Enforceability of Database Licensing Agreement: A Comparatives Study Between Malaysia and the United States of America
Bibliographic record
Abstract
Licensing agreement is one of the mechanisms to secure the interest of database producers. A breach of any contractual term in the agreement will entitle a database producer to a contractual remedy. As regards to contractual protection, there are two important issues to be addressed. First, the clauses in the licensing agreement, and secondly, the issue of enforceability of certain database agreement, such as shrink wrap or click wrap license. The second issue must be resolved before a database producer is able to implement the terms and conditions provided in the database licensing agreement. This is because it determines the validity of the contract. With a valid contract, the contractual terms may be used to protect the interest of the database producers. The unconscionability of the terms in the database licensing seems to be a major issue. This issue arises due to the fact that the contractual terms are not read by licensee upon the conclusion of agreement and the inequality of bargaining power exists. Asymmetrical or unfair terms will cause unfairness to database users who will be prevented through the principle of undue influence or the common law doctrine of unconscionability. Although no clear statutory provision has provided a solution to the problem, there are two ways of dealing with it. First, the database producer must ensure that he does not use his dominant position to exercise unconscionable dealings. Secondly, it is advisable to incorporate a term providing that the buyer or user has the opportunity to reject the contract if he disagrees with the terms. To ensure the interest of the database producers the agreement should provide notice as to the database’s terms of usage. This may form the basis of a breach of contract in the event that the stipulated terms are violated. A good contractual agreement is an agreement which protects the interest of both parties; i.e., the database producers and the users. To achieve that, both parties should come to a mutual agreement on the terms in the contract. The license should incorporate necessary provisions such as restrictions on use to protect the legitimate interest of the database producer. However licensees should also be given sufficient freedom to use the database content to meet their legitimate needs and should be prohibited from using the information in ways that would diminish the value of the database producer’s investment in the database.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".