. Version 2.0 is under active development.
- TagTeam development is based at Harvard's Berkman Klein Center for Internet & Society. The first three years of development were funded by the Harvard Library Lab.
- The source code is in GitHub under an Affero General Public License (AGPL).
- An instance of TagTeam is running at Harvard University for public use. However, users should not hesitate to download the code and install their own instances.
- The Open Access Tracking Project runs on the Harvard instance of TagTeam.
- Here's a video of Peter Suber talking about TagTeam in November 2011, and another video with an update from August 2013.
- To create an account on the Harvard instance of TagTeam, go to the front page, click sign in at the upper right corner, and sign up.
- Once you've signed up, you may create TagTeam "hubs" or projects. You may always tag items for your own hubs, but you may only tag items for other hubs with the approval of the hub owner.
- Note that since 2015, the Harvard instance of TagTeam limits new accounts to academic or research projects. In the sign-up process, you'll be asked to say something about your academic or research project.
- If you use the Harvard instance, then also see the terms of service.
- See our short manual for instructions on how to use the major features. We'll expand and improve the manual over time, and welcome your feedback.
- The original idea behind TagTeam was to create a tool with the features needed by the Open Access Tracking Project (OATP) and not already provided by other tagging platforms. Throughout development, we have been very conscious that a tool with the features needed by OATP would be useful to social-tagging projects on any topic.
- TagTeam is a general-purpose tool, and not OATP-specific.
- All TagTeam tags, feeds, and searches are open access, making it especially useful for open-science and open-access research projects.
- In addition to the standard features provided by most tagging platforms, we particularly wanted our tool to have these key features:
- Folksonomy in, ontology out. TagTeam allows user-defined tags on the input side to evolve into a standard vocabulary on the output side, under the control of project managers. This brings the benefits of user-defined tags (encouraging participation) as well as the benefits of a standard vocabulary (searching and organizing a body of knowledge).
- Interoperable tagging. TagTeam frees participants in the same social-tagging project to use the tagging platforms of their choice. They needn't tag from TagTeam itself, or any other single platform. TagTeam can collect and unify their tags from different platforms (provided those platforms publish RSS feeds for each tag).
- Remix feeds. TagTeam can produce a new feed (in RSS, Atom, or JSON) from any boolean combination of component feeds, whether those component feeds are produced by TagTeam itself (e.g. its tags and searches) or by sources outside TagTeam.
- Deduped feeds. Like many other tagging platforms, TagTeam publishes an RSS feed for each tag. But unlike any others, it removes duplicate items from each feed. If one purpose of an output feed is alerting readers to new developments, then duplicates in the feed are a bug, not a feature, and they slow down busy readers.
- Spam control. TagTeam allows project managers to control spam by blocking identified spam and spammers.
TagTeam is a versatile, open-source, social-tagging platform and feed aggregator. It lets members of a research project tag online resources (articles, books, datasets, news stories, and so on) to alert subscribers to new developments or to organize knowledge in the field. Other tagging platforms already offer rudimentary versions of these services. TagTeam goes further by allowing user-defined tags or folksonomies to evolve into standard vocabularies or ontologies under the direction of project managers. In addition, TagTeam combines the contributions of project participants even if they do not all use the same tagging platform, and even if they do not use TagTeam.
From another point of view, TagTeam is a mashup engine for social-tagging projects. It can integrate the tags and tag feeds from multiple tagging platforms. After making its own copies of these tag records, it supports many kinds of targeted modification and combination. Then it publishes outputs in standard formats, like XML, for further mashups by other projects. At the same time, it stores all the tag records to which it subscribes, and added by users, for flexible, boolean searching.
- TagTeam supports any number of hubs or social-tagging projects. Each hub can subscribe to any number of input feeds and publish any number of output feeds.
- It accepts input feeds from different tagging platforms, such as Delicious and CiteULike. It accepts inputs from any tagging platform that generates RSS or Atom feeds for its tags. It can accept these inputs either by subscribing to the tag feeds or by importing files of tag records.
- It integrates tags created on different tagging platforms.
- For example, if some members of a research project use Delicious, some use CiteULike, and some use TagTeam itself, and if they agree on a common tag for project-related resources, then TagTeam can publish a unified feed of all the the items they tag with that tag, regardless of the tagging platform they used. If members of the project agree on a set of common tags (a vocabulary or ontology), TagTeam can publish a set of unified feeds.
- It supports tagging through its own bookmarklet, for users who prefer to tag directly from TagTeam rather than from a supported platform such as Delicious or CiteULike. It generates RSS, Atom, and JSONP feeds for each of its tags. Other services online can easily convert these to Twitter or email feeds.
- It supports both automated and manual modification of input feeds, feed items, and item tags. All modifications of both kinds show up in searches and output feeds.
- Automated filtering allows a project to convert deprecated tags to approved tags. Automated filters are both retroactive (changing all stored occurrences of a tag) and prospective (changing all future occurrences).
- Manual filtering allows a project to delete spam, and to correct tagging mistakes too difficult to correct algorithmically.
- It removes duplicate records from searches and output feeds, and merges the tags used in duplicate records.
- For example, if two users tag the same item, one with tags A and B, and the other with tags B and C, then TagTeam will store and publish only one record of the item, with tags A, B, and C.
- It supports user roles, allowing access to advanced features for some users and not others.
- For example, other tagging platforms allow users modify their own tags retroactively, and only their own. Ordinary TagTeam users have the same power. But TagTeam hub owners (project managers) may modify any tags in their hub, and may use both automated and manual filtering to do so. This is an essential tool for creating tag convergence or developing a project ontology.
- It stores all tag records in a local database for deduping, export, preservation, modification, and searching. The search engine supports boolean searching, phrase searching, wildcard searching, and fuzzy searching.
- It allows different hubs to share input feeds, and allow different hubs to give different local names to the same feed.
- It allows users to create output feeds from any boolean combination of input feeds or any boolean combination of tags.
- It spiders or updates its input feeds often enough for its output feeds to provide useful real-time alerts. Hence it combines a prospective alert service with a retrospective knowledge-organization service.