<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Megan Senseney</style></author><author><style face="normal" font="default" size="100%">Eleanor Dickson-Koehl</style></author><author><style face="normal" font="default" size="100%">Beth Sandore Namachchivaya</style></author><author><style face="normal" font="default" size="100%">Bertram Ludaescher</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Transforming Library Services for Computational Research with Text Data.</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><publisher><style face="normal" font="default" size="100%">Association of College &amp; Research Libraries</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This report from the IMLS National Forum on Data Mining Research Using In-Copyright and Limited-Access Text Datasets seeks to build a shared understanding of the issues and challenges associated with the legal and socio-technical logistics of conducting computational research with text data. It captures preparatory activities leading up to the forum and its outcomes to (1) provide academic librarians with a set of recommendations for action and (2) establish a research agenda for the LIS community.</style></abstract></record></records></xml>