Recognizing, reporting and reducing the data curation debt of cohort studies.
Recognizing, reporting and reducing the data curation debt of cohort studies.
复制标题
DOI：
10.1093/ije/dyaa087
复制
发表时间：
2020-08-01
影响因子：
7.7
通讯作者：
Burton PR
中科院分区：
文献类型：
--
作者：
Butters OW;Wilson RC;Burton PR
良好的数据管理是队列研究不可或缺的一部分，但它并不总是达到确保研究数据寿命所需的水平。在这篇意见书中，我们引入了数据策展债的概念-数据策展相当于软件工程的技术债原则。使用英国队列研究的背景下，我们定义数据策展债务描述的例子和它们的潜在影响。我们强调，累积这些债务可能会使未来更难以使用这些数据。此外，队列研究的长期运行性质意味着这种债务的利息会随着时间的推移而增加，增加了债务可能对研究及其利益相关者的影响。数据策展债务的主要原因分为三类：硬件、软件和数据格式的寿命;资金;技能短缺。基于跨领域的最佳实践，提出了减少债务和预防措施的战略，重点是承认和透明的报告数据策展债务。以这种方式描述债务，我们用所有队列研究利益相关者都能理解的简单术语概括了一个多方面的问题。数据管理债务不仅限于英国，而且是国际社会必须意识到和解决的问题。本文旨在激发队列研究及其利益相关者之间关于如何解决数据策展债务问题的讨论。如果数据管理债务不受控制，可能就不可能使用高价值的队列研究数据，并最终对研究本身构成生存风险。
Good data curation is integral to cohort studies, but it is not always done to a level necessary to ensure the longevity of the data a study holds. In this opinion paper, we introduce the concept of data curation debt—the data curation equivalent to the software engineering principle of technical debt. Using the context of UK cohort studies, we define data curation debt—describing examples and their potential impact. We highlight that accruing this debt can make it more difficult to use the data in the future. Additionally, the long-running nature of cohort studies means that interest is accrued on this debt and compounded over time—increasing the impact a debt could have on a study and its stakeholders. Primary causes of data curation debt are discussed across three categories: longevity of hardware, software and data formats; funding; and skills shortages. Based on cross-domain best practice, strategies to reduce the debt and preventive measures are proposed—with importance given to the recognition and transparent reporting of data curation debt. Describing the debt in this way, we encapsulate a multi-faceted issue in simple terms understandable by all cohort study stakeholders. Data curation debt is not only confined to the UK, but is an issue the international community must be aware of and address. This paper aims to stimulate a discussion between cohort studies and their stakeholders on how to address the issue of data curation debt. If data curation debt is left unchecked it could become impossible to use highly valued cohort study data, and ultimately represents an existential risk to studies themselves.
登录
查看更多内容
影响因子：
4.5
作者：
Murtagh, Madeleine J.;Blell, Mwenza T.;Burton, Paul R.
通讯作者：
Burton, Paul R.
影响因子：
3.7
作者：
Doherty A;Jackson D;Hammerla N;Plötz T;Olivier P;Granat MH;White T;van Hees VT;Trenell MI;Owen CG;Preece SJ;Gillions R;Sheard S;Peakman T;Brage S;Wareham NJ
通讯作者：
Wareham NJ
影响因子：
9.8
作者：
Wilkinson MD;Dumontier M;Aalbersberg IJ;Appleton G;Axton M;Baak A;Blomberg N;Boiten JW;da Silva Santos LB;Bourne PE;Bouwman J;Brookes AJ;Clark T;Crosas M;Dillo I;Dumon O;Edmunds S;Evelo CT;Finkers R;Gonzalez-Beltran A;Gray AJ;Groth P;Goble C;Grethe JS;Heringa J;'t Hoen PA;Hooft R;Kuhn T;Kok R;Kok J;Lusher SJ;Martone ME;Mons A;Packer AL;Persson B;Rocca-Serra P;Roos M;van Schaik R;Sansone SA;Schultes E;Sengstag T;Slater T;Strawn G;Swertz MA;Thompson M;van der Lei J;van Mulligen E;Velterop J;Waagmeester A;Wittenburg P;Wolstencroft K;Zhao J;Mons B
通讯作者：
Mons B
影响因子：
7.7
作者：
Kuh, Diana;Pierce, Mary;Hardy, Rebecca
通讯作者：
Hardy, Rebecca
DOI：
10.1093/bioinformatics/btv279
发表时间：
2015-10-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Burton PR;Murtagh MJ;Boyd A;Williams JB;Dove ES;Wallace SE;Tassé AM;Little J;Chisholm RL;Gaye A;Hveem K;Brookes AJ;Goodwin P;Fistein J;Bobrow M;Knoppers BM
通讯作者：
Knoppers BM