{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T08:11:36Z","timestamp":1769242296442,"version":"3.49.0"},"reference-count":4,"publisher":"China Science Publishing & Media Ltd.","issue":"1-2","content-domain":{"domain":["www.mitpressjournals.org"],"crossmark-restriction":true},"short-container-title":["Data Intellegence"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:p> Effective stewardship of data is a critical precursor to making data FAIR. The goal of this paper is to bring an overview of current state of the art of data management and data stewardship planning solutions (DMP). We begin by arguing why data management is an important vehicle supporting adoption and implementation of the FAIR principles, we describe the background, context and historical development, as well as major driving forces, being research initiatives and funders. Then we provide an overview of the current leading DMP tools in the form of a table presenting the key characteristics. Next, we elaborate on emerging common standards for DMPs, especially the topic of machine-actionable DMPs. As sound DMP is not only a precursor of FAIR data stewardship, but also an integral part of it, we discuss its positioning in the emerging FAIR tools ecosystem. Capacity building and training activities are an important ingredient in the whole effort. Although not being the primary goal of this paper, we touch also the topic of research workforce support, as tools can be just as much effective as their users are competent to use them properly. We conclude by discussing the relations of DMP to FAIR principles, as there are other important connections than just being a precursor. <\/jats:p>","DOI":"10.1162\/dint_a_00043","type":"journal-article","created":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T20:43:34Z","timestamp":1572641014000},"page":"208-219","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":27,"title":["Data Management Planning: How Requirements and Solutions are                     Beginning to Converge"],"prefix":"10.3724","volume":"2","author":[{"given":"Sarah","family":"Jones","sequence":"first","affiliation":[{"name":"Digital Curation Centre, University of Glasgow, Glasgow G12 8QQ, Scotland,                         UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2980-4400","authenticated-orcid":true,"given":"Robert","family":"Pergl","sequence":"additional","affiliation":[{"name":"Czech Technical University in Prague, Faculty of Information Technology                         (FIT CTU), 160 00 Prague 6, Czech Republic"},{"name":"Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences,                         Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rob","family":"Hooft","sequence":"additional","affiliation":[{"name":"Dutch Techcentre for Life Sciences, Utrecht 3521 AL, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Miksa","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Wien, Wien 1040, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Samors","sequence":"additional","affiliation":[{"name":"Belmont Forum, Western Australia WA 6105, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Judit","family":"Ungvari","sequence":"additional","affiliation":[{"name":"Belmont Forum, Western Australia WA 6105, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rowena I.","family":"Davis","sequence":"additional","affiliation":[{"name":"Belmont Forum, Western Australia WA 6105, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tina","family":"Lee","sequence":"additional","affiliation":[{"name":"Belmont Forum, Western Australia WA 6105, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2026","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2218\/ijdc.v7i1.219"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2218\/ijdc.v5i1.152"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3897\/rio.3.e13086"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006750"}],"container-title":["Data Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/dint_a_00043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T07:43:14Z","timestamp":1741938194000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciengine.com\/doi\/10.1162\/dint_a_00043"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":4,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["10.1162\/dint_a_00043"],"URL":"https:\/\/doi.org\/10.1162\/dint_a_00043","relation":{},"ISSN":["2641-435X"],"issn-type":[{"value":"2641-435X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1]]},"assertion":[{"value":"2020-01-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}